# Mistral Large 3 vs Qwen3.7 Max

> Qwen3.7 Max is the stronger model overall, scoring 51.4 to 38.6 on the Noometry Index. Mistral Large 3 costs 10× less per token, which makes it the better buy when Qwen3.7 Max's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/mistral-large-3-vs-qwen3-7-max
- Last updated: 2026-10-10
- Shared benchmarks: 14

## Summary

- They share 14 benchmarks with published results for both. Mistral Large 3 scores higher in 0 categories and Qwen3.7 Max in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Qwen3.7 Max leads 48.4 to 14.6.
- The biggest single-benchmark swing is NYT Connections (extended): 7.5% for Mistral Large 3 and 85.1% for Qwen3.7 Max.
- Mistral Large 3 is cheaper at $0.25 / $0.75 per million input/output tokens, against $2.50 / $7.50 for Qwen3.7 Max.
- Qwen3.7 Max accepts more context: 1M tokens versus 262K.
- Mistral Large 3 has downloadable open weights; the other is API-only.

## Snapshot

| | Mistral Large 3 | Qwen3.7 Max |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 38.6 | 51.4 |
| Rank | 172 | 35 |
| Context | 262K | 1M |
| Input $/M | $0.25 | $2.50 |
| Output $/M | $0.75 | $7.50 |
| Weights | Open | Proprietary |

## Coding

- Mistral Large 3: 34.1 (#230)
- Qwen3.7 Max: 50.2 (#43)

| Benchmark | Mistral Large 3 | Qwen3.7 Max |
|---|---|---|
| LMArena WebDev | 1230 | 1515 |
| LMArena Coding | 1447 | 1498 |
| SWE-bench Verified | — | 77.3% |
| SciCode | — | 48.8% |
| ALE-Bench | — | 1,189 |

## Agentic & Tool Use

- Mistral Large 3: —
- Qwen3.7 Max: 21.8 (#129)

| Benchmark | Mistral Large 3 | Qwen3.7 Max |
|---|---|---|
| GBAEval | — | 0.4% |

## Reasoning

- Mistral Large 3: 14.6 (#314)
- Qwen3.7 Max: 48.4 (#36)

| Benchmark | Mistral Large 3 | Qwen3.7 Max |
|---|---|---|
| NYT Connections (extended) | 7.5% | 85.1% |
| LMArena Hard Prompts | 1429 | 1483 |
| SimpleBench | — | 70.4% |
| Kagi LLM Benchmark | 50.9% | — |
| CritPt | — | 13.4% |
| Chess Puzzles | — | 19% |
| Thematic Generalization | 23% | — |
| EBR-Bench | — | 9.5% |
| Mystery Game Puzzles | — | 32% |
| DTBench | — | 92.3% |
| LMCA | — | 44% |
| Epoch Capabilities Index | — | 153.74 |

## Math

- Mistral Large 3: 36.0 (#131)
- Qwen3.7 Max: 62.3 (#26)

| Benchmark | Mistral Large 3 | Qwen3.7 Max |
|---|---|---|
| LMArena Math | 1415 | 1488 |
| FrontierMath (Tiers 1-3) | — | 64.6% |
| FrontierMath Tier 4 | — | 34.1% |
| OTIS Mock AIME 2024-2025 | — | 95.6% |
| ProofBench | — | 26% |

## Knowledge

- Mistral Large 3: 35.5 (#173)
- Qwen3.7 Max: 61.7 (#24)

| Benchmark | Mistral Large 3 | Qwen3.7 Max |
|---|---|---|
| LMArena Expert | 1421 | 1488 |
| GPQA Diamond | — | 90.9% |
| SimpleQA Verified | — | 55.8% |
| Vectara Hallucination Rate | 14.5% | — |

## Multimodal

- Mistral Large 3: 37.6 (#65)
- Qwen3.7 Max: —

| Benchmark | Mistral Large 3 | Qwen3.7 Max |
|---|---|---|
| LMArena Vision | 1222 | — |

## Multilingual

- Mistral Large 3: 52.6 (#79)
- Qwen3.7 Max: 57.1 (#13)

| Benchmark | Mistral Large 3 | Qwen3.7 Max |
|---|---|---|
| LMArena Non-English | 1412 | 1475 |
| LMArena Chinese | 1448 | 1533 |
| LMArena Russian | 1412 | 1482 |
| LMArena French | 1456 | — |
| LMArena German | 1438 | — |
| LMArena Japanese | 1399 | — |
| LMArena Korean | 1384 | — |
| LMArena Spanish | 1437 | — |

## Instruction Following

- Mistral Large 3: 74.1 (#104)
- Qwen3.7 Max: 76.9 (#34)

| Benchmark | Mistral Large 3 | Qwen3.7 Max |
|---|---|---|
| LMArena Instruction Following | 1402 | 1460 |

## Long Context

- Mistral Large 3: 43.1 (#102)
- Qwen3.7 Max: 45.4 (#34)

| Benchmark | Mistral Large 3 | Qwen3.7 Max |
|---|---|---|
| LMArena Longer Query | 1413 | 1484 |

## Writing & Preference

- Mistral Large 3: 60.2 (#100)
- Qwen3.7 Max: 65.2 (#52)

| Benchmark | Mistral Large 3 | Qwen3.7 Max |
|---|---|---|
| LMArena Text | 1427 | 1476 |
| LMArena Creative Writing | 1385 | 1450 |
| LMArena Multi-Turn | 1429 | 1482 |
| EQ-Bench Creative Writing | 1412 | — |
| EQ-Bench 4 | — | 1110 |

## FAQ

### Is Mistral Large 3 better than Qwen3.7 Max?

Qwen3.7 Max is the stronger model overall, scoring 51.4 to 38.6 on the Noometry Index. Mistral Large 3 costs 10× less per token, which makes it the better buy when Qwen3.7 Max's lead doesn't matter for your workload.

### Which is cheaper, Mistral Large 3 or Qwen3.7 Max?

Mistral Large 3 is cheaper. It lists at $0.25 per million input tokens and $0.75 per million output tokens; Qwen3.7 Max lists at $2.50 and $7.50.

### Is Mistral Large 3 or Qwen3.7 Max better for coding?

Qwen3.7 Max scores higher on coding benchmarks: 50.2 versus 34.1 in the Noometry coding category.

### Which has the bigger context window?

Qwen3.7 Max does, with 1M tokens against 262K.

### How many benchmarks do Mistral Large 3 and Qwen3.7 Max share?

14 benchmarks have published results for both models. Mistral Large 3 has 24 scored results on Noometry and Qwen3.7 Max has 33.