whatmodel.sh · find the best AI models you can run

Best AI models for math to run locally

A leaderboard of the best AI models for math you can run on your own computer. Qwen3.8 Max (2.4T-A95B) is #1 right now, followed by Kimi K3 and GLM-5.3. Models are ranked on math tests, from competition problems like AIME to research problems like FrontierMath. Each model shows the download that fits and the command to run it.

357 models · scores combine 59 benchmarks · updated how it works · find a leaderboard · benchmark your machine

Scores use reviewed math evaluations only. Compare scores within this task. Models without task measurements are excluded.

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Score vs memory to run

#modeltask score↓where↓speed↓RAM↓context↓get itsources
19Qwen3.8 Max (2.4T-A95B) Alibaba75±1local~380GB262kllama.cpp › Epoch AI — internal evaluationsMathArena ArXivMath / BrokenArXiv / ArXivLean model-output datasets
24Kimi K3 Moonshot AI74±1local~884GB1Mllama.cpp › Epoch AI — internal evaluationsMathArena ArXivMath / BrokenArXiv / ArXivLean model-output datasets
29GLM-5.3 Z.ai72±1local~239GB1Mllama.cpp › Epoch AI — internal evaluations
33DeepSeek V4.1 Flash DeepSeek71±1local~537GB1Mhow to run › Epoch AI — internal evaluationsdeepseek-ai/DeepSeek-V4.1-Flash model card
34DeepSeek V4 Pro (0813) DeepSeek71±1local~1010GB1Mllama.cpp › Epoch AI — internal evaluationsdeepseek-ai/DeepSeek-V4.1-Flash model card
40DeepSeek V4 Flash (0731) DeepSeek70±1local~92GB1Mllama.cpp › Epoch AI — internal evaluationsdeepseek-ai/DeepSeek-V4.1-Flash model card
42Kimi K2.6 Moonshot AI70±1local~317GB262kllama.cpp › Epoch AI — internal evaluationsMathArena ArXivMath / BrokenArXiv / ArXivLean model-output datasetsNVIDIA — Nemotron 3 Ultra technical reportMathConstraint: Automated Generation of Verified Combinatorial Reasoning Instances for LLMs — authors' own model runsA.X K2 Technical Report (SK Telecom), arXiv 2608.30181v1
43GLM-5.2 Z.ai69±1local~121GB1Mllama.cpp › Epoch AI — internal evaluationsMathArena ArXivMath / BrokenArXiv / ArXivLean model-output datasetszai-org/GLM-5.2 model card
44A.X K2 (688B-A33B) SK Telecom69±5*†local~1454GB262khow to run › A.X K2 Technical Report (SK Telecom), arXiv 2608.30181v1
47DeepSeek V4 Flash (Preview, Apr 2026) DeepSeek69±1local~103GBllama.cpp › MathArena ArXivMath / BrokenArXiv / ArXivLean model-output datasetsai-sage/GigaChat3.5-432B-A28B-Reasoning model cardSolar Open 2 Technical Report (Upstage, arXiv:2607.20062v2)NVIDIA — Nemotron 3 Ultra technical report
49GLM-5.3-Flash Z.ai69±1local~103GB1Mllama.cpp › Epoch AI — internal evaluations
54Kimi K2.7 Code Moonshot AI68±1local~359GB262kllama.cpp › Epoch AI — internal evaluations
55INTELLECT-3 Prime Intellect67±2†local~48GBllama.cpp › Prime Intellect INTELLECT-3 model card: Evaluation table (Environments Hub runs)
57Inkling Small (266B-A12B) Thinking Machines67±1local~86GB1Mllama.cpp › Epoch AI — internal evaluationsthinkingmachines/Inkling-Small model card
58GLM-4.7 Z.ai67±2local~58GB205kllama.cpp › zai-org/GLM-4.7 model cardGLM-5 Team (Zhipu AI) — GLM-5 technical reportEpoch AI — internal evaluationsFormalProofBench (Vals AI, arXiv:2603.26996v1)
60LongCat 2.0 (1.6T-A48B) Meituan67±6*†local~2155GB1Mhow to run › meituan-longcat/LongCat-2.0 model card
61DeepSeek V4 Pro (Preview, Apr 2026) DeepSeek67±1local~604GBllama.cpp › Epoch AI — internal evaluationsMathArena ArXivMath / BrokenArXiv / ArXivLean model-output datasetsNVIDIA — Nemotron 3 Ultra technical reportLGAI-EXAONE/K-EXAONE-2.0-750B-A37B model card
62Solar Open 2 (250B-A15B) Upstage67±3*†local~527GB1Mhow to run › Solar Open 2 Technical Report (Upstage, arXiv:2607.20062v2)
66Qwen3-Coder-Next (80B-A3B) Alibaba66±5*local~27GB262kllama.cpp › Vector Institute Evaluation Leaderboard (Inspect Evals runs)
70Qwen3 235B-A22B Thinking 2507 Alibaba66±1local~76GB131kllama.cpp › Meituan LongCat-Flash-Thinking model card (evaluation table)Qwen3-VL-235B-A22B-Thinking model cardQwen/Qwen3-Next-80B-A3B-Thinking model cardEpoch AI — internal evaluationsQwen/Qwen3-235B-A22B-Thinking-2507 model card
71EXAONE 4.5 33B LG AI Research65±4*†local~24GB262kllama.cpp › LG AI Research vendor-reported benchmark scores for its own EXAONE models (Hugging Face model cards)
72Kimi K2.5 Moonshot AI65±2local~160GB262kllama.cpp › MathArena ArXivMath / BrokenArXiv / ArXivLean model-output datasetsEpoch AI — internal evaluationsQwen/Qwen3.5-397B-A17B model card
73GLM-5 Z.ai65±1local~119GB205kllama.cpp › MathArena ArXivMath / BrokenArXiv / ArXivLean model-output datasetsGLM-5 Team (Zhipu AI) — GLM-5 technical reportzai-org/GLM-5.1 model cardEpoch AI — internal evaluations
74Granite 4.2 30B IBM65±3*†local~19GB131kLM Studio › ibm-granite/granite-4.2-30b model card
75DeepSeek V3.2 Exp DeepSeek65±2local~726GBhow to run › Prime Intellect INTELLECT-3 model card: Evaluation table (Environments Hub runs)
77GLM-5.1 Z.ai65±1local~119GB200kllama.cpp › Epoch AI — internal evaluationsMathArena ArXivMath / BrokenArXiv / ArXivLean model-output datasetszai-org/GLM-5.2 model cardzai-org/GLM-5.1 model cardNVIDIA — Nemotron 3 Ultra technical reportA.X K2 Technical Report (SK Telecom), arXiv 2608.30181v1
80DeepSeek V3.2 DeepSeek65±2local~110GB128kllama.cpp › MathArena ArXivMath / BrokenArXiv / ArXivLean model-output datasetsdeepseek-ai/DeepSeek-V3.2 model cardEpoch AI — internal evaluationsMathNet: a Global Multimodal Benchmark for Mathematical Reasoning and Retrieval — authors' own model runsFormalProofBench (Vals AI, arXiv:2603.26996v1)
81Qwen3.5 122B-A10B Alibaba64±2†local~75GB262kLM Studio › Qwen/Qwen3.5-122B-A10B model cardQwen/Qwen3.5-27B model card
82Step 3.5 Flash (196B-A11B) StepFun64±1local~118GB256kLM Studio › MathArena ArXivMath / BrokenArXiv / ArXivLean model-output datasetsstepfun-ai/Step-3.5-Flash model card
84Qwen3.6 27B Alibaba64±1local~18GB262kLM Studio › Epoch AI — internal evaluationsQwen/Qwen3.6-27B model card
88Qwen3.5 397B-A17B Alibaba64±1local~65GB262kllama.cpp › Epoch AI — internal evaluationsQwen/Qwen3.5-397B-A17B model cardMathArena ArXivMath / BrokenArXiv / ArXivLean model-output datasetsNVIDIA — Nemotron 3 Ultra technical reportQwen/Qwen3.6-27B model cardLGAI-EXAONE/K-EXAONE-2.0-750B-A37B model card+1
89MiMo-V2-Flash (309B-A15B) Xiaomi64±2local~108GBllama.cpp › stepfun-ai/Step-3.5-Flash model card
91GLM-4.6 Z.ai64±2†local~58GB205kllama.cpp › zai-org/GLM-4.7 model cardzai-org/GLM-4.6 model card
92Spark-X2.5 4B iFLYTEK (SparkLLM)64±2†local~3.9GB1MLM Studio › XHToken/Spark-X2.5-4B model card
93GigaChat 3.5 Ultra Reasoning (432B-A28B) Sber64±2†local~461GB262khow to run › ai-sage/GigaChat3.5-432B-A28B-Reasoning model card
94Inkling (975B-A41B) Thinking Machines64±1local~156GB1Mllama.cpp › Epoch AI — internal evaluationsthinkingmachines/Inkling-Small model card
96Qwen3 235B-A22B Instruct 2507 Alibaba63±1local~76GB262kllama.cpp › Meituan LongCat-Flash-Chat model card (evaluation table)Qwen/Qwen3-Next-80B-A3B-Instruct model cardQwen3-VL-235B-A22B-Instruct model cardQwen/Qwen3-235B-A22B-Instruct-2507 model card
97DeepSeek V3.1 DeepSeek63±1local~110GB131kllama.cpp › Meituan LongCat-Flash-Thinking model card (evaluation table)deepseek-ai/DeepSeek-V3.1 model cardMeituan LongCat-Flash-Chat model card (evaluation table)
98GLM-4.5-Air Z.ai63±2local~35GB131kllama.cpp › Prime Intellect INTELLECT-3 model card: Evaluation table (Environments Hub runs)GLM-4.5 Team (Zhipu AI & Tsinghua) — GLM-4.5 technical report
