# Mistral Large 3 vs Qwen2.5 7B Instruct

> Mistral Large 3 is the stronger model overall, scoring 38.6 to 28.6 on the Noometry Index.

- Canonical page: https://noometry.com/compare/mistral-large-3-vs-qwen2-5-7b-instruct
- Last updated: 2026-10-10
- Shared benchmarks: 0

## Summary

- The widest gap is in math, where Mistral Large 3 leads 36.0 to 11.8.
- Qwen2.5 7B Instruct is cheaper at $0.17 / $0.70 per million input/output tokens, against $0.25 / $0.75 for Mistral Large 3.
- Mistral Large 3 accepts more context: 262K tokens versus 131K.

## Snapshot

| | Mistral Large 3 | Qwen2.5 7B Instruct |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 38.6 | 28.6 |
| Rank | 172 | 314 |
| Context | 262K | 131K |
| Input $/M | $0.25 | $0.17 |
| Output $/M | $0.75 | $0.70 |
| Weights | Open | Open |

## Coding

- Mistral Large 3: 34.1 (#230)
- Qwen2.5 7B Instruct: 35.9 (#204)

| Benchmark | Mistral Large 3 | Qwen2.5 7B Instruct |
|---|---|---|
| LMArena WebDev | 1230 | — |
| BigCodeBench Instruct | — | 37.6% |
| LMArena Coding | 1447 | — |
| BigCodeBench Complete | — | 46.1% |

## Agentic & Tool Use

- Mistral Large 3: —
- Qwen2.5 7B Instruct: 23.5 (#117)

| Benchmark | Mistral Large 3 | Qwen2.5 7B Instruct |
|---|---|---|
| BALROG | — | 7.8% |

## Reasoning

- Mistral Large 3: 14.6 (#314)
- Qwen2.5 7B Instruct: 14.3 (#317)

| Benchmark | Mistral Large 3 | Qwen2.5 7B Instruct |
|---|---|---|
| Kagi LLM Benchmark | 50.9% | — |
| NYT Connections (extended) | 7.5% | — |
| Chess Puzzles | — | 0% |
| Thematic Generalization | 23% | — |
| LMArena Hard Prompts | 1429 | — |
| DTBench | — | 47.7% |
| LMCA | — | 6.4% |
| Epoch Capabilities Index | — | 118.44 |

## Math

- Mistral Large 3: 36.0 (#131)
- Qwen2.5 7B Instruct: 11.8 (#300)

| Benchmark | Mistral Large 3 | Qwen2.5 7B Instruct |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 2.5% |
| Omni-MATH | — | 29.4% |
| LMArena Math | 1415 | — |

## Knowledge

- Mistral Large 3: 35.5 (#173)
- Qwen2.5 7B Instruct: 17.0 (#281)

| Benchmark | Mistral Large 3 | Qwen2.5 7B Instruct |
|---|---|---|
| GPQA Diamond | — | 35.5% |
| MMLU-Pro | — | 53.9% |
| Vectara Hallucination Rate | 14.5% | — |
| GPQA (HELM) | — | 34.1% |
| LMArena Expert | 1421 | — |
| MMLU | — | 72.9% |

## Multimodal

- Mistral Large 3: 37.6 (#65)
- Qwen2.5 7B Instruct: —

| Benchmark | Mistral Large 3 | Qwen2.5 7B Instruct |
|---|---|---|
| LMArena Vision | 1222 | — |

## Multilingual

- Mistral Large 3: 52.6 (#79)
- Qwen2.5 7B Instruct: —

| Benchmark | Mistral Large 3 | Qwen2.5 7B Instruct |
|---|---|---|
| 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

- Mistral Large 3: 74.1 (#104)
- Qwen2.5 7B Instruct: 63.4 (#226)

| Benchmark | Mistral Large 3 | Qwen2.5 7B Instruct |
|---|---|---|
| IFEval | — | 74.1% |
| LMArena Instruction Following | 1402 | — |

## Long Context

- Mistral Large 3: 43.1 (#102)
- Qwen2.5 7B Instruct: —

| Benchmark | Mistral Large 3 | Qwen2.5 7B Instruct |
|---|---|---|
| LMArena Longer Query | 1413 | — |

## Writing & Preference

- Mistral Large 3: 60.2 (#100)
- Qwen2.5 7B Instruct: 48.8 (#194)

| Benchmark | Mistral Large 3 | Qwen2.5 7B Instruct |
|---|---|---|
| LMArena Text | 1427 | — |
| LMArena Creative Writing | 1385 | — |
| EQ-Bench Creative Writing | 1412 | — |
| WildBench | — | 73.1% |
| LMArena Multi-Turn | 1429 | — |

## FAQ

### Is Mistral Large 3 better than Qwen2.5 7B Instruct?

Mistral Large 3 is the stronger model overall, scoring 38.6 to 28.6 on the Noometry Index.

### Which is cheaper, Mistral Large 3 or Qwen2.5 7B Instruct?

Qwen2.5 7B Instruct is cheaper. It lists at $0.17 per million input tokens and $0.70 per million output tokens; Mistral Large 3 lists at $0.25 and $0.75.

### Is Mistral Large 3 or Qwen2.5 7B Instruct better for coding?

Qwen2.5 7B Instruct scores higher on coding benchmarks: 35.9 versus 34.1 in the Noometry coding category.

### Which has the bigger context window?

Mistral Large 3 does, with 262K tokens against 131K.

### How many benchmarks do Mistral Large 3 and Qwen2.5 7B Instruct share?

0 benchmarks have published results for both models. Mistral Large 3 has 24 scored results on Noometry and Qwen2.5 7B Instruct has 15.