Model comparison
Grok Build 0.1 vs Mistral Large
Grok Build 0.1 is the stronger model overall, scoring 36.4 to 31.9 on the Noometry Index.
Last verified . 2 shared benchmarks.
Mistral AISummary
- They share 2 benchmarks with published results for both. Grok Build 0.1 scores higher in 2 categories and Mistral Large in 1 category; 3 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Grok Build 0.1 leads 32.2 to 15.8.
- The biggest single-benchmark swing is SciCode: 50.2% for Grok Build 0.1 and 36.2% for Mistral Large.
- Grok Build 0.1 is cheaper at $1 / $2 per million input/output tokens, against $2 / $6 for Mistral Large.
- Grok Build 0.1 accepts more context: 256K tokens versus 131K.
- Mistral Large has downloadable open weights; the other is API-only.
Side by side
| Grok Build 0.1 | Mistral Large | |
|---|---|---|
| Provider | xAI | Mistral AI |
| Noometry Index | 36.4 | 31.9 |
| Released | 2026-04-16 | 2024-02-26 |
| Weights | Proprietary | Open |
| Context window | 256K | 131K |
| Max output | 256K | 16K |
| Input $ / M tokens | $1 | $2 |
| Output $ / M tokens | $2 | $6 |
| Results tracked | 3 | 51 |
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Category by category
Coding Grok Build 0.1 leads
Grok Build 0.1: 43.1 (#91), Mistral Large: 34.3 (#240)
| Benchmark | Grok Build 0.1 | Mistral Large |
|---|---|---|
| SciCode | 50.2% | 36.2% |
| BigCodeBench Instruct | — | 30% |
| LiveBench Coding | — | 47.1% |
| LMArena Coding | — | 1277 |
| BigCodeBench Complete | — | 38.3% |
| ALE-Bench | — | 264.7 |
| HumanEval+ | — | 62.2% |
| MBPP+ | — | 59.5% |
Agentic & Tool Use Mistral Large leads
Grok Build 0.1: 22.7 (#129), Mistral Large: 28.6 (#89)
| Benchmark | Grok Build 0.1 | Mistral Large |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 38.4% |
| GBAEval | 2.4% | — |
Reasoning Grok Build 0.1 leads
Grok Build 0.1: 32.2 (#77), Mistral Large: 15.8 (#310)
| Benchmark | Grok Build 0.1 | Mistral Large |
|---|---|---|
| CritPt | 9.1% | 0% |
| SimpleBench | — | 22.5% |
| LiveBench Reasoning | — | 43.5% |
| LMArena Hard Prompts | — | 1257 |
| DTBench | — | 65.1% |
| LiveBench Data Analysis | — | 50.1% |
| LMCA | — | 16.7% |
| Epoch Capabilities Index | — | 128.52 |
| ForecastBench | — | 57.1 |
| LiveBench | — | 48.4% |
Math Not comparable
Grok Build 0.1: —, Mistral Large: 18.2 (#291)
| Benchmark | Grok Build 0.1 | Mistral Large |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 8.5% |
| Omni-MATH | — | 28.1% |
| LiveBench Math | — | 42.5% |
| LMArena Math | — | 1262 |
| MATH Level 5 | — | 50.3% |
| FrontierMath (Feb 2025 set) | — | 0.3% |
Knowledge Not comparable
Grok Build 0.1: —, Mistral Large: 30.1 (#230)
| Benchmark | Grok Build 0.1 | Mistral Large |
|---|---|---|
| GPQA Diamond | — | 51.3% |
| MMLU-Pro | — | 59.9% |
| Confabulations | — | 21.4% |
| Vectara Hallucination Rate | — | 4.5% |
| GPQA (HELM) | — | 43.5% |
| LMArena Expert | — | 1232 |
| MMLU | — | 80% |
Multilingual Not comparable
Grok Build 0.1: —, Mistral Large: 40.0 (#219)
| Benchmark | Grok Build 0.1 | Mistral Large |
|---|---|---|
| LMArena Non-English | — | 1237 |
| LMArena Chinese | — | 1240 |
| LMArena French | — | 1325 |
| LMArena German | — | 1254 |
| LMArena Japanese | — | 1188 |
| LMArena Korean | — | 1202 |
| LMArena Russian | — | 1257 |
| LMArena Spanish | — | 1268 |
Instruction Following Not comparable
Grok Build 0.1: —, Mistral Large: 67.9 (#191)
| Benchmark | Grok Build 0.1 | Mistral Large |
|---|---|---|
| LiveBench Instruction Following | — | 67.9% |
| IFEval | — | 87.7% |
| LMArena Instruction Following | — | 1249 |
Long Context Not comparable
Grok Build 0.1: —, Mistral Large: 38.3 (#199)
| Benchmark | Grok Build 0.1 | Mistral Large |
|---|---|---|
| LMArena Longer Query | — | 1261 |
Writing & Preference Not comparable
Grok Build 0.1: —, Mistral Large: 40.7 (#242)
| Benchmark | Grok Build 0.1 | Mistral Large |
|---|---|---|
| LMArena Text | — | 1266 |
| LMArena Creative Writing | — | 1243 |
| Short-Story Creative Writing | — | 69% |
| EQ-Bench Creative Writing | — | 985 |
| WildBench | — | 80.1% |
| LMArena Multi-Turn | — | 1260 |
| LiveBench Language | — | 39.4% |
Frequently asked questions
Is Grok Build 0.1 better than Mistral Large?
Grok Build 0.1 is the stronger model overall, scoring 36.4 to 31.9 on the Noometry Index.
Which is cheaper, Grok Build 0.1 or Mistral Large?
Grok Build 0.1 is cheaper. It lists at $1 per million input tokens and $2 per million output tokens; Mistral Large lists at $2 and $6.
Is Grok Build 0.1 or Mistral Large better for coding?
Grok Build 0.1 scores higher on coding benchmarks: 43.1 versus 34.3 in the Noometry coding category.
Which has the bigger context window?
Grok Build 0.1 does, with 256K tokens against 131K.
How many benchmarks do Grok Build 0.1 and Mistral Large share?
2 benchmarks have published results for both models. Grok Build 0.1 has 3 scored results on Noometry and Mistral Large has 51.