99Qwen3.5 27B Alibaba63±1local~18GB262kLM Studio › MathArena ArXivMath / BrokenArXiv / ArXivLean model-output datasetsQwen/Qwen3.5-122B-A10B model cardQwen/Qwen3.6-27B model cardQwen/Qwen3.6-35B-A3B model cardQwen/Qwen3.5-27B model card
101Nemotron Cascade 2 30B-A3B NVIDIA63±2†local~20GB256kLM Studio › NVIDIA — Nemotron-Cascade 2 technical report
102K-EXAONE (236B-A23B) LG AI Research63±2†local~152GB262kllama.cpp › LGAI-EXAONE/K-EXAONE-2.0-750B-A37B model cardLG AI Research vendor-reported benchmark scores for its own EXAONE models (Hugging Face model cards)
104Gemma 4 26B-A4B Google63±2local~18GB262kLM Studio › Epoch AI — internal evaluationsgoogle/diffusiongemma-26B-A4B-it model cardGemma Team — Gemma 4 Technical Report
105Qwen3-Next 80B-A3B Instruct Alibaba63±3†local~27GB131kllama.cpp › Qwen/Qwen3-Next-80B-A3B-Instruct model card
106DeepSeek R1 0528 DeepSeek63±1local~110GB164kllama.cpp › Epoch AI — internal evaluationsPrime Intellect INTELLECT-3 model card: Evaluation table (Environments Hub runs)deepseek-ai/DeepSeek-R1-0528 model carddeepseek-ai/DeepSeek-V3.1 model carddeepseek-ai/DeepSeek-R1-0528-Qwen3-8B model card
107Kimi K2 Thinking Moonshot AI63±3*local~160GB262kllama.cpp › Epoch AI — internal evaluationsstepfun-ai/Step-3.5-Flash model card
108Step 3.7 Flash (198B-A11B) StepFun63±1local~104GB256kllama.cpp › MathArena ArXivMath / BrokenArXiv / ArXivLean model-output datasets
110gpt-oss-120b OpenAI62±1local~67GB131kllama.cpp › Prime Intellect INTELLECT-3 model card: Evaluation table (Environments Hub runs)OpenAI — gpt-oss-120b & gpt-oss-20b Model CardEpoch AI — internal evaluationsMathConstraint: Automated Generation of Verified Combinatorial Reasoning Instances for LLMs — authors' own model runs
111Command A+ (05-2026) Cohere62±2local~71GB128kllama.cpp › Solar Open 2 Technical Report (Upstage, arXiv:2607.20062v2)Cohere vendor-reported benchmark scores for its own models (cohere.com blog)
112Qwen3-VL 32B Thinking Alibaba62±2local~22GB256kLM Studio › Qwen (Alibaba) vendor-reported benchmark scores for its own models (qwen.ai launch posts, Qwen2.5-VL and Qwen3-VL technical reports, Qwen3.8-Flash-Next card)allenai/Olmo-3.1-32B-Think model card
115Nemotron 3 Ultra 550B-A55B NVIDIA62±2local~89GB1Mllama.cpp › Epoch AI — internal evaluationsNVIDIA — Nemotron 3 Ultra technical reportA.X K2 Technical Report (SK Telecom), arXiv 2608.30181v1
116K-EXAONE 2.0 (750B-A37B) LG AI Research62±2†local~791GB262khow to run › LGAI-EXAONE/K-EXAONE-2.0-750B-A37B model card
117Nemotron-Labs-3 Puzzle 75B-A9B NVIDIA62±3*†local~35GBllama.cpp › NVIDIA vendor-reported benchmark scores for its own Nemotron models (Hugging Face model cards)
118GLM-4.5 Z.ai62±1local~58GB131kllama.cpp › Meituan LongCat-Flash-Thinking model card (evaluation table)Prime Intellect INTELLECT-3 model card: Evaluation table (Environments Hub runs)GLM-4.5 Team (Zhipu AI & Tsinghua) — GLM-4.5 technical reportzai-org/GLM-4.6 model card
119Qwen3-VL 235B-A22B Instruct Alibaba62±2†local~134GB256kLM Studio › Qwen3-VL-235B-A22B-Instruct model cardQwen (Alibaba) vendor-reported benchmark scores for its own models (qwen.ai launch posts, Qwen2.5-VL and Qwen3-VL technical reports, Qwen3.8-Flash-Next card)
120Olmo 3.1 32B Think Ai262±2†local~21GB66kLM Studio › Olmo 3allenai/Olmo-3.1-32B-Think model card
123Gemma 4 31B Google61±2local~21GB262kLM Studio › Epoch AI — internal evaluationsGemma Team — Gemma 4 Technical Report
124Qwen3-VL 235B-A22B Thinking Alibaba61±2†local~111GB256kLM Studio › Qwen3-VL-235B-A22B-Thinking model cardQwen/Qwen3.5-397B-A17B model card
125Nemotron 3 Super 120B-A12B NVIDIA61±1local~73GB262kLM Studio › NVIDIA — Nemotron-Cascade 2 technical reportMathArena ArXivMath / BrokenArXiv / ArXivLean model-output datasetsNVIDIA vendor-reported benchmark scores for its own Nemotron models (Hugging Face model cards)
128Nemotron-Cascade-14B-Thinking NVIDIA61±2*†local~10GBLM Studio › NVIDIA — Nemotron-Cascade: Scaling Cascaded Reinforcement Learning for General-Purpose Reasoning Models
129A.X K1 (519B-A33B) SK Telecom61±4*†local~1091GBhow to run › A.X K2 Technical Report (SK Telecom), arXiv 2608.30181v1
130Granite 4.2 8B IBM61±3*†local~6.6GB131kLM Studio › ibm-granite/granite-4.2-30b model card
131Falcon-H1R 7B TII61±2†local~6GB262kLM Studio › Falcon-H1R: Pushing the Reasoning Frontiers with a Hybrid Model for Efficient Test-Time Scaling
132Qwen3-Next 80B-A3B Thinking Alibaba61±2†local~27GB131kllama.cpp › Qwen/Qwen3-Next-80B-A3B-Thinking model cardQwen/Qwen3.5-9B model card
133Qwen3-VL 30B-A3B Thinking Alibaba61±3*†local~21GB256kLM Studio › Qwen (Alibaba) vendor-reported benchmark scores for its own models (qwen.ai launch posts, Qwen2.5-VL and Qwen3-VL technical reports, Qwen3.8-Flash-Next card)
134Qwen3.5 35B-A3B Alibaba61±1local~23GB262kLM Studio › NVIDIA — Nemotron-Cascade 2 technical reportQwen/Qwen3.5-122B-A10B model cardMathArena ArXivMath / BrokenArXiv / ArXivLean model-output datasetsQwen/Qwen3.6-35B-A3B model cardEpoch AI — internal evaluationsQwen/Qwen3.5-27B model card
135Qwen3.6 35B-A3B Alibaba61±1local~23GB262kLM Studio › Epoch AI — internal evaluationsMathArena ArXivMath / BrokenArXiv / ArXivLean model-output datasetsQwen/Qwen3.6-27B model cardQwen/Qwen3.6-35B-A3B model card
136LongCat-Flash-Chat (560B-A27B) Meituan61±2†local~333GB128kLM Studio › Meituan LongCat-Flash-Chat model card (evaluation table)
139Nemotron-Cascade-8B NVIDIA60±2*†local~6.3GBLM Studio › NVIDIA — Nemotron-Cascade: Scaling Cascaded Reinforcement Learning for General-Purpose Reasoning Models
141Kimi K2 Instruct (0711) Moonshot AI60±2*local~160GB131kllama.cpp › Meituan LongCat-Flash-Chat model card (evaluation table)
143Olmo 3 32B Think Ai260±1†local~21GB66kLM Studio › Olmo 3allenai/Olmo-3.1-32B-Think model card
146gpt-oss-20b OpenAI60±1local~14GB131kllama.cpp › Falcon-H1R: Pushing the Reasoning Frontiers with a Hybrid Model for Efficient Test-Time ScalingByteDance-Seed/Seed-OSS-36B-Instruct model cardEpoch AI — internal evaluationsOpenAI — gpt-oss-120b & gpt-oss-20b Model Card
147MiniCPM5 2B OpenBMB60±2†local~3GB131kLM Studio › openbmb/MiniCPM5-2B model card
148MiniMax-M3 MiniMax60±2*local~137GB1Mllama.cpp › Epoch AI — internal evaluations
149Seed-OSS 36B Instruct ByteDance Seed60±2local~23GB524kLM Studio › ByteDance-Seed/Seed-OSS-36B-Instruct model cardEpoch AI — internal evaluations
150Qwen3 30B-A3B Instruct 2507 Alibaba59±1local~20GB262kLM Studio › Qwen/Qwen3-30B-A3B-Instruct-2507 model cardEpoch AI — internal evaluationsQwen/Qwen3-Next-80B-A3B-Instruct model card
153Nemotron 3 Nano 30B-A3B NVIDIA59±2†local~20GB262kLM Studio › NVIDIA — Nemotron-Cascade 2 technical report
155Qwen3.5 9B Alibaba59±1local~7.4GB262kllama.cpp › XHToken/Spark-X2.5-4B model cardMathArena ArXivMath / BrokenArXiv / ArXivLean model-output datasetsQwen/Qwen3.5-9B model cardEpoch AI — internal evaluationsLiquidAI/LFM2.5-2.6B model cardQwen/Qwen3.5-4B model card
156Qwen3 14B Alibaba59±2*local~10GB33kLM Studio › Epoch AI — internal evaluations
157QwQ-32B Alibaba58±2local~21GB131kLM Studio › Epoch AI — internal evaluations2 OLMo 2 Furious (Team OLMo, Ai2) — authors' own evaluations of OLMo 2 Instruct and peer instruct models
158Qwen3-VL 8B Thinking Alibaba58±2local~6.8GB256kllama.cpp › Qwen (Alibaba) vendor-reported benchmark scores for its own models (qwen.ai launch posts, Qwen2.5-VL and Qwen3-VL technical reports, Qwen3.8-Flash-Next card)allenai/Olmo-3-7B-Think model card
160Qwen3.5 4B Alibaba58±1local~4.3GB262kllama.cpp › openbmb/MiniCPM5-2B model cardXHToken/Spark-X2.5-4B model cardQwen/Qwen3.5-9B model cardEpoch AI — internal evaluationsLiquidAI/LFM2.5-2.6B model cardQwen/Qwen3.5-4B model card
