# Mercury 2 vs Mistral Large

> Mercury 2 is the stronger model overall, scoring 39.1 to 31.9 on the Noometry Index.

- Canonical page: https://noometry.com/compare/mercury-2-vs-mistral-large
- Last updated: 2026-10-10
- Shared benchmarks: 15

## Summary

- They share 15 benchmarks with published results for both. Mercury 2 scores higher in 6 categories and Mistral Large in 1 category; 6 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Mercury 2 leads 53.8 to 40.7.
- The biggest single-benchmark swing is Vectara Hallucination Rate: 12.3% for Mercury 2 and 4.5% for Mistral Large.
- Mercury 2 is cheaper at $0.25 / $0.75 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

| | Mercury 2 | Mistral Large |
|---|---|---|
| Provider | Inception | Mistral AI |
| Noometry Index | 39.1 | 31.9 |
| Rank | 175 | 263 |
| Context | 128K | 131K |
| Input $/M | $0.25 | $2 |
| Output $/M | $0.75 | $6 |
| Weights | Proprietary | Open |

## Coding

- Mercury 2: 33.5 (#255)
- Mistral Large: 34.3 (#240)

| Benchmark | Mercury 2 | Mistral Large |
|---|---|---|
| SciCode | 38.7% | 36.2% |
| LMArena Coding | 1391 | 1277 |
| ALE-Bench | 785.58 | 264.7 |
| LMArena WebDev | 1171 | — |
| WeirdML | 43.2% | — |
| BigCodeBench Instruct | — | 30% |
| LiveBench Coding | — | 47.1% |
| BigCodeBench Complete | — | 38.3% |
| HumanEval+ | — | 62.2% |
| MBPP+ | — | 59.5% |

## Agentic & Tool Use

- Mercury 2: —
- Mistral Large: 28.6 (#89)

| Benchmark | Mercury 2 | Mistral Large |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 38.4% |

## Reasoning

- Mercury 2: 23.8 (#170)
- Mistral Large: 15.8 (#310)

| Benchmark | Mercury 2 | Mistral Large |
|---|---|---|
| CritPt | 0.8% | 0% |
| LMArena Hard Prompts | 1362 | 1257 |
| SimpleBench | — | 22.5% |
| 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 2: —
- Mistral Large: 18.2 (#291)

| Benchmark | Mercury 2 | 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 2: 36.2 (#172)
- Mistral Large: 30.1 (#230)

| Benchmark | Mercury 2 | Mistral Large |
|---|---|---|
| Vectara Hallucination Rate | 12.3% | 4.5% |
| LMArena Expert | 1358 | 1232 |
| GPQA Diamond | — | 51.3% |
| MMLU-Pro | — | 59.9% |
| Confabulations | — | 21.4% |
| GPQA (HELM) | — | 43.5% |
| MMLU | — | 80% |

## Multilingual

- Mercury 2: 46.6 (#157)
- Mistral Large: 40.0 (#219)

| Benchmark | Mercury 2 | Mistral Large |
|---|---|---|
| LMArena Non-English | 1331 | 1237 |
| LMArena Chinese | 1417 | 1240 |
| LMArena Russian | 1304 | 1257 |
| LMArena French | — | 1325 |
| LMArena German | — | 1254 |
| LMArena Japanese | — | 1188 |
| LMArena Korean | — | 1202 |
| LMArena Spanish | — | 1268 |

## Instruction Following

- Mercury 2: 70.2 (#165)
- Mistral Large: 67.9 (#191)

| Benchmark | Mercury 2 | Mistral Large |
|---|---|---|
| LMArena Instruction Following | 1329 | 1249 |
| LiveBench Instruction Following | — | 67.9% |
| IFEval | — | 87.7% |

## Long Context

- Mercury 2: 40.5 (#154)
- Mistral Large: 38.3 (#199)

| Benchmark | Mercury 2 | Mistral Large |
|---|---|---|
| LMArena Longer Query | 1330 | 1261 |

## Writing & Preference

- Mercury 2: 53.8 (#155)
- Mistral Large: 40.7 (#242)

| Benchmark | Mercury 2 | Mistral Large |
|---|---|---|
| LMArena Text | 1355 | 1266 |
| LMArena Creative Writing | 1289 | 1243 |
| LMArena Multi-Turn | 1358 | 1260 |
| Short-Story Creative Writing | — | 69% |
| EQ-Bench Creative Writing | — | 985 |
| WildBench | — | 80.1% |
| LiveBench Language | — | 39.4% |

## FAQ

### Is Mercury 2 better than Mistral Large?

Mercury 2 is the stronger model overall, scoring 39.1 to 31.9 on the Noometry Index.

### Which is cheaper, Mercury 2 or Mistral Large?

Mercury 2 is cheaper. It lists at $0.25 per million input tokens and $0.75 per million output tokens; Mistral Large lists at $2 and $6.

### Is Mercury 2 or Mistral Large better for coding?

They score almost the same on coding (33.5 vs 34.3); 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 Mercury 2 and Mistral Large share?

15 benchmarks have published results for both models. Mercury 2 has 17 scored results on Noometry and Mistral Large has 51.