whatmodel.sh · find the best speech-to-text models you can run

Best multilingual speech-to-text models for a 64GB Mac

A leaderboard of the best multilingual speech-to-text models for a Mac with 64GB of memory. The best one that runs on it right now is SeamlessM4T v2 Large, followed by Whisper large-v3 and Omnilingual ASR LLM 7B v2. Models are ranked on transcription tests in many languages. Models that run on it show the download that fits and the command to run it.

34 models · scores combine 7 benchmarks · updated how it works · find a leaderboard · benchmark your machine
task[all tasks][long-form transcription][multilingual transcription]

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

Models for 64GB RAM · Apple Silicon → ~48GB fast · reset
+ more
chip[M1 Max][M1 Ultra][M2 Max][M2 Ultra][M3 Max (16-core CPU / 40-core GPU)][M4 Pro][M4 Max (16-core CPU / 40-core GPU)][M5 Pro][M5 Max (40-core GPU)]

Detect your exact chip or graphics card:

curl -G whatmodel.sh/stt -d max=0 --data-urlencode "mac=$(sysctl -n hw.memsize machdep.cpu.brand_string)"Mac

curl -G whatmodel.sh/stt -d max=0 --data-urlencode "ram=$(awk '/MemT/{print $2}' /proc/meminfo)" --data-urlencode "nv=$(nvidia-smi --query-gpu=name,memory.total --format=csv,noheader 2>/dev/null)"Linux

curl.exe -G whatmodel.sh/stt -d max=0 --data-urlencode "ram=$((gcim Win32_ComputerSystem).TotalPhysicalMemory)" --data-urlencode "nv=$(nvidia-smi --query-gpu=name,memory.total --format=csv,noheader 2>$null)"Windows

$ terminal

detecting your OS…

Run curl "whatmodel.sh/stt?ram=64&gpu=apple"to get this list in your terminal (add &format=json for agents).

ram[8][16][24][32][48][64][96][128][192][256]GB
gpu[apple silicon][graphics card][none]
price[local][$0.001][$0.002][$0.005][any]max per audio min