161DeepSeek R1 (Jan '25) DeepSeek58±1local~110GB128kllama.cpp › Epoch AI — internal evaluationsdeepseek-ai/DeepSeek-R1 model carddeepseek-ai/DeepSeek-R1-0528-Qwen3-8B model carddeepseek-ai/DeepSeek-R1-0528 model cardMicrosoft — Phi-4-reasoning Technical ReportVector Institute Evaluation Leaderboard (Inspect Evals runs)
162EXAONE 4.0 32B LG AI Research58±2†local~20GB131kLM Studio › LG AI Research vendor-reported benchmark scores for its own EXAONE models (Hugging Face model cards)
163Granite 4.2 3B IBM58±1local~3.7GB131kLM Studio › openbmb/MiniCPM5-2B model cardibm-granite/granite-4.2-30b model card
164DeepSeek R1 0528 Qwen3 8B DeepSeek58±1local~6.3GB128kLM Studio › Falcon-H1R: Pushing the Reasoning Frontiers with a Hybrid Model for Efficient Test-Time ScalingEpoch AI — internal evaluationsdeepseek-ai/DeepSeek-R1-0528-Qwen3-8B model card
165Qwen3-VL 4B Thinking Alibaba57±2*†local~4.1GB256kllama.cpp › Qwen (Alibaba) vendor-reported benchmark scores for its own models (qwen.ai launch posts, Qwen2.5-VL and Qwen3-VL technical reports, Qwen3.8-Flash-Next card)
166Qwen3 30B-A3B Thinking 2507 Alibaba57±1local~20GB262kLM Studio › ByteDance-Seed/Seed-OSS-36B-Instruct model cardMathArena ArXivMath / BrokenArXiv / ArXivLean model-output datasetsEpoch AI — internal evaluationsQwen/Qwen3-30B-A3B-Thinking-2507 model cardQwen/Qwen3-Next-80B-A3B-Thinking model cardQwen/Qwen3.5-9B model card
169Olmo 3 7B Think Ai257±1†local~5.8GB66kLM Studio › Olmo 3allenai/Olmo-3-7B-Think model card
171Phi-4-reasoning-plus 14B Microsoft57±1local~10GBLM Studio › Falcon-H1R: Pushing the Reasoning Frontiers with a Hybrid Model for Efficient Test-Time ScalingMicrosoft — Phi-4-reasoning Technical Reportmicrosoft/Phi-4-reasoning model card
172Qwen3-VL 32B Instruct Alibaba57±2*†local~22GB256kLM Studio › Qwen (Alibaba) vendor-reported benchmark scores for its own models (qwen.ai launch posts, Qwen2.5-VL and Qwen3-VL technical reports, Qwen3.8-Flash-Next card)
173GLM-4.7-Flash Z.ai57±2*local~19GB200kLM Studio › Epoch AI — internal evaluations
174Gemma 4 12B Google57±2local~8.5GB262kLM Studio › XHToken/Spark-X2.5-4B model cardGemma Team — Gemma 4 Technical Report
176MiMo-V2.5 (310B-A15B) Xiaomi57±2*local~100GB1Mllama.cpp › Solar Open 2 Technical Report (Upstage, arXiv:2607.20062v2)
177Nemotron Nano 9B v2 NVIDIA57±1local~7.6GB131kllama.cpp › Olmo 3NVIDIA — Nemotron-Cascade: Scaling Cascaded Reinforcement Learning for General-Purpose Reasoning Modelsallenai/Olmo-3-7B-Think model cardNVIDIA vendor-reported benchmark scores for its own Nemotron models (Hugging Face model cards)
179Qwen3-VL 30B-A3B Instruct Alibaba56±2*†local~21GB256kLM Studio › Qwen (Alibaba) vendor-reported benchmark scores for its own models (qwen.ai launch posts, Qwen2.5-VL and Qwen3-VL technical reports, Qwen3.8-Flash-Next card)
180MiniMax-M2.7 MiniMax56±2*local~75GB205kllama.cpp › NVIDIA — Nemotron 3 Ultra technical reportA.X K2 Technical Report (SK Telecom), arXiv 2608.30181v1
181DeepSeek R1 Distill Llama 70B DeepSeek56±1local~30GB131kllama.cpp › Epoch AI — internal evaluationsdeepseek-ai/DeepSeek-R1 model cardMicrosoft — Phi-4-reasoning Technical Report
184OpenThinker3 7B Open Thoughts56±1local~6GB33kLM Studio › Olmo 3allenai/Olmo-3-7B-Think model card
185OpenThinker2 32B Open Thoughts56±2†local~21GB33kLM Studio › open-thoughts/OpenThinker2-32B model card
186Qwen3 32B Alibaba56±1local~20GB131kLM Studio › Falcon-H1R: Pushing the Reasoning Frontiers with a Hybrid Model for Efficient Test-Time ScalingByteDance-Seed/Seed-OSS-36B-Instruct model cardEpoch AI — internal evaluationsQwen/Qwen3-Next-80B-A3B-Thinking model cardallenai/Olmo-3.1-32B-Think model cardQwen/Qwen3-Next-80B-A3B-Instruct model card
187Qwen3 8B Alibaba55±1local~6.1GB33kLM Studio › Falcon-H1R: Pushing the Reasoning Frontiers with a Hybrid Model for Efficient Test-Time Scalingallenai/Olmo-3-7B-Think model cardEpoch AI — internal evaluationsQwen (Alibaba) vendor-reported benchmark scores for its own models (qwen.ai launch posts, Qwen2.5-VL and Qwen3-VL technical reports, Qwen3.8-Flash-Next card)allenai/Olmo-3-7B-Instruct model card
188DeepSeek R1 Distill Qwen 32B DeepSeek55±1local~21GB131kLM Studio › deepseek-ai/DeepSeek-R1 model cardopen-thoughts/OpenThinker2-32B model cardEpoch AI — internal evaluationsallenai/Olmo-3.1-32B-Think model cardopen-thoughts/OpenThinker-32B model cardTHINK-Bench: Evaluating Thinking Efficiency and Chain-of-Thought Quality of Large Reasoning Models (arXiv:2505.22113v1)
189DeepSeek R1 Distill Qwen 14B DeepSeek55±1local~10GB131kLM Studio › Epoch AI — internal evaluationsdeepseek-ai/DeepSeek-R1 model cardTHINK-Bench: Evaluating Thinking Efficiency and Chain-of-Thought Quality of Large Reasoning Models (arXiv:2505.22113v1)
190Phi-4-reasoning 14B Microsoft55±2†local~10GB33kLM Studio › Microsoft — Phi-4-reasoning Technical Reportmicrosoft/Phi-4-reasoning model card
192Mistral Medium 3.5 (128B) Mistral55±2*local~42GB262kllama.cpp › Solar Open 2 Technical Report (Upstage, arXiv:2607.20062v2)
194Solar Open 100B (102B-A12B) Upstage55±2*†local~41GB131kllama.cpp › Solar Open 2 Technical Report (Upstage, arXiv:2607.20062v2)
196Qwen3 4B Instruct 2507 Alibaba54±1local~3.9GB262kLM Studio › Marco-MoE: Open Multilingual Mixture-of-Expert Language Models with Efficient UpcyclingEpoch AI — internal evaluationsQwen/Qwen3-4B-Instruct-2507 model cardQwen (Alibaba) vendor-reported benchmark scores for its own models (qwen.ai launch posts, Qwen2.5-VL and Qwen3-VL technical reports, Qwen3.8-Flash-Next card)
197Phi-4-mini-reasoning 3.8B Microsoft54±2*†local~3.8GB128kLM Studio › microsoft/Phi-4-mini-reasoning model card
198Magistral Small 1.2 Mistral54±1local~16GB131kLM Studio › mistralai/Magistral-Small-2509 model cardEpoch AI — internal evaluations
201OpenThinker 32B Open Thoughts53±1†local~21GB33kLM Studio › open-thoughts/OpenThinker2-32B model cardopen-thoughts/OpenThinker-32B model card
202Qwen3 4B Thinking 2507 Alibaba53±2local~3.9GB262kLM Studio › Qwen/Qwen3-4B-Thinking-2507 model cardMathArena ArXivMath / BrokenArXiv / ArXivLean model-output datasets
206QED-Nano LM Provers52±2local~4.1GB262kllama.cpp › MathArena ArXivMath / BrokenArXiv / ArXivLean model-output datasets
207Qwen3-VL 8B Instruct Alibaba52±2local~6.8GB256kllama.cpp › Qwen (Alibaba) vendor-reported benchmark scores for its own models (qwen.ai launch posts, Qwen2.5-VL and Qwen3-VL technical reports, Qwen3.8-Flash-Next card)allenai/Olmo-3-7B-Instruct model card
210DeepSeek R1 Distill Qwen 7B DeepSeek52±1local~6GB131kLM Studio › deepseek-ai/DeepSeek-R1 model cardopen-thoughts/OpenThinker2-7B model cardallenai/Olmo-3-7B-Think model cardmicrosoft/Phi-4-mini-reasoning model cardMicrosoft — Phi-4-Mini Technical Reportopen-thoughts/OpenThinker-7B model card+1
211EXAONE Deep 32B LG AI Research52±2†local~22GB33kOllama › LG AI Research vendor-reported benchmark scores for its own EXAONE models (Hugging Face model cards)
212Nemotron 3 Nano 4B NVIDIA51±1local~3.8GB262kLM Studio › openbmb/MiniCPM5-2B model cardNVIDIA vendor-reported benchmark scores for its own Nemotron models (Hugging Face model cards)
213s1.1 32B Simple Scaling51±1local~22GB33kLM Studio › open-thoughts/OpenThinker2-32B model cardopen-thoughts/OpenThinker-32B model card
214Spark-X2.5 1.7B iFLYTEK (SparkLLM)51±2†local~2.7GB1Mllama.cpp › XHToken/Spark-X2.5-4B model card
215DeepSeek V3 0324 DeepSeek51±1local~108GB164kllama.cpp › Epoch AI — internal evaluationsdeepseek-ai/DeepSeek-V3.1 model card
