# Mistral Large 4 vs Qwen3.8 Max

> Qwen3.8 Max is the stronger model overall, scoring 56.8 to 43.1 on the Noometry Index. Mistral Large 4 costs 2.9× less per token, which makes it the better buy when Qwen3.8 Max's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/mistral-large-4-vs-qwen3-8-max
- Last updated: 2026-10-10
- Shared benchmarks: 15

## Summary

- They share 15 benchmarks with published results for both. Mistral Large 4 scores higher in 0 categories and Qwen3.8 Max in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Qwen3.8 Max leads 73.2 to 40.4.
- The biggest single-benchmark swing is NYT Connections (extended): 27.4% for Mistral Large 4 and 88.3% for Qwen3.8 Max.
- Mistral Large 4 is cheaper at $0.68 / $2.09 per million input/output tokens, against $2 / $6 for Qwen3.8 Max.
- Mistral Large 4 accepts more context: 1.05M tokens versus 1M.

## Snapshot

| | Mistral Large 4 | Qwen3.8 Max |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 43.1 | 56.8 |
| Rank | 99 | 22 |
| Context | 1.05M | 1M |
| Input $/M | $0.68 | $2 |
| Output $/M | $2.09 | $6 |
| Weights | Proprietary | Proprietary |

## Coding

- Mistral Large 4: 48.6 (#57)
- Qwen3.8 Max: 53.5 (#29)

| Benchmark | Mistral Large 4 | Qwen3.8 Max |
|---|---|---|
| LMArena WebDev | 1541 | 1674 |
| LMArena Coding | 1475 | 1502 |
| DeepSWE | — | 57.5% |
| FrontierSWE | — | 17.8% |
| SciCode | — | 53.2% |

## Agentic & Tool Use

- Mistral Large 4: —
- Qwen3.8 Max: 45.4 (#14)

| Benchmark | Mistral Large 4 | Qwen3.8 Max |
|---|---|---|
| APEX-Agents | — | 63.3% |
| τ²-bench Banking | — | 55.1% |
| GDP.pdf | — | 23.2% |

## Reasoning

- Mistral Large 4: 22.5 (#192)
- Qwen3.8 Max: 54.4 (#26)

| Benchmark | Mistral Large 4 | Qwen3.8 Max |
|---|---|---|
| NYT Connections (extended) | 27.4% | 88.3% |
| LMArena Hard Prompts | 1444 | 1496 |
| CritPt | — | 20% |
| Chess Puzzles | — | 40% |
| Mystery Game Puzzles | — | 38% |
| DTBench | — | 92% |
| LMCA | — | 46.2% |
| Epoch Capabilities Index | — | 156.41 |

## Math

- Mistral Large 4: 40.4 (#91)
- Qwen3.8 Max: 73.2 (#20)

| Benchmark | Mistral Large 4 | Qwen3.8 Max |
|---|---|---|
| LMArena Math | 1488 | 1499 |
| FrontierMath (Tiers 1-3) | — | 74.7% |
| FrontierMath Tier 4 | — | 46.3% |
| OTIS Mock AIME 2024-2025 | — | 100% |
| ProofBench | — | 58% |

## Knowledge

- Mistral Large 4: 36.6 (#166)
- Qwen3.8 Max: 61.7 (#27)

| Benchmark | Mistral Large 4 | Qwen3.8 Max |
|---|---|---|
| SimpleQA Verified | 20% | 47.3% |
| LMArena Expert | 1447 | 1507 |
| GPQA Diamond | — | 92.7% |

## Multimodal

- Mistral Large 4: —
- Qwen3.8 Max: 37.2 (#75)

| Benchmark | Mistral Large 4 | Qwen3.8 Max |
|---|---|---|
| LMArena Vision | — | 1314 |
| Furniture Assembly | — | 20% |

## Multilingual

- Mistral Large 4: 52.6 (#82)
- Qwen3.8 Max: 56.7 (#18)

| Benchmark | Mistral Large 4 | Qwen3.8 Max |
|---|---|---|
| LMArena Non-English | 1415 | 1472 |
| LMArena Chinese | 1491 | 1538 |
| LMArena Russian | 1414 | 1481 |
| LMArena French | — | 1503 |
| LMArena German | — | 1483 |
| LMArena Japanese | — | 1467 |
| LMArena Korean | — | 1461 |
| LMArena Spanish | — | 1492 |

## Instruction Following

- Mistral Large 4: 75.0 (#76)
- Qwen3.8 Max: 77.6 (#17)

| Benchmark | Mistral Large 4 | Qwen3.8 Max |
|---|---|---|
| LMArena Instruction Following | 1424 | 1479 |

## Long Context

- Mistral Large 4: 43.6 (#89)
- Qwen3.8 Max: 45.6 (#31)

| Benchmark | Mistral Large 4 | Qwen3.8 Max |
|---|---|---|
| LMArena Longer Query | 1429 | 1489 |

## Writing & Preference

- Mistral Large 4: 60.4 (#97)
- Qwen3.8 Max: 67.1 (#30)

| Benchmark | Mistral Large 4 | Qwen3.8 Max |
|---|---|---|
| LMArena Text | 1427 | 1483 |
| LMArena Creative Writing | 1361 | 1479 |
| LMArena Multi-Turn | 1424 | 1489 |

## FAQ

### Is Mistral Large 4 better than Qwen3.8 Max?

Qwen3.8 Max is the stronger model overall, scoring 56.8 to 43.1 on the Noometry Index. Mistral Large 4 costs 2.9× less per token, which makes it the better buy when Qwen3.8 Max's lead doesn't matter for your workload.

### Which is cheaper, Mistral Large 4 or Qwen3.8 Max?

Mistral Large 4 is cheaper. It lists at $0.68 per million input tokens and $2.09 per million output tokens; Qwen3.8 Max lists at $2 and $6.

### Is Mistral Large 4 or Qwen3.8 Max better for coding?

Qwen3.8 Max scores higher on coding benchmarks: 53.5 versus 48.6 in the Noometry coding category.

### Which has the bigger context window?

Mistral Large 4 does, with 1.05M tokens against 1M.

### How many benchmarks do Mistral Large 4 and Qwen3.8 Max share?

15 benchmarks have published results for both models. Mistral Large 4 has 15 scored results on Noometry and Qwen3.8 Max has 39.