detecting your OS…

Score vs API price

#modeltask score↓where↓speed↓RAM↓get itsources
#modeltask score↓where↓speed↓RAM↓get itsources
1Scribe v2 ElevenLabs83±5api $0.0037/audio minelevenlabs.io ↗Benchmarking Automatic Speech Recognition Tools for Iberian Languages (arXiv:2609.36920v1), Table 3Open ASR LeaderboardCoSE-E: A Benchmark for Code-switched Speech Evaluation in Enterprise Settings (arXiv:2609.35645v1), Table 2mu-bench: A Multilingual Utterance Transcription Benchmark (arXiv:2609.32082v1), Table 5
2SeamlessM4T v2 Large · fp32 on CPU, fp16 on CUDA (seamless_communication m4t_predict) Meta79±8*local~9.2GBhow to run › Benchmarking Automatic Speech Recognition Tools for Iberian Languages (arXiv:2609.36920v1), Table 3
4Universal-3.5 Pro AssemblyAI69±10*api $0.0035/audio minwww.assemblyai.com ↗CoSE-E: A Benchmark for Code-switched Speech Evaluation in Enterprise Settings (arXiv:2609.35645v1), Table 2
5Chirp 3 Google67±16*api price unknowncloud.google.com ↗mu-bench: A Multilingual Utterance Transcription Benchmark (arXiv:2609.32082v1), Table 5
6Voxtral Small 24B (2507) Mistral65±7*api $0.0040/audio mindocs.mistral.ai ↗Open ASR LeaderboardCoSE-E: A Benchmark for Code-switched Speech Evaluation in Enterprise Settings (arXiv:2609.35645v1), Table 2
7Cohere Transcribe (03-2026) Cohere64±9*api $0.0042/audio minfal.ai ↗Open ASR Leaderboard
8Whisper large-v3 · fp16 OpenAI61±6*local~4.2GBhow to run › Benchmarking Automatic Speech Recognition Tools for Iberian Languages (arXiv:2609.36920v1), Table 3Open ASR Leaderboard
9Speechmatics Enhanced Speechmatics60±9*api $0.0067/audio minwww.speechmatics.com ↗Open ASR Leaderboard
10Omnilingual ASR LLM 7B v2 · bf16 Meta59±9*local~19GBhow to run › Open ASR Leaderboard
11Nova-3 Deepgram59±10*api $0.0052/audio mindevelopers.cloudflare.com ↗CoSE-E: A Benchmark for Code-switched Speech Evaluation in Enterprise Settings (arXiv:2609.35645v1), Table 2mu-bench: A Multilingual Utterance Transcription Benchmark (arXiv:2609.32082v1), Table 5
12Omnilingual ASR LLM 1B v2 · bf16 Meta59±6*local~6GBhow to run › Benchmarking Automatic Speech Recognition Tools for Iberian Languages (arXiv:2609.36920v1), Table 3Open ASR Leaderboard
13Voxtral Mini 3B (2507) · bf16 Mistral57±6*local~12GBhow to run › Benchmarking Automatic Speech Recognition Tools for Iberian Languages (arXiv:2609.36920v1), Table 3Open ASR Leaderboard
14Omnilingual ASR LLM 7B · bf16 Meta57±9*local~19GBhow to run › Open ASR Leaderboard
15Omnilingual ASR CTC 1B v2 · bf16 Meta51±6*local~2.9GBhow to run › Benchmarking Automatic Speech Recognition Tools for Iberian Languages (arXiv:2609.36920v1), Table 3Open ASR Leaderboard
16Whisper large-v3-turbo · fp16 OpenAI51±9*local~2.4GBhow to run › Open ASR Leaderboard
17Cohere Transcribe Arabic (07-2026) · bf16 (transformers >=5.4.0) Cohere50±9*local~4.1GBhow to run › QCRI Arabic + English ASR leaderboard (Hugging Face Space QCRI/AURA-Arabic-English-ASR-leaderboard)
18Parakeet TDT 0.6B v3 · onnx-fp32 NVIDIA49±6local~3.5GBhow to run › Benchmarking Automatic Speech Recognition Tools for Iberian Languages (arXiv:2609.36920v1), Table 3Open ASR LeaderboardCoSE-E: A Benchmark for Code-switched Speech Evaluation in Enterprise Settings (arXiv:2609.35645v1), Table 2
19Omnilingual ASR CTC 7B v2 · bf16 Meta49±9*local~16GBhow to run › Open ASR Leaderboard
20Omnilingual ASR LLM 3B v2 · bf16 Meta48±9*local~11GBhow to run › Open ASR Leaderboard
22Qwen3-ASR-1.7B · 8bit Alibaba (Qwen)48±5local~3.3GBhow to run › Benchmarking Automatic Speech Recognition Tools for Iberian Languages (arXiv:2609.36920v1), Table 3QCRI Arabic + English ASR leaderboard (Hugging Face Space QCRI/AURA-Arabic-English-ASR-leaderboard)Open ASR Leaderboard
23Omnilingual ASR CTC 3B v2 · bf16 Meta47±9*local~7.9GBhow to run › Open ASR Leaderboard
24Omnilingual ASR CTC 7B · bf16 Meta47±9*local~16GBhow to run › Open ASR Leaderboard
25Omnilingual ASR LLM 3B · bf16 Meta46±9*local~11GBhow to run › Open ASR Leaderboard
26Canary-1B-v2 · onnx-fp32 NVIDIA46±6*local~5.2GBhow to run › Benchmarking Automatic Speech Recognition Tools for Iberian Languages (arXiv:2609.36920v1), Table 3Open ASR Leaderboard
27Omnilingual ASR LLM 1B · bf16 Meta44±9*local~6GBhow to run › Open ASR Leaderboard
28Voxtral Mini Transcribe V2 Mistral42±6*†api $0.0030/audio mindocs.mistral.ai ↗Voxtral Realtime
29Omnilingual ASR CTC 3B · bf16 Meta41±9*local~7.9GBhow to run › Open ASR Leaderboard
31Voxtral Mini 4B Realtime (2602) · 4bit Mistral37±4local~3.2GBhow to run › Voxtral RealtimeBenchmarking Automatic Speech Recognition Tools for Iberian Languages (arXiv:2609.36920v1), Table 3Open ASR Leaderboard
32GPT-4o Mini Transcribe OpenAI37±6api $0.0030/audio mindevelopers.openai.com ↗Voxtral Realtimemu-bench: A Multilingual Utterance Transcription Benchmark (arXiv:2609.32082v1), Table 5
33Omnilingual ASR LLM 300M v2 · bf16 Meta35±9*local~4.4GBhow to run › Open ASR Leaderboard
34Omnilingual ASR CTC 1B · bf16 Meta33±9*local~2.9GBhow to run › Open ASR Leaderboard
35Omnilingual ASR LLM 300M · bf16 Meta31±9*local~4.4GBhow to run › Open ASR Leaderboard
36Omnilingual ASR CTC 300M v2 · bf16 Meta14±9*local~1.3GBhow to run › Open ASR Leaderboard
37Omnilingual ASR CTC 300M · bf16 Meta12±9*local~1.3GBhow to run › Open ASR Leaderboard

+ 3 more don't fit your machine or budget · show them

37 of 37 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