217Qwen3 30B-A3B (Apr 2025, hybrid) Alibaba50±1local~19GB33kLM Studio › Qwen/Qwen3-4B-Thinking-2507 model cardQwen/Qwen3-30B-A3B-Thinking-2507 model cardQwen/Qwen3-30B-A3B-Instruct-2507 model cardQwen/Qwen3-4B-Instruct-2507 model cardEpoch AI — internal evaluations
218Qwen2.5-VL 72B Instruct Alibaba50±4*†local~46GB33kLM Studio › Qwen (Alibaba) vendor-reported benchmark scores for its own models (qwen.ai launch posts, Qwen2.5-VL and Qwen3-VL technical reports, Qwen3.8-Flash-Next card)
219EXAONE Deep 7.8B LG AI Research50±2†local~6.5GB33kllama.cpp › LG AI Research vendor-reported benchmark scores for its own EXAONE models (Hugging Face model cards)
220OpenThinker2 7B Open Thoughts50±2†local~6.4GB33kllama.cpp › open-thoughts/OpenThinker2-7B model card
221Llama 4 Maverick (402B-A17B) Meta50±1local~65GB1Mllama.cpp › Epoch AI — internal evaluationsMathNet: a Global Multimodal Benchmark for Mathematical Reasoning and Retrieval — authors' own model runs
222Gemma 3 27B Google50±1local~18GB131kLM Studio › Epoch AI — internal evaluationsallenai/Olmo-3.1-32B-Think model cardGoogle DeepMind Gemma 3 270M IT model card2 OLMo 2 Furious (Team OLMo, Ai2) — authors' own evaluations of OLMo 2 Instruct and peer instruct modelsGemma Team — Gemma 4 Technical Report
223Ministral 3 14B Mistral50±3*†local~9.1GB262kLM Studio › mistralai/Ministral-3-8B-Instruct-2512 model cardmistralai/Ministral-3-14B-Instruct-2512 model card
224Magistral Small 1.0 (2506) Mistral50±1local~16GB128kLM Studio › mistralai/Magistral-Small-2509 model cardEpoch AI — internal evaluations
225Mistral Small 3.2 24B Mistral50±2*local~16GB128kLM Studio › Epoch AI — internal evaluationsmistralai/Mistral-Small-3.2-24B-Instruct-2506 model card
228Olmo 3 7B Instruct Ai249±1†local~5.8GB66kLM Studio › Olmo 3allenai/Olmo-3-7B-Instruct model card
229MiniMax-M2.1 MiniMax49±2local~79GBllama.cpp › stepfun-ai/Step-3.5-Flash model card
230Qwen3 235B-A22B (Apr 2025, hybrid) Alibaba49±1local~76GB131kllama.cpp › Epoch AI — internal evaluationsQwen/Qwen3-30B-A3B-Thinking-2507 model cardQwen/Qwen3-30B-A3B-Instruct-2507 model cardQwen/Qwen3-235B-A22B-Thinking-2507 model cardQwen/Qwen3-235B-A22B-Instruct-2507 model cardTHINK-Bench: Evaluating Thinking Efficiency and Chain-of-Thought Quality of Large Reasoning Models (arXiv:2505.22113v1)
231Gemma 3 12B Google49±1local~9.1GB131kLM Studio › Marco-MoE: Open Multilingual Mixture-of-Expert Language Models with Efficient UpcyclingEpoch AI — internal evaluationsGoogle DeepMind Gemma 3 270M IT model card
232DeepSeek R1 Distill Llama 8B DeepSeek49±1local~6.2GB131kLM Studio › deepseek-ai/DeepSeek-R1 model cardmicrosoft/Phi-4-mini-reasoning model cardMicrosoft — Phi-4-Mini Technical Report
233Magistral Small 1.1 (2507) Mistral49±2*†local~16GB40kLM Studio › mistralai/Magistral-Small-2509 model card
235Qwen3-VL 4B Instruct Alibaba49±2*†local~4.1GB256kllama.cpp › Qwen (Alibaba) vendor-reported benchmark scores for its own models (qwen.ai launch posts, Qwen2.5-VL and Qwen3-VL technical reports, Qwen3.8-Flash-Next card)
236GigaChat 3.5 Ultra Instruct (432B-A28B) Sber49±2†local~457GB262khow to run › ai-sage/GigaChat3.5-432B-A28B-Reasoning model card
238Command A Reasoning (08-2025) Cohere49±4*†local~34GBllama.cpp › Cohere vendor-reported benchmark scores for its own models (cohere.com blog)
239LFM2.5 1.2B Thinking Liquid AI49±3†local~2.2GB33kLM Studio › LiquidAI/LFM2.5-1.2B-Thinking model card
240Ministral 3 8B Mistral48±2local~6.5GB262kLM Studio › Marco-MoE: Open Multilingual Mixture-of-Expert Language Models with Efficient Upcyclingmistralai/Ministral-3-8B-Instruct-2512 model cardmistralai/Ministral-3-14B-Instruct-2512 model card
242LFM2.5 8B-A1B Liquid AI48±1local~6.5GB128kLM Studio › openbmb/MiniCPM5-2B model cardLiquidAI/LFM2.5-8B-A1B model card
243Qwen2.5-Math 72B Instruct Alibaba48±2†local~44GB4kLM Studio › Qwen (Alibaba) vendor-reported benchmark scores for its own models (qwen.ai launch posts, Qwen2.5-VL and Qwen3-VL technical reports, Qwen3.8-Flash-Next card)
244Qwen3 4B Alibaba48±1local~3.7GB33kLM Studio › Qwen/Qwen3-4B-Thinking-2507 model cardQwen/Qwen3-4B-Instruct-2507 model cardLFM2 Technical Report — Liquid AI own SmolLM3 evaluationHuggingFaceTB/SmolLM3-3B model card (Evaluation section)
245LFM2 24B-A2B Liquid AI48±2local~16GB33kLM Studio › Marco-MoE: Open Multilingual Mixture-of-Expert Language Models with Efficient Upcycling
247Pixtral Large (2411) Mistral48±7*†local~51GBllama.cpp › Mistral AI vendor-reported benchmark scores for its own models (Hugging Face model cards)
248DeepSeek V3 (Dec '24) DeepSeek48±1local~337GB131kllama.cpp › Epoch AI — internal evaluationsdeepseek-ai/DeepSeek-R1 model card
249Phi-4 14B Microsoft48±1local~10GB16kLM Studio › Epoch AI — internal evaluationsmicrosoft/phi-4 model cardMicrosoft Research — Phi-4 Technical Report
251Qwen3-VL 2B Thinking Alibaba48±2*†local~2.7GB256kllama.cpp › Qwen (Alibaba) vendor-reported benchmark scores for its own models (qwen.ai launch posts, Qwen2.5-VL and Qwen3-VL technical reports, Qwen3.8-Flash-Next card)
254Qwen2.5 72B Instruct Alibaba47±1local~30GB33kllama.cpp › Epoch AI — internal evaluationsWildEval ZeroEval published results2 OLMo 2 Furious (Team OLMo, Ai2) — authors' own evaluations of OLMo 2 Instruct and peer instruct modelsMicrosoft Research — Phi-4 Technical Report
255Llama 4 Scout (109B-A17B) Meta47±1*local~36GB328kllama.cpp › Epoch AI — internal evaluations
257Qwen2-Math 72B Instruct Alibaba47±2†local~32GB4kllama.cpp › Qwen (Alibaba) vendor-reported benchmark scores for its own models (qwen.ai launch posts, Qwen2.5-VL and Qwen3-VL technical reports, Qwen3.8-Flash-Next card)
258Granite 4.0 H Small (32B-A9B) IBM47±1local~21GB131kLM Studio › Marco-MoE: Open Multilingual Mixture-of-Expert Language Models with Efficient Upcyclingibm-granite/granite-4.0-h-small model card
259DeepSeek-V2.5 (1210) DeepSeek47±4*†local~82GBllama.cpp › DeepSeek vendor-reported benchmark scores for its own models (Hugging Face model cards)
261Tulu 2 70B Allen Institute for AI46±5*†local~28GBllama.cpp › Tulu 2 — base and instruction-tuned evaluations
262OpenThinker 7B Open Thoughts46±2†local~6GB33kLM Studio › open-thoughts/OpenThinker2-7B model cardopen-thoughts/OpenThinker-7B model card
264EXAONE Deep 2.4B LG AI Research46±2†local~3.2GB33kOllama › LG AI Research vendor-reported benchmark scores for its own EXAONE models (Hugging Face model cards)
265Qwen2.5-Math 7B Instruct Alibaba46±2†local~6GB4kLM Studio › Qwen (Alibaba) vendor-reported benchmark scores for its own models (qwen.ai launch posts, Qwen2.5-VL and Qwen3-VL technical reports, Qwen3.8-Flash-Next card)
266Qwen2.5 32B Instruct Alibaba46±1local~21GB131kLM Studio › Epoch AI — internal evaluationsWildEval ZeroEval published resultsallenai/Olmo-3.1-32B-Think model card2 OLMo 2 Furious (Team OLMo, Ai2) — authors' own evaluations of OLMo 2 Instruct and peer instruct models
267Llama 3.1 Nemotron 51B Instruct NVIDIA46±5*†local~34GBllama.cpp › Puzzle: Distillation-Based NAS for Inference-Optimized LLMs (arXiv:2411.19146v5)
268LFM2.5 2.6B Liquid AI46±1local~3.2GB131kLM Studio › openbmb/MiniCPM5-2B model cardLiquidAI/LFM2.5-2.6B model card
271Tulu 2 DPO 70B Ai245±5*†local~32GBllama.cpp › Tulu 2 — base and instruction-tuned evaluations
273Qwen2.5 14B Instruct Alibaba45±2local~10GB131kLM Studio › 2 OLMo 2 Furious (Team OLMo, Ai2) — authors' own evaluations of OLMo 2 Instruct and peer instruct modelsmicrosoft/phi-4 model cardMicrosoft Research — Phi-4 Technical Report
274Granite 4.0 H Tiny (7B-A1B) IBM45±2†local~5.6GB131kLM Studio › ibm-granite/granite-4.0-h-small model card
