Model comparison
Grok 4 Fast vs Mistral
Grok 4 Fast is the stronger model overall, scoring 39.4 to 29.9 on the Noometry Index.
Last verified . 17 shared benchmarks.
Summary
- They share 17 benchmarks with published results for both. Grok 4 Fast scores higher in 6 categories and Mistral in 2 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in long context, where Grok 4 Fast leads 63.2 to 35.0.
Side by side
| Grok 4 Fast | Mistral | |
|---|---|---|
| Provider | xAI | Mistral AI |
| Noometry Index | 39.4 | 29.9 |
| Released | 2025-09-19 | — |
| Weights | Proprietary | Proprietary |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 30 | 22 |
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Category by category
Coding Mistral leads
Grok 4 Fast: 32.5 (#271), Mistral: 33.8 (#250)
| Benchmark | Grok 4 Fast | Mistral |
|---|---|---|
| LMArena Coding | 1429 | 1162 |
| LMArena WebDev | 1159 | — |
| WeirdML | 42.9% | — |
Agentic & Tool Use Not comparable
Grok 4 Fast: 29.5 (#86), Mistral: —
| Benchmark | Grok 4 Fast | Mistral |
|---|---|---|
| τ²-bench Banking | 15.7% | — |
| Cybench | 30% | — |
| LMArena Search | 1171 | — |
Reasoning Too close to call
Grok 4 Fast: 22.2 (#201), Mistral: 22.2 (#200)
| Benchmark | Grok 4 Fast | Mistral |
|---|---|---|
| LMArena Hard Prompts | 1412 | 1149 |
| ARC-AGI-2 | 5.3% | — |
| Kagi LLM Benchmark | 66.1% | — |
| ARC-AGI-1 | 48.5% | — |
| DTBench | 82.7% | — |
| Epoch Capabilities Index | 144.2 | — |
| ForecastBench | 60.5 | — |
Math Grok 4 Fast leads
Grok 4 Fast: 38.9 (#123), Mistral: 22.3 (#278)
| Benchmark | Grok 4 Fast | Mistral |
|---|---|---|
| LMArena Math | 1419 | 1180 |
| Omni-MATH | — | 7.2% |
Knowledge Grok 4 Fast leads
Grok 4 Fast: 32.0 (#214), Mistral: 16.6 (#288)
| Benchmark | Grok 4 Fast | Mistral |
|---|---|---|
| LMArena Expert | 1411 | 1125 |
| MMLU-Pro | — | 27.7% |
| Vectara Hallucination Rate | 19.7% | — |
| GPQA (HELM) | — | 30.3% |
Multilingual Grok 4 Fast leads
Grok 4 Fast: 51.3 (#111), Mistral: 32.8 (#254)
| Benchmark | Grok 4 Fast | Mistral |
|---|---|---|
| LMArena Non-English | 1396 | 1129 |
| LMArena Chinese | 1457 | 1109 |
| LMArena French | 1431 | 1180 |
| LMArena German | 1383 | 1155 |
| LMArena Japanese | 1352 | 1013 |
| LMArena Korean | 1357 | 1032 |
| LMArena Russian | 1389 | 1168 |
| LMArena Spanish | 1415 | 1143 |
Instruction Following Grok 4 Fast leads
Grok 4 Fast: 73.2 (#121), Mistral: 52.6 (#288)
| Benchmark | Grok 4 Fast | Mistral |
|---|---|---|
| LMArena Instruction Following | 1387 | 1152 |
| IFEval | — | 56.8% |
Long Context Grok 4 Fast leads
Grok 4 Fast: 63.2 (#3), Mistral: 35.0 (#245)
| Benchmark | Grok 4 Fast | Mistral |
|---|---|---|
| LMArena Longer Query | 1415 | 1153 |
| Fiction.LiveBench | 94.4% | — |
Writing & Preference Grok 4 Fast leads
Grok 4 Fast: 60.0 (#102), Mistral: 37.0 (#260)
| Benchmark | Grok 4 Fast | Mistral |
|---|---|---|
| LMArena Text | 1407 | 1165 |
| LMArena Creative Writing | 1387 | 1158 |
| LMArena Multi-Turn | 1414 | 1147 |
| WildBench | — | 66% |
Frequently asked questions
Is Grok 4 Fast better than Mistral?
Grok 4 Fast is the stronger model overall, scoring 39.4 to 29.9 on the Noometry Index.
Is Grok 4 Fast or Mistral better for coding?
Mistral scores higher on coding benchmarks: 33.8 versus 32.5 in the Noometry coding category.
How many benchmarks do Grok 4 Fast and Mistral share?
17 benchmarks have published results for both models. Grok 4 Fast has 30 scored results on Noometry and Mistral has 22.