whatmodel.sh / Grok 4.1
Grok 4.1
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Grok 4.1 is a closed-weights language model from SpaceXAI (xAI), released November 2025.
Catalogue identity notes
Comparison-only. Arena entries 'grok-4.1-thinking' (text, webdev), 'grok-4.1' (text). Released 2025-11: xAI 'Grok 4.1' post dated Nov 17, 2025. xAI: 'Grok 4.1 Thinking (code name: quasarflux)' and 'Grok 4.1 in its non-reasoning mode (code name: tensor)'. Distinct from Grok 4.1 Fast (grok-4-1-fast-reasoning). No xAI API id verified for Grok 4.1 itself.
$ how it compares
The LLMs ranked either side of Grok 4.1, out of 1132 with a score, then more from SpaceXAI (xAI).
| # | model | score | where | ||
|---|---|---|---|---|---|
| 192 |  EXAONE 4.5 33B | 65±2 | local | ||
| 193 |  gemma-2-9b-it-WPO-HB | 65±2 | local | ||
| 194 | Grok 4.1 | 65±2 | comparison only | ||
| 195 |  Qwen3.5 Flash | 65±1 | api $0.17/M | ||
| 196 |  ChatGPT-4o (2025-03-26) | 65±2 | comparison only | ||
| more from SpaceXAI (xAI) | |||||
| 30 | Grok 4.6 | 77±1 | api $3.00/M | ||
| 42 | Grok 4.5 | 75±1 | api $3.00/M | ||
| 47 | Grok 4.7 | 75±1 | api $3.00/M | ||
$ what it's good at
coding▁▁▁▃▅▇█▇▅▄▂▁ #212 of 549 * · 63% of its score · 1 test
Trails QwQ-32B-Preview, Ministral 3 8B Reasoning 2512, Phi-4-reasoning 14B here, though they rank lower overall.
| test | result | vs the others in its run | counts |
|---|---|---|---|
| Arena WebDev (Code Arena) | 1213.8 ✎ | ▁▂▄▃▅█▄▇▆▄▁▁ beats 6/119 | 63% |
chat & writing▁▁▁▃▅▅▆█▆▆▆▂ #44 of 579 * · 35% of its score · 1 test
Beats GPT-6 Sol, MiMo-V2.6-Flash (309B-A15B), GPT-6 Luna here, though they rank higher overall.
| test | result | vs the others in its run | counts |
|---|---|---|---|
| LMArena (text) | 1465.2 ✎ | ▁▁▁▂▃▃▃▆▆▇█▃ beats 336/379 | 35% |
$ where to run it
No verified API or download recorded yet · add one
$ how the score was worked out · LMArena leaderboard dataset 98%
Each result implies a score on its own, after adjusting for how hard its test is and who ran it. The score is their weighted average, with a small pull toward the middle for thinly tested models. Each test's weight is its counts column above; here it's added up by who ran the tests. How it works
| source | results | share of the score |
|---|---|---|
 LMArena leaderboard dataset | 2 | 98% |
| prior · pull toward the middle | 2% | |
| weighted average | = 64.9 |
$ improve this page
Use a short GitHub form or edit the data through a pull request. Every number needs a source; here's which ones we can use.
data updated · sources and licences · json