275DeepSeek R1 Distill Qwen 1.5B DeepSeek45±1local~2.6GB131kLM Studio › deepseek-ai/DeepSeek-R1 model cardEpoch AI — internal evaluationsTHINK-Bench: Evaluating Thinking Efficiency and Chain-of-Thought Quality of Large Reasoning Models (arXiv:2505.22113v1)
281Llama 3.1 Tulu 3 70B Ai245±3*†local~43GB131kLM Studio › Tülu 3: Pushing Frontiers in Open Language Model Post-Training (Lambert et al., Ai2)
282Qwen2.5-VL 7B Instruct Alibaba45±3*†local~6.4GBllama.cpp › Qwen (Alibaba) vendor-reported benchmark scores for its own models (qwen.ai launch posts, Qwen2.5-VL and Qwen3-VL technical reports, Qwen3.8-Flash-Next card)
283Command A (03-2025) Cohere44±3*†local~37GB256kllama.cpp › Cohere — Command A technical report
284Gemma 4 E4B Google44±1local~6.9GB131kLM Studio › openbmb/MiniCPM5-2B model cardXHToken/Spark-X2.5-4B model cardGemma Team — Gemma 4 Technical ReportLiquidAI/LFM2.5-2.6B model card
285Mistral Large 2 (2411) Mistral44±1*local~78GB128kllama.cpp › Epoch AI — internal evaluations
286Qwen2-VL 72B Instruct Alibaba44±3local~34GBllama.cpp › Qwen (Alibaba) vendor-reported benchmark scores for its own models (qwen.ai launch posts, Qwen2.5-VL and Qwen3-VL technical reports, Qwen3.8-Flash-Next card)Pixtral 12B (Mistral AI, arXiv 2410.07073v2)
287Llama 3.1 405B Instruct Meta44±1local~160GB128kllama.cpp › Epoch AI — internal evaluationsCohere — Command A technical reportWildEval ZeroEval published results
289Jamba 1.5 Large AI21 Labs44±4*†local~839GBhow to run › Jamba-1.5: Hybrid Transformer-Mamba Models at Scale (AI21, arXiv 2408.12570v1)
290Mixtral 8x7B v0.1 (base) Mistral AI44±2*†local~29GB32kllama.cpp › Mixtral of Experts — base-model evaluations
291EXAONE 4.0 1.2B LG AI Research44±2*†local~2.2GB66kLM Studio › LG AI Research vendor-reported benchmark scores for its own EXAONE models (Hugging Face model cards)
292Qwen2.5 7B Instruct Alibaba44±1local~6GB131kLM Studio › WildEval ZeroEval published resultsmicrosoft/Phi-4-mini-instruct model card2 OLMo 2 Furious (Team OLMo, Ai2) — authors' own evaluations of OLMo 2 Instruct and peer instruct modelsallenai/Olmo-3-7B-Instruct model cardEpoch AI — internal evaluations
293SmolLM3 3B Hugging Face44±2local~3.3GB66kLM Studio › LFM2 Technical Report — Liquid AI own SmolLM3 evaluationHuggingFaceTB/SmolLM3-3B model card (Evaluation section)
294Gemma 3 4B Google43±2local~3.8GB131kLM Studio › Google DeepMind Gemma 3 270M IT model cardLFM2 Technical Report — Liquid AI own SmolLM3 evaluationEpoch AI — internal evaluations
295Mistral Small 3.1 24B (2503) Mistral43±1local~17GB128kllama.cpp › Epoch AI — internal evaluationsmistralai/Mistral-Small-3.2-24B-Instruct-2506 model cardMistral AI vendor-reported benchmark scores for its own models (Hugging Face model cards)
297Granite 3.3 8B Instruct IBM43±1local~6.3GB128kLM Studio › ibm-granite/granite-3.3-8b-instruct model cardallenai/Olmo-3-7B-Instruct model card
299Mistral Large 2 (2407) Mistral43±1local~45GB128kllama.cpp › Epoch AI — internal evaluationsWildEval ZeroEval published resultsVector Institute Evaluation Leaderboard (Inspect Evals runs)Jamba-1.5: Hybrid Transformer-Mamba Models at Scale (AI21, arXiv 2408.12570v1)
300InternVL2-26B Shanghai AI Laboratory (OpenGVLab)43±7*†local~55GBhow to run › OpenGVLab InternVL2 model cards (InternVL2-4B and InternVL2-26B), Evaluation tables
301DeepSeek-V2 Chat (0628) DeepSeek43±3*local~66GBllama.cpp › WildEval ZeroEval published results
302InternVL2-4B Shanghai AI Laboratory (OpenGVLab)43±5*local~10GBhow to run › Microsoft Phi-3.5-vision-instruct model card: Benchmarks tableOpenGVLab InternVL2 model cards (InternVL2-4B and InternVL2-26B), Evaluation tables
303DeepSeek-Coder-V2 Instruct (0614) DeepSeek43±3*local~92GBllama.cpp › WildEval ZeroEval published results
304Xwin-LM 70B v0.1 Xwin-LM43±5*local~28GBllama.cpp › Tulu 2 — base and instruction-tuned evaluations
305Qwen3 1.7B Alibaba43±1local~2.6GB33kLM Studio › Marco-MoE: Open Multilingual Mixture-of-Expert Language Models with Efficient UpcyclingLiquidAI/LFM2.5-1.2B-Thinking model cardQwen (Alibaba) vendor-reported benchmark scores for its own models (qwen.ai launch posts, Qwen2.5-VL and Qwen3-VL technical reports, Qwen3.8-Flash-Next card)LiquidAI/LFM2-1.2B model cardQwen/Qwen3.5-2B model cardHuggingFaceTB/SmolLM3-3B model card (Evaluation section)+1
306Mistral Small 3 24B (2501) Mistral43±1*local~16GB32kLM Studio › Epoch AI — internal evaluations
307Granite 4.0 H Micro 3B IBM43±2†local~3.4GB131kLM Studio › ibm-granite/granite-4.0-h-small model card
308Llama 3.1 Tulu 3 70B DPO Ai243±1local~22GB131kllama.cpp › Epoch AI — internal evaluationsTülu 3: Pushing Frontiers in Open Language Model Post-Training (Lambert et al., Ai2)
309Llama 3.3 70B Instruct Meta42±1local~24GB128kllama.cpp › Epoch AI — internal evaluations2 OLMo 2 Furious (Team OLMo, Ai2) — authors' own evaluations of OLMo 2 Instruct and peer instruct modelsCohere — Command A technical reportMathConstraint: Automated Generation of Verified Combinatorial Reasoning Instances for LLMs — authors' own model runsMicrosoft Research — Phi-4 Technical Report
310Ministral 3 3B Mistral42±1local~3.5GB262kLM Studio › Marco-MoE: Open Multilingual Mixture-of-Expert Language Models with Efficient Upcyclingmistralai/Ministral-3-8B-Instruct-2512 model cardmistralai/Ministral-3-14B-Instruct-2512 model card
311DeepSeek-V2.5 DeepSeek42±1local~151GB164kOllama › WildEval ZeroEval published resultsDeepSeek vendor-reported benchmark scores for its own models (Hugging Face model cards)
312Qwen2-Math 7B Instruct Alibaba42±2†local~6GB4kLM Studio › Qwen (Alibaba) vendor-reported benchmark scores for its own models (qwen.ai launch posts, Qwen2.5-VL and Qwen3-VL technical reports, Qwen3.8-Flash-Next card)
313Granite 4.0 Micro 3B IBM42±2local~3.5GB131kLM Studio › ibm-granite/granite-4.0-h-small model cardEpoch AI — internal evaluations
315Granite 8B Code Base (4K) IBM42±2*†local~6.6GBllama.cpp › Granite Code Models: A Family of Open Foundation Models for Code Intelligence — authors' own runs
317Llama 3.2 90B Vision Instruct Meta42±1local~58GB128kOllama › Epoch AI — internal evaluationsPixtral 12B (Mistral AI, arXiv 2410.07073v2)
318Qwen2 72B Instruct Alibaba41±1local~33GB131kllama.cpp › Epoch AI — internal evaluationsWildEval ZeroEval published resultsQwen (Alibaba) vendor-reported benchmark scores for its own models (qwen.ai launch posts, Qwen2.5-VL and Qwen3-VL technical reports, Qwen3.8-Flash-Next card)
319Llama 3.1 70B Instruct Meta41±1local~27GB128kllama.cpp › Epoch AI — internal evaluationsWildEval ZeroEval published resultsVector Institute Evaluation Leaderboard (Inspect Evals runs)2 OLMo 2 Furious (Team OLMo, Ai2) — authors' own evaluations of OLMo 2 Instruct and peer instruct modelsPuzzle: Distillation-Based NAS for Inference-Optimized LLMs (arXiv:2411.19146v5)
322Gemma 4 E2B Google41±1local~5.1GB131kllama.cpp › openbmb/MiniCPM5-2B model cardXHToken/Spark-X2.5-4B model cardGemma Team — Gemma 4 Technical ReportLiquidAI/LFM2.5-2.6B model card
323Qwen2.5-Math 1.5B Instruct Alibaba41±2†local~2.4GB4kLM Studio › Qwen (Alibaba) vendor-reported benchmark scores for its own models (qwen.ai launch posts, Qwen2.5-VL and Qwen3-VL technical reports, Qwen3.8-Flash-Next card)
325Phi-4-mini 3.8B Microsoft41±2†local~3.8GB128kLM Studio › microsoft/Phi-4-mini-instruct model cardMicrosoft — Phi-4-Mini Technical Report
326DeepSeek-Coder-V2 Instruct (0724) DeepSeek41±3*local~151GBllama.cpp › WildEval ZeroEval published results
327Phi-2 (2.7B) Microsoft40±3*local~3.2GB2kLM Studio › MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies (Hu et al.)
