# Mercury vs Mistral Large

> Mercury is the stronger model overall, scoring 37.3 to 31.6 on the Noometry Index.

- Canonical page: https://noometry.com/compare/mercury-vs-mistral-large
- Last updated: 2026-10-10
- Shared benchmarks: 8

## Summary

- They share 8 benchmarks with published results for both. Mercury scores higher in 5 categories and Mistral Large in 1 category; 5 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Mercury leads 46.2 to 40.9.
- Mistral Large has downloadable open weights; the other is API-only.

## Snapshot

| | Mercury | Mistral Large |
|---|---|---|
| Provider | Inception | Mistral AI |
| Noometry Index | 37.3 | 31.6 |
| Rank | 192 | 258 |
| Context | — | 131K |
| Input $/M | — | $2 |
| Output $/M | — | $6 |
| Weights | Proprietary | Open |

## Coding

- Mercury: 38.1 (#164)
- Mistral Large: 33.8 (#240)

| Benchmark | Mercury | Mistral Large |
|---|---|---|
| LMArena Coding | 1323 | 1277 |
| SciCode | — | 36.2% |
| BigCodeBench Instruct | — | 30% |
| LiveBench Coding | — | 47.1% |
| BigCodeBench Complete | — | 38.3% |
| ALE-Bench | — | 264.7 |
| HumanEval+ | — | 62.2% |
| MBPP+ | — | 59.5% |

## Agentic & Tool Use

- Mercury: —
- Mistral Large: 28.4 (#83)

| Benchmark | Mercury | Mistral Large |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 38.4% |

## Reasoning

- Mercury: 16.8 (#288)
- Mistral Large: 15.4 (#305)

| Benchmark | Mercury | Mistral Large |
|---|---|---|
| LMArena Hard Prompts | 1284 | 1257 |
| SimpleBench | — | 22.5% |
| Kagi LLM Benchmark | 21.6% | — |
| CritPt | — | 0% |
| LiveBench Reasoning | — | 43.5% |
| DTBench | — | 65.1% |
| LiveBench Data Analysis | — | 50.1% |
| LMCA | — | 16.7% |
| Epoch Capabilities Index | — | 128.52 |
| ForecastBench | — | 57.1 |
| LiveBench | — | 48.4% |

## Math

- Mercury: —
- Mistral Large: 17.1 (#285)

| Benchmark | Mercury | 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

- Mercury: —
- Mistral Large: 30.0 (#224)

| Benchmark | Mercury | 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

- Mercury: 41.7 (#201)
- Mistral Large: 40.1 (#214)

| Benchmark | Mercury | Mistral Large |
|---|---|---|
| LMArena Non-English | 1259 | 1237 |
| LMArena Chinese | — | 1240 |
| LMArena French | — | 1324 |
| LMArena German | — | 1254 |
| LMArena Japanese | — | 1187 |
| LMArena Korean | — | 1202 |
| LMArena Russian | — | 1257 |
| LMArena Spanish | — | 1268 |

## Instruction Following

- Mercury: 65.3 (#220)
- Mistral Large: 68.1 (#186)

| Benchmark | Mercury | Mistral Large |
|---|---|---|
| LMArena Instruction Following | 1238 | 1249 |
| LiveBench Instruction Following | — | 67.9% |
| IFEval | — | 87.7% |

## Long Context

- Mercury: 38.3 (#193)
- Mistral Large: 38.3 (#194)

| Benchmark | Mercury | Mistral Large |
|---|---|---|
| LMArena Longer Query | 1264 | 1262 |

## Writing & Preference

- Mercury: 46.2 (#216)
- Mistral Large: 40.9 (#237)

| Benchmark | Mercury | Mistral Large |
|---|---|---|
| LMArena Text | 1282 | 1266 |
| LMArena Creative Writing | 1186 | 1243 |
| LMArena Multi-Turn | 1283 | 1260 |
| Short-Story Creative Writing | — | 69% |
| EQ-Bench Creative Writing | — | 985 |
| WildBench | — | 80.1% |
| LiveBench Language | — | 39.4% |

## FAQ

### Is Mercury better than Mistral Large?

Mercury is the stronger model overall, scoring 37.3 to 31.6 on the Noometry Index.

### Is Mercury or Mistral Large better for coding?

Mercury scores higher on coding benchmarks: 38.1 versus 33.8 in the Noometry coding category.

### How many benchmarks do Mercury and Mistral Large share?

8 benchmarks have published results for both models. Mercury has 9 scored results on Noometry and Mistral Large has 51.