# Gemini 1.0 Pro vs Mistral Large

> Mistral Large is the stronger model overall, scoring 31.6 to 27.1 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gemini-1-0-pro-vs-mistral-large
- Last updated: 2026-10-10
- Shared benchmarks: 24

## Summary

- They share 24 benchmarks with published results for both. Gemini 1.0 Pro scores higher in 1 category and Mistral Large in 7 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Mistral Large leads 30.0 to 15.5.
- The biggest single-benchmark swing is MATH Level 5: 11.2% for Gemini 1.0 Pro and 50.3% for Mistral Large.
- Mistral Large has downloadable open weights; the other is API-only.

## Snapshot

| | Gemini 1.0 Pro | Mistral Large |
|---|---|---|
| Provider | Google | Mistral AI |
| Noometry Index | 27.1 | 31.6 |
| Rank | 327 | 258 |
| Context | — | 131K |
| Input $/M | — | $2 |
| Output $/M | — | $6 |
| Weights | Proprietary | Open |

## Coding

- Gemini 1.0 Pro: 31.6 (#270)
- Mistral Large: 33.8 (#240)

| Benchmark | Gemini 1.0 Pro | Mistral Large |
|---|---|---|
| LMArena Coding | 1108 | 1277 |
| HumanEval+ | 55.5% | 62.2% |
| MBPP+ | 61.4% | 59.5% |
| SciCode | — | 36.2% |
| BigCodeBench Instruct | — | 30% |
| LiveBench Coding | — | 47.1% |
| BigCodeBench Complete | — | 38.3% |
| ALE-Bench | — | 264.7 |

## Agentic & Tool Use

- Gemini 1.0 Pro: —
- Mistral Large: 28.4 (#83)

| Benchmark | Gemini 1.0 Pro | Mistral Large |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 38.4% |

## Reasoning

- Gemini 1.0 Pro: 16.4 (#292)
- Mistral Large: 15.4 (#305)

| Benchmark | Gemini 1.0 Pro | Mistral Large |
|---|---|---|
| LMArena Hard Prompts | 1109 | 1257 |
| DTBench | 45.9% | 65.1% |
| Epoch Capabilities Index | 116.97 | 128.52 |
| SimpleBench | — | 22.5% |
| CritPt | — | 0% |
| LiveBench Reasoning | — | 43.5% |
| LiveBench Data Analysis | — | 50.1% |
| LMCA | — | 16.7% |
| ForecastBench | — | 57.1 |
| LiveBench | — | 48.4% |

## Math

- Gemini 1.0 Pro: 8.7 (#315)
- Mistral Large: 17.1 (#285)

| Benchmark | Gemini 1.0 Pro | Mistral Large |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 1.1% | 8.5% |
| LMArena Math | 1132 | 1262 |
| MATH Level 5 | 11.2% | 50.3% |
| Omni-MATH | — | 28.1% |
| LiveBench Math | — | 42.5% |
| FrontierMath (Feb 2025 set) | — | 0.3% |

## Knowledge

- Gemini 1.0 Pro: 15.5 (#286)
- Mistral Large: 30.0 (#224)

| Benchmark | Gemini 1.0 Pro | Mistral Large |
|---|---|---|
| GPQA Diamond | 34% | 51.3% |
| LMArena Expert | 1059 | 1232 |
| MMLU | 70% | 80% |
| MMLU-Pro | — | 59.9% |
| Confabulations | — | 21.4% |
| Vectara Hallucination Rate | — | 4.5% |
| GPQA (HELM) | — | 43.5% |

## Multilingual

- Gemini 1.0 Pro: 33.5 (#247)
- Mistral Large: 40.1 (#214)

| Benchmark | Gemini 1.0 Pro | Mistral Large |
|---|---|---|
| LMArena Non-English | 1138 | 1237 |
| LMArena Chinese | 1124 | 1240 |
| LMArena French | 1144 | 1324 |
| LMArena German | 1125 | 1254 |
| LMArena Japanese | 1023 | 1187 |
| LMArena Russian | 1186 | 1257 |
| LMArena Spanish | 1118 | 1268 |
| LMArena Korean | — | 1202 |

## Instruction Following

- Gemini 1.0 Pro: 57.9 (#262)
- Mistral Large: 68.1 (#186)

| Benchmark | Gemini 1.0 Pro | Mistral Large |
|---|---|---|
| LMArena Instruction Following | 1114 | 1249 |
| LiveBench Instruction Following | — | 67.9% |
| IFEval | — | 87.7% |

## Long Context

- Gemini 1.0 Pro: 34.3 (#244)
- Mistral Large: 38.3 (#194)

| Benchmark | Gemini 1.0 Pro | Mistral Large |
|---|---|---|
| LMArena Longer Query | 1132 | 1262 |

## Writing & Preference

- Gemini 1.0 Pro: 36.2 (#259)
- Mistral Large: 40.9 (#237)

| Benchmark | Gemini 1.0 Pro | Mistral Large |
|---|---|---|
| LMArena Text | 1149 | 1266 |
| LMArena Creative Writing | 1130 | 1243 |
| LMArena Multi-Turn | 1139 | 1260 |
| Short-Story Creative Writing | — | 69% |
| EQ-Bench Creative Writing | — | 985 |
| WildBench | — | 80.1% |
| LiveBench Language | — | 39.4% |

## FAQ

### Is Gemini 1.0 Pro better than Mistral Large?

Mistral Large is the stronger model overall, scoring 31.6 to 27.1 on the Noometry Index.

### Is Gemini 1.0 Pro or Mistral Large better for coding?

Mistral Large scores higher on coding benchmarks: 33.8 versus 31.6 in the Noometry coding category.

### How many benchmarks do Gemini 1.0 Pro and Mistral Large share?

24 benchmarks have published results for both models. Gemini 1.0 Pro has 24 scored results on Noometry and Mistral Large has 51.