328Molmo 2 8B Ai240±7*†local~6.8GBllama.cpp › Molmo2: Open Weights and Data for Vision-Language Models with Video Understanding and Grounding (Ai2, arXiv 2601.10611v4)
329Pixtral 12B (2409) Mistral40±3*†local~9.6GBllama.cpp › Pixtral 12B (Mistral AI, arXiv 2410.07073v2)
330StarCoder2 15B BigCode40±2*†local~11GB16kLM Studio › StarCoder 2 and The Stack v2: The Next Generation — authors' own runs
331LFM2 2.6B Liquid AI40±3*†local~3GB33kLM Studio › LFM2 Technical Report — Liquid AI own SmolLM3 evaluation
332Qwen3.5 2B Alibaba40±1local~2.9GB262kllama.cpp › openbmb/MiniCPM5-2B model cardXHToken/Spark-X2.5-4B model cardQwen/Qwen3.5-2B model cardMathArena ArXivMath / BrokenArXiv / ArXivLean model-output datasets
333Llama 3.1 Nemotron 70B Instruct NVIDIA40±3*local~43GB128kLM Studio › Tülu 3: Pushing Frontiers in Open Language Model Post-Training (Lambert et al., Ai2)
334Qwen2.5-VL 3B Instruct Alibaba40±3*†local~3.5GBllama.cpp › Qwen (Alibaba) vendor-reported benchmark scores for its own models (qwen.ai launch posts, Qwen2.5-VL and Qwen3-VL technical reports, Qwen3.8-Flash-Next card)
335Molmo 72B (0924) Ai240±6*local~309GBhow to run › Molmo2: Open Weights and Data for Vision-Language Models with Video Understanding and Grounding (Ai2, arXiv 2601.10611v4)Pixtral 12B (Mistral AI, arXiv 2410.07073v2)
336Qwen3-VL 2B Instruct Alibaba40±2*†local~2.7GB256kllama.cpp › Qwen (Alibaba) vendor-reported benchmark scores for its own models (qwen.ai launch posts, Qwen2.5-VL and Qwen3-VL technical reports, Qwen3.8-Flash-Next card)
337Gemma 7B (base) Google40±2local~7.1GB8kllama.cpp › Granite Code Models: A Family of Open Foundation Models for Code Intelligence — authors' own runsGemma report — original evaluations
338InternLM2.5 7B Chat Shanghai AI Laboratory (InternLM)39±3*†local~6.1GBLM Studio › InternLM GitHub repository model cards (Shanghai AI Laboratory)
339Qwen2-Math 1.5B Instruct Alibaba39±2†local~2.4GB4kLM Studio › Qwen (Alibaba) vendor-reported benchmark scores for its own models (qwen.ai launch posts, Qwen2.5-VL and Qwen3-VL technical reports, Qwen3.8-Flash-Next card)
340CodeGemma 7B (v1.0) Google39±2*local~7.1GBllama.cpp › Granite Code Models: A Family of Open Foundation Models for Code Intelligence — authors' own runs
341Code Tulu 2 34B Allen Institute for AI39±5*†local~72GBhow to run › Tulu 2 — base and instruction-tuned evaluations
342LFM2 1.2B Liquid AI39±3*†local~2.2GB33kLM Studio › LiquidAI/LFM2-1.2B model card
343WizardLM 70B V1.0 Microsoft38±4*local~32GBllama.cpp › Orca 2: Teaching Small Language Models How to Reason (Mitra et al., Microsoft)
345Llama 3.2 11B Vision Instruct Meta38±3*local~8.8GB128kOllama › Pixtral 12B (Mistral AI, arXiv 2410.07073v2)
347LFM2.5 1.2B Instruct Liquid AI38±2†local~2.2GB33kLM Studio › LiquidAI/LFM2.5-1.2B-Thinking model card
348Gemma 2 27B IT Google38±1local~18GB8kLM Studio › Epoch AI — internal evaluationsWildEval ZeroEval published resultsallenai/Olmo-3.1-32B-Think model card2 OLMo 2 Furious (Team OLMo, Ai2) — authors' own evaluations of OLMo 2 Instruct and peer instruct models
349WizardLM-2 8x22B Microsoft38±1*local~91GBOllama › Epoch AI — internal evaluations
350Llama 2 70B (base) Meta38±2local~32GB4kllama.cpp › Mixtral of Experts — base-model evaluationsTulu 2 — base and instruction-tuned evaluations
351Phi-3-vision-128k-instruct Microsoft38±6*†local~10GBhow to run › Phi-3 Technical Report (Microsoft, arXiv 2404.14219v3)
352Mathstral 7B v0.1 Mistral AI38±3*†local~5.8GB32kLM Studio › Mistral AI vendor-reported benchmark scores for its own models (Hugging Face model cards)
353Granite 3.3 2B Instruct IBM38±2†local~3GB128kLM Studio › ibm-granite/granite-3.3-8b-instruct model card
355Phi-3.5-vision-instruct Microsoft38±7*†local~10GBhow to run › Microsoft Phi-3.5-vision-instruct model card: Benchmarks table
356DeepSeek-Coder 33B Base DeepSeek38±2*local~22GB16kllama.cpp › StarCoder 2 and The Stack v2: The Next Generation — authors' own runs
358Tulu 2 DPO 13B Allen Institute for AI37±5*†local~9.8GBllama.cpp › Tulu 2 — base and instruction-tuned evaluations
359Llama 3 70B Instruct Meta37±1local~24GB8kllama.cpp › Epoch AI — internal evaluationsWildEval ZeroEval published results
360Jamba 1.5 Mini AI21 Labs37±4*†local~34GBllama.cpp › Jamba-1.5: Hybrid Transformer-Mamba Models at Scale (AI21, arXiv 2408.12570v1)
361Yi 1.5 34B Chat 01.AI37±1local~22GB4kLM Studio › Epoch AI — internal evaluationsWildEval ZeroEval published results
362Llama 3.1 Tulu 3 8B Ai237±1local~6.2GB131kLM Studio › microsoft/Phi-4-mini-instruct model card2 OLMo 2 Furious (Team OLMo, Ai2) — authors' own evaluations of OLMo 2 Instruct and peer instruct models
363Hermes 2 Theta Llama-3 70B Nous Research37±1*local~47GB8kllama.cpp › Epoch AI — internal evaluations
364Granite 3.2 8B Instruct IBM37±2†local~6.6GB131kllama.cpp › ibm-granite/granite-3.3-8b-instruct model card
366Granite 4.0 1B IBM37±2local~2.4GB128kLM Studio › ibm-granite/granite-4.0-h-1b model cardLiquidAI/LFM2.5-1.2B-Thinking model cardEpoch AI — internal evaluations
367Qwen2.5 3B Instruct Alibaba37±1local~3.3GB33kLM Studio › WildEval ZeroEval published resultsmicrosoft/Phi-4-mini-instruct model card
368OLMo 2 32B Instruct (0325) Ai237±1†local~21GBLM Studio › allenai/Olmo-3.1-32B-Think model card2 OLMo 2 Furious (Team OLMo, Ai2) — authors' own evaluations of OLMo 2 Instruct and peer instruct models
369Llama 3.1 8B Instruct Meta37±1local~6.2GB128kLM Studio › Epoch AI — internal evaluationsWildEval ZeroEval published resultsmicrosoft/Phi-4-mini-instruct model cardIBM Granite 3.0 Language Models technical report (GitHub)2 OLMo 2 Furious (Team OLMo, Ai2) — authors' own evaluations of OLMo 2 Instruct and peer instruct models
370Granite 3.1 8B Instruct IBM36±2†local~6.6GB128kllama.cpp › ibm-granite/granite-3.3-8b-instruct model cardibm-granite/granite-3.1-3b-a800m-instruct model card
371OLMo 2 13B Instruct (1124) Allen Institute for AI36±2*†local~9.6GB4kLM Studio › 2 OLMo 2 Furious (Team OLMo, Ai2) — authors' own evaluations of OLMo 2 Instruct and peer instruct models
372Gemma 2 9B IT Google36±1local~7GB8kLM Studio › Epoch AI — internal evaluationsWildEval ZeroEval published resultsmicrosoft/Phi-4-mini-instruct model card2 OLMo 2 Furious (Team OLMo, Ai2) — authors' own evaluations of OLMo 2 Instruct and peer instruct modelsInternLM GitHub repository model cards (Shanghai AI Laboratory)
373Tulu 2 13B Allen Institute for AI36±4*†local~9.8GBllama.cpp › Tulu 2 — base and instruction-tuned evaluations
374Granite 3.0 8B Instruct IBM36±2*†local~6.6GB4kllama.cpp › IBM Granite 3.0 Language Models technical report (GitHub)
377Granite 4.0 H 1B IBM36±2local~2.3GB131kLM Studio › ibm-granite/granite-4.0-h-1b model cardLiquidAI/LFM2.5-1.2B-Thinking model card
378Athene-70B Nexusflow35±1*local~29GBllama.cpp › WildEval ZeroEval published results
379Qwen3 0.6B Alibaba35±2local~1.8GB33kLM Studio › Olmo 3LiquidAI/LFM2-1.2B model card
