# Mercury 2.5 vs Mistral Large 3

> Mistral Large 3 has enough public results to be ranked (#172); Mercury 2.5 does not yet, so treat this comparison as directional.

- Canonical page: https://noometry.com/compare/mercury-2-5-vs-mistral-large-3
- Last updated: 2026-10-10
- Shared benchmarks: 0

## Summary

- The widest gap is in math, where Mistral Large 3 leads 36.0 to 22.4.
- Mercury 2.5 is cheaper at $0.04 / $0.15 per million input/output tokens, against $0.25 / $0.75 for Mistral Large 3.
- Mistral Large 3 accepts more context: 262K tokens versus 260K.
- Mistral Large 3 has downloadable open weights; the other is API-only.

## Snapshot

| | Mercury 2.5 | Mistral Large 3 |
|---|---|---|
| Provider | Inception | Mistral AI |
| Noometry Index | 30.2 | 38.6 |
| Rank | — | 172 |
| Context | 260K | 262K |
| Input $/M | $0.04 | $0.25 |
| Output $/M | $0.15 | $0.75 |
| Weights | Proprietary | Open |

## Coding

- Mercury 2.5: —
- Mistral Large 3: 34.1 (#230)

| Benchmark | Mercury 2.5 | Mistral Large 3 |
|---|---|---|
| LMArena WebDev | — | 1230 |
| LMArena Coding | — | 1447 |
| ALE-Bench | 301.65 | — |

## Reasoning

- Mercury 2.5: —
- Mistral Large 3: 14.6 (#314)

| Benchmark | Mercury 2.5 | Mistral Large 3 |
|---|---|---|
| Kagi LLM Benchmark | — | 50.9% |
| NYT Connections (extended) | — | 7.5% |
| Thematic Generalization | — | 23% |
| LMArena Hard Prompts | — | 1429 |

## Math

- Mercury 2.5: 22.4
- Mistral Large 3: 36.0 (#131)

| Benchmark | Mercury 2.5 | Mistral Large 3 |
|---|---|---|
| ProofBench | 3% | — |
| LMArena Math | — | 1415 |

## Knowledge

- Mercury 2.5: —
- Mistral Large 3: 35.5 (#173)

| Benchmark | Mercury 2.5 | Mistral Large 3 |
|---|---|---|
| Vectara Hallucination Rate | — | 14.5% |
| LMArena Expert | — | 1421 |

## Multimodal

- Mercury 2.5: —
- Mistral Large 3: 37.6 (#65)

| Benchmark | Mercury 2.5 | Mistral Large 3 |
|---|---|---|
| LMArena Vision | — | 1222 |

## Multilingual

- Mercury 2.5: —
- Mistral Large 3: 52.6 (#79)

| Benchmark | Mercury 2.5 | Mistral Large 3 |
|---|---|---|
| LMArena Non-English | — | 1412 |
| LMArena Chinese | — | 1448 |
| LMArena French | — | 1456 |
| LMArena German | — | 1438 |
| LMArena Japanese | — | 1399 |
| LMArena Korean | — | 1384 |
| LMArena Russian | — | 1412 |
| LMArena Spanish | — | 1437 |

## Instruction Following

- Mercury 2.5: —
- Mistral Large 3: 74.1 (#104)

| Benchmark | Mercury 2.5 | Mistral Large 3 |
|---|---|---|
| LMArena Instruction Following | — | 1402 |

## Long Context

- Mercury 2.5: —
- Mistral Large 3: 43.1 (#102)

| Benchmark | Mercury 2.5 | Mistral Large 3 |
|---|---|---|
| LMArena Longer Query | — | 1413 |

## Writing & Preference

- Mercury 2.5: —
- Mistral Large 3: 60.2 (#100)

| Benchmark | Mercury 2.5 | Mistral Large 3 |
|---|---|---|
| LMArena Text | — | 1427 |
| LMArena Creative Writing | — | 1385 |
| EQ-Bench Creative Writing | — | 1412 |
| LMArena Multi-Turn | — | 1429 |

## FAQ

### Is Mercury 2.5 better than Mistral Large 3?

Mistral Large 3 has enough public results to be ranked (#172); Mercury 2.5 does not yet, so treat this comparison as directional.

### Which is cheaper, Mercury 2.5 or Mistral Large 3?

Mercury 2.5 is cheaper. It lists at $0.04 per million input tokens and $0.15 per million output tokens; Mistral Large 3 lists at $0.25 and $0.75.

### Which has the bigger context window?

Mistral Large 3 does, with 262K tokens against 260K.

### How many benchmarks do Mercury 2.5 and Mistral Large 3 share?

0 benchmarks have published results for both models. Mercury 2.5 has 2 scored results on Noometry and Mistral Large 3 has 24.