# Gemini 1.5 Pro (May 2024) vs Mistral Large

> Gemini 1.5 Pro (May 2024) and Mistral Large score almost the same on the Noometry Index (32.1 vs 31.9), so choose on price, context window or the category you care about most.

- Canonical page: https://noometry.com/compare/gemini-1-5-pro-vs-mistral-large
- Last updated: 2026-10-10
- Shared benchmarks: 35

## Summary

- They share 35 benchmarks with published results for both. Gemini 1.5 Pro (May 2024) scores higher in 5 categories and Mistral Large in 4 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Gemini 1.5 Pro (May 2024) leads 52.4 to 40.7.
- The biggest single-benchmark swing is MATH Level 5: 70.4% for Gemini 1.5 Pro (May 2024) and 50.3% for Mistral Large.
- Mistral Large has downloadable open weights; the other is API-only.

## Snapshot

| | Gemini 1.5 Pro (May 2024) | Mistral Large |
|---|---|---|
| Provider | Google | Mistral AI |
| Noometry Index | 32.1 | 31.9 |
| Rank | 261 | 263 |
| Context | — | 131K |
| Input $/M | — | $2 |
| Output $/M | — | $6 |
| Weights | Proprietary | Open |

## Coding

- Gemini 1.5 Pro (May 2024): 34.2 (#241)
- Mistral Large: 34.3 (#240)

| Benchmark | Gemini 1.5 Pro (May 2024) | Mistral Large |
|---|---|---|
| BigCodeBench Instruct | 43.8% | 30% |
| LMArena Coding | 1294 | 1277 |
| BigCodeBench Complete | 57.5% | 38.3% |
| HumanEval+ | 79.3% | 62.2% |
| MBPP+ | 74.6% | 59.5% |
| SciCode | — | 36.2% |
| WeirdML | 22.2% | — |
| LiveBench Coding | — | 47.1% |
| CadEval | 34% | — |
| ALE-Bench | — | 264.7 |

## Agentic & Tool Use

- Gemini 1.5 Pro (May 2024): 17.9 (#145)
- Mistral Large: 28.6 (#89)

| Benchmark | Gemini 1.5 Pro (May 2024) | Mistral Large |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 38.4% |
| TheAgentCompany | 3.4% | — |
| Cybench | 7.5% | — |
| BALROG | 21% | — |

## Reasoning

- Gemini 1.5 Pro (May 2024): 12.3 (#338)
- Mistral Large: 15.8 (#310)

| Benchmark | Gemini 1.5 Pro (May 2024) | Mistral Large |
|---|---|---|
| SimpleBench | 27.1% | 22.5% |
| LMArena Hard Prompts | 1296 | 1257 |
| DTBench | 59% | 65.1% |
| Epoch Capabilities Index | 131.73 | 128.52 |
| ForecastBench | 58.4 | 57.1 |
| ARC-AGI-2 | 0.8% | — |
| CritPt | — | 0% |
| LiveBench Reasoning | — | 43.5% |
| LiveBench Data Analysis | — | 50.1% |
| LMCA | — | 16.7% |
| BIG-Bench Hard | 89.2% | — |
| LiveBench | — | 48.4% |

## Math

- Gemini 1.5 Pro (May 2024): 25.8 (#266)
- Mistral Large: 18.2 (#291)

| Benchmark | Gemini 1.5 Pro (May 2024) | Mistral Large |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 23.1% | 8.5% |
| Omni-MATH | 36.4% | 28.1% |
| LMArena Math | 1315 | 1262 |
| MATH Level 5 | 70.4% | 50.3% |
| LiveBench Math | — | 42.5% |
| FrontierMath (Feb 2025 set) | — | 0.3% |

## Knowledge

- Gemini 1.5 Pro (May 2024): 29.4 (#239)
- Mistral Large: 30.1 (#230)

| Benchmark | Gemini 1.5 Pro (May 2024) | Mistral Large |
|---|---|---|
| GPQA Diamond | 57.2% | 51.3% |
| MMLU-Pro | 73.7% | 59.9% |
| Confabulations | 13.5% | 21.4% |
| GPQA (HELM) | 53.4% | 43.5% |
| LMArena Expert | 1279 | 1232 |
| MMLU | 86.9% | 80% |
| Humanity's Last Exam | 4.6% | — |
| Vectara Hallucination Rate | — | 4.5% |

## Multimodal

- Gemini 1.5 Pro (May 2024): 36.8 (#77)
- Mistral Large: —

| Benchmark | Gemini 1.5 Pro (May 2024) | Mistral Large |
|---|---|---|
| LMArena Vision | 1161 | — |
| Video-MME | 75% | — |

## Multilingual

- Gemini 1.5 Pro (May 2024): 45.3 (#174)
- Mistral Large: 40.0 (#219)

| Benchmark | Gemini 1.5 Pro (May 2024) | Mistral Large |
|---|---|---|
| LMArena Non-English | 1312 | 1237 |
| LMArena Chinese | 1331 | 1240 |
| LMArena French | 1302 | 1325 |
| LMArena German | 1286 | 1254 |
| LMArena Japanese | 1292 | 1188 |
| LMArena Korean | 1298 | 1202 |
| LMArena Russian | 1320 | 1257 |
| LMArena Spanish | 1311 | 1268 |

## Instruction Following

- Gemini 1.5 Pro (May 2024): 68.6 (#185)
- Mistral Large: 67.9 (#191)

| Benchmark | Gemini 1.5 Pro (May 2024) | Mistral Large |
|---|---|---|
| IFEval | 83.7% | 87.7% |
| LMArena Instruction Following | 1297 | 1249 |
| LiveBench Instruction Following | — | 67.9% |

## Long Context

- Gemini 1.5 Pro (May 2024): 39.8 (#169)
- Mistral Large: 38.3 (#199)

| Benchmark | Gemini 1.5 Pro (May 2024) | Mistral Large |
|---|---|---|
| LMArena Longer Query | 1308 | 1261 |

## Writing & Preference

- Gemini 1.5 Pro (May 2024): 52.4 (#172)
- Mistral Large: 40.7 (#242)

| Benchmark | Gemini 1.5 Pro (May 2024) | Mistral Large |
|---|---|---|
| LMArena Text | 1319 | 1266 |
| LMArena Creative Writing | 1333 | 1243 |
| WildBench | 81.3% | 80.1% |
| LMArena Multi-Turn | 1296 | 1260 |
| Short-Story Creative Writing | — | 69% |
| EQ-Bench Creative Writing | — | 985 |
| LiveBench Language | — | 39.4% |

## FAQ

### Is Gemini 1.5 Pro (May 2024) better than Mistral Large?

Gemini 1.5 Pro (May 2024) and Mistral Large score almost the same on the Noometry Index (32.1 vs 31.9), so choose on price, context window or the category you care about most.

### Is Gemini 1.5 Pro (May 2024) or Mistral Large better for coding?

They score almost the same on coding (34.2 vs 34.3); test both on your own repository before choosing.

### How many benchmarks do Gemini 1.5 Pro (May 2024) and Mistral Large share?

35 benchmarks have published results for both models. Gemini 1.5 Pro (May 2024) has 45 scored results on Noometry and Mistral Large has 51.