380Phi-3 Medium 128K Instruct Microsoft35±1*local~9.8GB128kLM Studio › Epoch AI — internal evaluations
381Code Llama 34B (base) Meta35±2*local~23GB16kOllama › StarCoder 2 and The Stack v2: The Next Generation — authors' own runsTulu 2 — base and instruction-tuned evaluations
382Qwen2 7B Instruct Alibaba35±1local~6GB131kLM Studio › WildEval ZeroEval published resultsQwen (Alibaba) vendor-reported benchmark scores for its own models (qwen.ai launch posts, Qwen2.5-VL and Qwen3-VL technical reports, Qwen3.8-Flash-Next card)InternLM GitHub repository model cards (Shanghai AI Laboratory)
384Ministral 8B (2410) Mistral34±1local~6.2GB128kLM Studio › Epoch AI — internal evaluationsmicrosoft/Phi-4-mini-instruct model card2 OLMo 2 Furious (Team OLMo, Ai2) — authors' own evaluations of OLMo 2 Instruct and peer instruct modelsMistral AI vendor-reported benchmark scores for its own models (Hugging Face model cards)
385Code Tulu 2 13B Allen Institute for AI34±5*†local~29GBhow to run › Tulu 2 — base and instruction-tuned evaluations
387LFM2 700M Liquid AI34±3*†local~1.9GB33kLM Studio › LiquidAI/LFM2-1.2B model card
390Phi-3.5-mini-instruct Microsoft34±1local~3.7GB128kLM Studio › WildEval ZeroEval published resultsmicrosoft/Phi-4-mini-instruct model card
392Qwen2-VL 7B Instruct Alibaba34±2local~6.4GBLM Studio › Qwen (Alibaba) vendor-reported benchmark scores for its own models (qwen.ai launch posts, Qwen2.5-VL and Qwen3-VL technical reports, Qwen3.8-Flash-Next card)Pixtral 12B (Mistral AI, arXiv 2410.07073v2)
393Code Llama 34B Instruct Meta33±5*local~22GB16kLM Studio › Tulu 2 — base and instruction-tuned evaluations
394Yi 1.5 9B Chat 01.AI33±1*local~6.8GB4kLM Studio › WildEval ZeroEval published results
396Granite 3.0 2B Instruct IBM33±2*†local~3.2GB4kllama.cpp › IBM Granite 3.0 Language Models technical report (GitHub)
397OLMo 2 7B Instruct (1124) Allen Institute for AI33±2†local~5.8GB4kLM Studio › 2 OLMo 2 Furious (Team OLMo, Ai2) — authors' own evaluations of OLMo 2 Instruct and peer instruct modelsallenai/Olmo-3-7B-Instruct model card
398Qwen3.5 0.8B Alibaba33±4†local~2GB262kllama.cpp › Qwen/Qwen3.5-2B model card
399Qwen2.5 1.5B Instruct Alibaba33±2local~2.4GB33kLM Studio › 2 OLMo 2 Furious (Team OLMo, Ai2) — authors' own evaluations of OLMo 2 Instruct and peer instruct modelsSmolLM2 paper (Hugging Face) — authors' own instruct-model evaluations
401Mistral 7B v0.1 (base) Mistral AI33±1local~5.8GB8kLM Studio › Mixtral of Experts — base-model evaluationsMistral 7B — authors' own runsMiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies (Hu et al.)Gemma report — original evaluations
402Llama 3.2 3B Instruct Meta32±1local~3.4GB131kLM Studio › microsoft/Phi-4-mini-instruct model cardIBM Granite 3.0 Language Models technical report (GitHub)microsoft/Phi-4-mini-reasoning model cardMicrosoft — Phi-4-Mini Technical ReportLFM2 Technical Report — Liquid AI own SmolLM3 evaluation
404Mistral NeMo Instruct (2407) Mistral32±1*local~8.7GB128kLM Studio › Epoch AI — internal evaluationsWildEval ZeroEval published results
405DBRX Instruct Databricks32±1*local~85GB32kOllama › Epoch AI — internal evaluations
406Tulu 2 DPO 7B Allen Institute for AI32±5*†local~5.8GBllama.cpp › Tulu 2 — base and instruction-tuned evaluations
408Tulu 2 7B Allen Institute for AI32±5*†local~5.8GBllama.cpp › Tulu 2 — base and instruction-tuned evaluations
409Phi-3-mini-4k-instruct (June 2024 update) Microsoft32±1*local~3.7GBLM Studio › WildEval ZeroEval published results
410Command R Plus (04-2024) Cohere32±1*local~43GB128kllama.cpp › WildEval ZeroEval published resultsVector Institute Evaluation Leaderboard (Inspect Evals runs)
411Code Tulu 2 7B Allen Institute for AI32±5*†local~16GBhow to run › Tulu 2 — base and instruction-tuned evaluations
412Gemma 3 1B Google31±1local~2.2GB32kLM Studio › Google DeepMind Gemma 3 270M IT model cardLiquidAI/LFM2.5-1.2B-Thinking model card2 OLMo 2 Furious (Team OLMo, Ai2) — authors' own evaluations of OLMo 2 Instruct and peer instruct modelsLiquidAI/LFM2-1.2B model cardEpoch AI — internal evaluations
413DeepSeek-Coder 6.7B Base DeepSeek31±2*local~5.8GB16kllama.cpp › StarCoder 2 and The Stack v2: The Next Generation — authors' own runs
414Granite 3.2 2B Instruct IBM31±2†local~3GB131kLM Studio › ibm-granite/granite-3.3-8b-instruct model card
415Granite 3.1 2B Instruct IBM31±2†local~3.1GB128kllama.cpp › ibm-granite/granite-3.3-8b-instruct model cardibm-granite/granite-3.1-3b-a800m-instruct model card
417Stable Code 3B Stability AI31±2*local~3.3GB16kllama.cpp › StarCoder 2 and The Stack v2: The Next Generation — authors' own runs
418Mixtral 8x7B Instruct v0.1 Mistral30±1*local~29GB32kLM Studio › Epoch AI — internal evaluationsWildEval ZeroEval published results
419StarCoder2 7B BigCode30±2local~6.1GB16kLM Studio › StarCoder 2 and The Stack v2: The Next Generation — authors' own runsGranite Code Models: A Family of Open Foundation Models for Code Intelligence — authors' own runs
420Granite 3.1 3B-A800M Instruct IBM30±4*†local~3.6GB131kllama.cpp › ibm-granite/granite-3.1-3b-a800m-instruct model card
421Zephyr 7B beta Hugging Face30±5*local~6.1GBllama.cpp › Tulu 2 — base and instruction-tuned evaluations
422Granite 3.0 3B-A800M Instruct IBM30±2*†local~3.7GB4kllama.cpp › IBM Granite 3.0 Language Models technical report (GitHub)
423OLMo 2 1B Instruct (0425) Allen Institute for AI29±2*†local~2.4GB4kllama.cpp › 2 OLMo 2 Furious (Team OLMo, Ai2) — authors' own evaluations of OLMo 2 Instruct and peer instruct models
425Code Llama 13B (base) Meta29±2*local~9.2GB16kLM Studio › StarCoder 2 and The Stack v2: The Next Generation — authors' own runsTulu 2 — base and instruction-tuned evaluations
426Llama 3 8B Instruct Meta29±1local~6.6GB8kllama.cpp › Epoch AI — internal evaluationsWildEval ZeroEval published resultsInternLM GitHub repository model cards (Shanghai AI Laboratory)
427WizardLM 13B V1.2 Microsoft29±4*local~9.8GBllama.cpp › Orca 2: Teaching Small Language Models How to Reason (Mitra et al., Microsoft)
428DeepSeek LLM 67B Chat DeepSeek29±1*local~31GB4kllama.cpp › Epoch AI — internal evaluations
429Apertus 8B Instruct (2509) Swiss AI29±3*local~6.3GB66kLM Studio › allenai/Olmo-3-7B-Instruct model card
430Code Llama 13B Instruct Meta28±5*local~9.8GB16kllama.cpp › Tulu 2 — base and instruction-tuned evaluations
431SmolLM2 1.7B Instruct Hugging Face27±2local~2.6GB8kLM Studio › 2 OLMo 2 Furious (Team OLMo, Ai2) — authors' own evaluations of OLMo 2 Instruct and peer instruct modelsSmolLM2 paper (Hugging Face) — authors' own instruct-model evaluations
432Yi 34B Chat 01.AI27±1*local~23GB4kllama.cpp › Epoch AI — internal evaluations
433LFM2 350M Liquid AI27±3*†local~1.7GB33kLM Studio › LiquidAI/LFM2-1.2B model card
434Falcon 40B (base) TII27±3*local~27GB2kOllama › MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies (Hu et al.)
