# Grok 4.1 Fast vs Mistral Large

> Grok 4.1 Fast is the stronger model overall, scoring 40.9 to 31.6 on the Noometry Index.

- Canonical page: https://noometry.com/compare/grok-4-1-fast-vs-mistral-large
- Last updated: 2026-10-10
- Shared benchmarks: 24

## Summary

- They share 24 benchmarks with published results for both. Grok 4.1 Fast scores higher in 9 categories and Mistral Large in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Grok 4.1 Fast leads 42.3 to 15.4.
- The biggest single-benchmark swing is SimpleBench: 56% for Grok 4.1 Fast and 22.5% for Mistral Large.
- Grok 4.1 Fast is cheaper at $0.20 / $0.50 per million input/output tokens, against $2 / $6 for Mistral Large.
- Mistral Large accepts more context: 131K tokens versus 128K.
- Mistral Large has downloadable open weights; the other is API-only.

## Snapshot

| | Grok 4.1 Fast | Mistral Large |
|---|---|---|
| Provider | xAI | Mistral AI |
| Noometry Index | 40.9 | 31.6 |
| Rank | 131 | 258 |
| Context | 128K | 131K |
| Input $/M | $0.20 | $2 |
| Output $/M | $0.50 | $6 |
| Weights | Proprietary | Open |

## Coding

- Grok 4.1 Fast: 33.8 (#236)
- Mistral Large: 33.8 (#240)

| Benchmark | Grok 4.1 Fast | Mistral Large |
|---|---|---|
| LMArena Coding | 1411 | 1277 |
| ALE-Bench | 394.93 | 264.7 |
| LMArena WebDev | 1241 | — |
| SciCode | — | 36.2% |
| BigCodeBench Instruct | — | 30% |
| LiveBench Coding | — | 47.1% |
| BigCodeBench Complete | — | 38.3% |
| HumanEval+ | — | 62.2% |
| MBPP+ | — | 59.5% |

## Agentic & Tool Use

- Grok 4.1 Fast: 36.1 (#35)
- Mistral Large: 28.4 (#83)

| Benchmark | Grok 4.1 Fast | Mistral Large |
|---|---|---|
| Berkeley Function Calling Leaderboard | 69.6% | 38.4% |
| τ²-bench Banking | 13.1% | — |
| LMArena Search | 1171 | — |
| Vending-Bench 2 | 1,107 | — |

## Reasoning

- Grok 4.1 Fast: 42.3 (#45)
- Mistral Large: 15.4 (#305)

| Benchmark | Grok 4.1 Fast | Mistral Large |
|---|---|---|
| SimpleBench | 56% | 22.5% |
| LMArena Hard Prompts | 1407 | 1257 |
| DTBench | 87.7% | 65.1% |
| ForecastBench | 61 | 57.1 |
| NYT Connections (extended) | 87.4% | — |
| CritPt | — | 0% |
| LiveBench Reasoning | — | 43.5% |
| LiveBench Data Analysis | — | 50.1% |
| LMCA | — | 16.7% |
| Epoch Capabilities Index | — | 128.52 |
| LiveBench | — | 48.4% |

## Math

- Grok 4.1 Fast: 30.9 (#201)
- Mistral Large: 17.1 (#285)

| Benchmark | Grok 4.1 Fast | Mistral Large |
|---|---|---|
| LMArena Math | 1408 | 1262 |
| MathArena Final-Answer Competitions | 60.9% | — |
| OTIS Mock AIME 2024-2025 | — | 8.5% |
| ProofBench | 4% | — |
| Omni-MATH | — | 28.1% |
| LiveBench Math | — | 42.5% |
| MATH Level 5 | — | 50.3% |
| FrontierMath (Feb 2025 set) | — | 0.3% |

## Knowledge

- Grok 4.1 Fast: 32.6 (#203)
- Mistral Large: 30.0 (#224)

| Benchmark | Grok 4.1 Fast | Mistral Large |
|---|---|---|
| Vectara Hallucination Rate | 17.8% | 4.5% |
| LMArena Expert | 1398 | 1232 |
| GPQA Diamond | — | 51.3% |
| MMLU-Pro | — | 59.9% |
| Confabulations | — | 21.4% |
| GPQA (HELM) | — | 43.5% |
| MMLU | — | 80% |

## Multimodal

- Grok 4.1 Fast: 36.3 (#71)
- Mistral Large: —

| Benchmark | Grok 4.1 Fast | Mistral Large |
|---|---|---|
| LMArena Vision | 1201 | — |

## Multilingual

- Grok 4.1 Fast: 51.1 (#110)
- Mistral Large: 40.1 (#214)

| Benchmark | Grok 4.1 Fast | Mistral Large |
|---|---|---|
| LMArena Non-English | 1391 | 1237 |
| LMArena Chinese | 1441 | 1240 |
| LMArena French | 1416 | 1324 |
| LMArena German | 1404 | 1254 |
| LMArena Japanese | 1347 | 1187 |
| LMArena Korean | 1361 | 1202 |
| LMArena Russian | 1387 | 1257 |
| LMArena Spanish | 1411 | 1268 |

## Instruction Following

- Grok 4.1 Fast: 72.8 (#127)
- Mistral Large: 68.1 (#186)

| Benchmark | Grok 4.1 Fast | Mistral Large |
|---|---|---|
| LMArena Instruction Following | 1376 | 1249 |
| LiveBench Instruction Following | — | 67.9% |
| IFEval | — | 87.7% |

## Long Context

- Grok 4.1 Fast: 42.4 (#121)
- Mistral Large: 38.3 (#194)

| Benchmark | Grok 4.1 Fast | Mistral Large |
|---|---|---|
| LMArena Longer Query | 1390 | 1262 |

## Writing & Preference

- Grok 4.1 Fast: 57.4 (#126)
- Mistral Large: 40.9 (#237)

| Benchmark | Grok 4.1 Fast | Mistral Large |
|---|---|---|
| LMArena Text | 1408 | 1266 |
| LMArena Creative Writing | 1394 | 1243 |
| EQ-Bench Creative Writing | 1327 | 985 |
| LMArena Multi-Turn | 1389 | 1260 |
| Short-Story Creative Writing | — | 69% |
| WildBench | — | 80.1% |
| LiveBench Language | — | 39.4% |

## FAQ

### Is Grok 4.1 Fast better than Mistral Large?

Grok 4.1 Fast is the stronger model overall, scoring 40.9 to 31.6 on the Noometry Index.

### Which is cheaper, Grok 4.1 Fast or Mistral Large?

Grok 4.1 Fast is cheaper. It lists at $0.20 per million input tokens and $0.50 per million output tokens; Mistral Large lists at $2 and $6.

### Is Grok 4.1 Fast or Mistral Large better for coding?

They score almost the same on coding (33.8 vs 33.8); test both on your own repository before choosing.

### Which has the bigger context window?

Mistral Large does, with 131K tokens against 128K.

### How many benchmarks do Grok 4.1 Fast and Mistral Large share?

24 benchmarks have published results for both models. Grok 4.1 Fast has 32 scored results on Noometry and Mistral Large has 51.