Model comparison
Grok 3 vs Mistral Large 4
Mistral Large 4 is the stronger model overall, scoring 43.1 to 39.9 on the Noometry Index.
Last verified . 12 shared benchmarks.
Mistral AISummary
- They share 12 benchmarks with published results for both. Grok 3 scores higher in 2 categories and Mistral Large 4 in 6 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Grok 3 leads 46.2 to 36.6.
Side by side
| Grok 3 | Mistral Large 4 | |
|---|---|---|
| Provider | xAI | Mistral AI |
| Noometry Index | 39.9 | 43.1 |
| Released | 2025-04-09 | 2026-10-06 |
| Weights | Proprietary | Proprietary |
| Context window | — | 1.05M |
| Max output | — | 262K |
| Input $ / M tokens | — | $0.68 |
| Output $ / M tokens | — | $2.09 |
| Results tracked | 40 | 15 |
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Category by category
Coding Mistral Large 4 leads
Grok 3: 41.9 (#115), Mistral Large 4: 48.6 (#57)
| Benchmark | Grok 3 | Mistral Large 4 |
|---|---|---|
| LMArena Coding | 1432 | 1475 |
| Aider Polyglot | 53.3% | — |
| LMArena WebDev | — | 1541 |
| WeirdML | 37.2% | — |
Agentic & Tool Use Not comparable
Grok 3: 30.5 (#76), Mistral Large 4: —
| Benchmark | Grok 3 | Mistral Large 4 |
|---|---|---|
| BALROG | 29.5% | — |
Reasoning Mistral Large 4 leads
Grok 3: 13.7 (#333), Mistral Large 4: 22.5 (#192)
| Benchmark | Grok 3 | Mistral Large 4 |
|---|---|---|
| LMArena Hard Prompts | 1434 | 1444 |
| ARC-AGI-2 | 0% | — |
| SimpleBench | 36.1% | — |
| Kagi LLM Benchmark | 61.3% | — |
| NYT Connections (extended) | — | 27.4% |
| ARC-AGI-1 | 5.5% | — |
| Epoch Capabilities Index | 138.33 | — |
Math Mistral Large 4 leads
Grok 3: 38.0 (#145), Mistral Large 4: 40.4 (#91)
| Benchmark | Grok 3 | Mistral Large 4 |
|---|---|---|
| LMArena Math | 1391 | 1488 |
| OTIS Mock AIME 2024-2025 | 55.6% | — |
| Omni-MATH | 46.4% | — |
| MATH Level 5 | 88.7% | — |
| FrontierMath (Feb 2025 set) | 3.8% | — |
| FrontierMath Tier 4 (v1) | 0% | — |
Knowledge Grok 3 leads
Grok 3: 46.2 (#82), Mistral Large 4: 36.6 (#166)
| Benchmark | Grok 3 | Mistral Large 4 |
|---|---|---|
| LMArena Expert | 1421 | 1447 |
| GPQA Diamond | 75.8% | — |
| SimpleQA Verified | — | 20% |
| MMLU-Pro | 78.8% | — |
| Confabulations | 14.2% | — |
| Vectara Hallucination Rate | 5.8% | — |
| GPQA (HELM) | 65% | — |
Multilingual Too close to call
Grok 3: 52.3 (#87), Mistral Large 4: 52.6 (#82)
| Benchmark | Grok 3 | Mistral Large 4 |
|---|---|---|
| LMArena Non-English | 1410 | 1415 |
| LMArena Chinese | 1448 | 1491 |
| LMArena Russian | 1416 | 1414 |
| LMArena French | 1460 | — |
| LMArena German | 1431 | — |
| LMArena Japanese | 1387 | — |
| LMArena Korean | 1373 | — |
| LMArena Spanish | 1417 | — |
Instruction Following Too close to call
Grok 3: 75.0 (#73), Mistral Large 4: 75.0 (#76)
| Benchmark | Grok 3 | Mistral Large 4 |
|---|---|---|
| LMArena Instruction Following | 1409 | 1424 |
| IFEval | 88.4% | — |
Long Context Mistral Large 4 leads
Grok 3: 38.7 (#192), Mistral Large 4: 43.6 (#89)
| Benchmark | Grok 3 | Mistral Large 4 |
|---|---|---|
| LMArena Longer Query | 1439 | 1429 |
| Fiction.LiveBench | 58.3% | — |
Writing & Preference Mistral Large 4 leads
Grok 3: 55.8 (#141), Mistral Large 4: 60.4 (#97)
| Benchmark | Grok 3 | Mistral Large 4 |
|---|---|---|
| LMArena Text | 1426 | 1427 |
| LMArena Creative Writing | 1414 | 1361 |
| LMArena Multi-Turn | 1425 | 1424 |
| Short-Story Creative Writing | 76.4% | — |
| EQ-Bench Creative Writing | 1186 | — |
| WildBench | 84.9% | — |
Frequently asked questions
Is Grok 3 better than Mistral Large 4?
Mistral Large 4 is the stronger model overall, scoring 43.1 to 39.9 on the Noometry Index.
Is Grok 3 or Mistral Large 4 better for coding?
Mistral Large 4 scores higher on coding benchmarks: 48.6 versus 41.9 in the Noometry coding category.
How many benchmarks do Grok 3 and Mistral Large 4 share?
12 benchmarks have published results for both models. Grok 3 has 40 scored results on Noometry and Mistral Large 4 has 15.