435Gemma 2B (base) Google27±4*†local~3.2GB8kllama.cpp › Gemma report — original evaluations
436Llama 2 70B Chat Meta26±1local~32GB4kllama.cpp › Epoch AI — internal evaluationsOrca 2: Teaching Small Language Models How to Reason (Mitra et al., Microsoft)Tulu 2 — base and instruction-tuned evaluations
437Llama 2 13B (base) Meta26±2local~9.3GB4kOllama › Mixtral of Experts — base-model evaluationsMistral 7B — authors' own runsMiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies (Hu et al.)Tulu 2 — base and instruction-tuned evaluations
438StarCoder2 3B BigCode26±2*†local~3.4GB16kllama.cpp › StarCoder 2 and The Stack v2: The Next Generation — authors' own runs
439Llama 3.2 1B Instruct Meta25±1local~2.2GB131kLM Studio › IBM Granite 3.0 Language Models technical report (GitHub)LiquidAI/LFM2.5-1.2B-Thinking model card2 OLMo 2 Furious (Team OLMo, Ai2) — authors' own evaluations of OLMo 2 Instruct and peer instruct modelsSmolLM2 paper (Hugging Face) — authors' own instruct-model evaluationsLiquidAI/LFM2-1.2B model cardEpoch AI — internal evaluations
440Code Llama 7B Instruct Meta25±5*local~5.5GB16kLM Studio › Tulu 2 — base and instruction-tuned evaluations
441Llama-3-Instruct-8B-SimPO-v0.2 Princeton NLP25±2*local~6.6GBllama.cpp › WildEval ZeroEval published results
442Granite 3.1 1B-A400M Instruct IBM25±4*†local~2.3GB131kllama.cpp › ibm-granite/granite-3.1-3b-a800m-instruct model card
443Mistral 7B Instruct v0.3 Mistral25±1local~5.8GB32kLM Studio › Epoch AI — internal evaluationsMistral AI vendor-reported benchmark scores for its own models (Hugging Face model cards)
444Qwen2 0.5B Instruct Alibaba24±5*†local~1.8GB32kLM Studio › Qwen2-0.5B-Instruct model card
445Molmo 7B-D (0924) Ai224±3local~35GBhow to run › Pixtral 12B (Mistral AI, arXiv 2410.07073v2)Molmo2: Open Weights and Data for Vision-Language Models with Video Understanding and Grounding (Ai2, arXiv 2601.10611v4)
446Gemma 2 2B IT Google24±1local~3.1GB8kLM Studio › WildEval ZeroEval published resultsIBM Granite 3.0 Language Models technical report (GitHub)
447Command R (03-2024) Cohere23±1*local~24GB128kllama.cpp › WildEval ZeroEval published results
448Llama 2 7B Chat Meta23±5*local~5.8GB4kllama.cpp › Tulu 2 — base and instruction-tuned evaluations
449Qwen2-VL 2B Instruct Alibaba23±3*†local~2.8GB33kLM Studio › Qwen (Alibaba) vendor-reported benchmark scores for its own models (qwen.ai launch posts, Qwen2.5-VL and Qwen3-VL technical reports, Qwen3.8-Flash-Next card)
450StarCoderBase 15.5B BigCode23±2*†local~12GBllama.cpp › StarCoder 2 and The Stack v2: The Next Generation — authors' own runs
451Qwen2 1.5B Instruct Alibaba23±1local~2.4GB32kLM Studio › WildEval ZeroEval published resultsQwen (Alibaba) vendor-reported benchmark scores for its own models (qwen.ai launch posts, Qwen2.5-VL and Qwen3-VL technical reports, Qwen3.8-Flash-Next card)Qwen2-0.5B-Instruct model card
452Granite 3.0 1B-A400M Instruct IBM23±3*†local~2.3GB4kllama.cpp › IBM Granite 3.0 Language Models technical report (GitHub)
453Code Llama 7B (base) Meta22±2local~5.5GB16kLM Studio › StarCoder 2 and The Stack v2: The Next Generation — authors' own runsMistral 7B — authors' own runsGranite Code Models: A Family of Open Foundation Models for Code Intelligence — authors' own runsTulu 2 — base and instruction-tuned evaluations
455Granite 4.0 H 350M IBM20±2†local~1.7GB33kLM Studio › ibm-granite/granite-4.0-h-1b model card
456Granite 4.0 350M IBM19±2local~1.7GB32kLM Studio › ibm-granite/granite-4.0-h-1b model cardEpoch AI — internal evaluations
457Llama 2 13B Chat Meta19±3*local~9.8GB4kllama.cpp › Orca 2: Teaching Small Language Models How to Reason (Mitra et al., Microsoft)Tulu 2 — base and instruction-tuned evaluations
458Llama 2 7B (base) Meta18±2local~5.5GB4kOllama › Mixtral of Experts — base-model evaluationsMistral 7B — authors' own runsMiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies (Hu et al.)Tulu 2 — base and instruction-tuned evaluations
460DeepSeek-Coder 1.3B Base DeepSeek17±3*local~2.4GB16kOllama › StarCoder 2 and The Stack v2: The Next Generation — authors' own runs
461StarCoderBase 7B BigCode17±2local~6GBOllama › StarCoder 2 and The Stack v2: The Next Generation — authors' own runsGranite Code Models: A Family of Open Foundation Models for Code Intelligence — authors' own runs
462StarCoderBase 3B BigCode13±3*†local~3.4GBOllama › StarCoder 2 and The Stack v2: The Next Generation — authors' own runs
—DeepSeek LLM 7B Chat DeepSeeknot yet calibratedlocal~5.7GBOllama › DeepSeek vendor-reported benchmark scores for its own models (Hugging Face model cards)
—DeepSeek-V2 Lite Chat (16B-A2.4B) DeepSeeknot yet calibratedlocal~11GB32kLM Studio › DeepSeek vendor-reported benchmark scores for its own models (Hugging Face model cards)
—ERNIE 4.5 300B-A47B Baidunot yet calibratedlocal~97GB131kllama.cpp › ERNIE 4.5 post-trained 300B-A47B benchmark chart
—Eurus-2-7B-PRIME PRIME-RLnot yet calibratedlocal~6.4GB4kllama.cpp › PRIME-RL Eurus-2-7B-PRIME model card, Evaluation table (own models)
—Eurus-2-7B-SFT PRIME-RLnot yet calibratedlocal~6.4GBllama.cpp › PRIME-RL Eurus-2-7B-PRIME model card, Evaluation table (own models)
—Flan-T5 Base Googlenot yet calibratedlocal~2.5GBhow to run › Scaling Instruction-Finetuned Language Models — authors' own runs
—Flan-T5 Large Googlenot yet calibratedlocal~4.8GBhow to run › Scaling Instruction-Finetuned Language Models — authors' own runs
—Flan-T5 Small Googlenot yet calibratedlocal~1.8GBhow to run › Scaling Instruction-Finetuned Language Models — authors' own runs
—Flan-T5 XL Googlenot yet calibratedlocal~14GBhow to run › Scaling Instruction-Finetuned Language Models — authors' own runs
—Flan-T5 XXL Googlenot yet calibratedlocal~49GBhow to run › Scaling Instruction-Finetuned Language Models — authors' own runs
—Gemma 3n E2B IT Googlenot yet calibratedlocal~4.7GB32kllama.cpp › Google DeepMind Gemma 3n E2B IT model card
—Gemma 3n E4B Googlenot yet calibratedlocal~6.2GB32kllama.cpp › Google DeepMind Gemma 3n E2B IT model card
—GPT-2 XL (1.5B) OpenAInot yet calibratedlocal~2.8GB1kllama.cpp › EleutherAI GPT-Neo 2.7B model card — EleutherAI evaluation-harness runs
—GPT-Neo 1.3B EleutherAInot yet calibratedlocal~7.1GB2khow to run › EleutherAI GPT-Neo 2.7B model card — EleutherAI evaluation-harness runs
—GPT-Neo 2.7B EleutherAInot yet calibratedlocal~13GB2khow to run › EleutherAI GPT-Neo 2.7B model card — EleutherAI evaluation-harness runs
—Granite 4.1 30B IBMnot yet calibratedlocal~19GBOllama › ibm-granite/granite-4.1-8b model card
—Granite 4.1 3B IBMnot yet calibratedlocal~3.7GBOllama › ibm-granite/granite-4.1-8b model card
—Granite 4.1 8B IBMnot yet calibratedlocal~7GB131kLM Studio › ibm-granite/granite-4.1-8b model card
—Hunyuan Hy3 (295B-A21B) Tencentnot yet calibratedlocal~96GB256kllama.cpp › tencent/Hy3 model cardTencent Hy4 preview model card
—Hy3 preview (295B-A21B) Tencentnot yet calibratedlocal~629GBhow to run › tencent/Hy3 model card
—Hy4 preview (770B-A49B) Tencentnot yet calibratedlocal~248GB1Mllama.cpp › Tencent Hy4 preview model card
—K2 Horizon 7B Institute of Foundation Models (MBZUAI)not scored yetlocal~7.7GB524kllama.cpp ›
—Ling 3.0 Flash (124B-A5B) inclusionAI (Ant Group)not yet calibratedlocal~75GB131kLM Studio › inclusionAI/Ling-3.0-flash model card
—Llama 3.1 Nemotron Ultra 253B v1 NVIDIAnot yet calibratedlocal~82GB128kllama.cpp › NVIDIA — Llama-Nemotron: Efficient Reasoning Models
—Llama 3.3 Nemotron Super 49B v1 NVIDIAnot yet calibratedlocal~22GBllama.cpp › NVIDIA — Llama-Nemotron: Efficient Reasoning Models
—MiniMax-M1 (80k) MiniMaxnot yet calibratedlocal~959GB1Mhow to run › MiniMaxAI/MiniMax-M1-80k model card
—Ministral 3 14B Reasoning 2512 Mistralnot yet calibratedlocal~10GB262kllama.cpp › mistralai/Ministral-3-3B-Reasoning-2512 model cardmistralai/Ministral-3-8B-Reasoning-2512 model card
—Ministral 3 3B Reasoning 2512 Mistralnot yet calibratedlocal~3.5GB262kLM Studio › mistralai/Ministral-3-8B-Reasoning-2512 model cardmistralai/Ministral-3-3B-Reasoning-2512 model card
—Ministral 3 8B Reasoning 2512 Mistralnot yet calibratedlocal~6.5GB262kLM Studio › mistralai/Ministral-3-3B-Reasoning-2512 model cardmistralai/Ministral-3-8B-Reasoning-2512 model card
—Mistral Small 4 (119B-A6.5B) Mistralnot scored yetlocal~40GB262kllama.cpp ›
—Muse Glimmer 30B Metanot scored yetlocal~19GB131kllama.cpp ›
—OLMo 7B Allen Institute for AInot yet calibratedlocal~30GB2khow to run › OLMo: Accelerating the Science of Language Models — authors' own runs
—OLMo 7B Instruct Ai2not yet calibratedlocal~16GBhow to run › OLMo: Accelerating the Science of Language Models — authors' own runs
—OpenChat 3.5 OpenChatnot yet calibratedlocal~6.1GB8kllama.cpp › OpenChat 3.5 model card (openchat/openchat_3.5)
—OpenHermes 2.5 Mistral 7B Nous Researchnot yet calibratedlocal~6.1GBllama.cpp › OpenChat 3.5 model card (openchat/openchat_3.5)
—Qwen2.5 0.5B Instruct Alibabanot yet calibratedlocal~1.8GB33kLM Studio › HuggingFaceTB/SmolLM2-360M-Instruct model card
—SmolLM2 360M Instruct Hugging Facenot yet calibratedlocal~1.7GB8kLM Studio › HuggingFaceTB/SmolLM2-360M-Instruct model card
—Trinity-Large-Preview Arcee AInot yet calibratedlocal~155GBllama.cpp › Arcee AI vendor-reported benchmark scores for its own Trinity models (Hugging Face model cards)
—Trinity-Large-Thinking Arcee AInot yet calibratedlocal~141GB512kllama.cpp › Arcee AI vendor-reported benchmark scores for its own Trinity models (Hugging Face model cards)

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509 of 511 catalogue models listed here · sources and licences

* new or thinly tested: ranked on too few benchmark results · † only the maker’s own numbers so far · ~RAM is estimated; full context may need more memory