# Pixtral Large vs Qwen3.8 Max

> Qwen3.8 Max is the stronger model overall, scoring 56.8 to 32.2 on the Noometry Index.

- Canonical page: https://noometry.com/compare/pixtral-large-vs-qwen3-8-max
- Last updated: 2026-10-10
- Shared benchmarks: 1

## Summary

- They share 1 benchmark with published results for both. Pixtral Large scores higher in 0 categories and Qwen3.8 Max in 3 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Qwen3.8 Max leads 67.1 to 32.9.
- Both cost about the same: $2 input and $6 output per million tokens.
- Qwen3.8 Max accepts more context: 1M tokens versus 128K.
- Pixtral Large has downloadable open weights; the other is API-only.

## Snapshot

| | Pixtral Large | Qwen3.8 Max |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 32.2 | 56.8 |
| Rank | 259 | 22 |
| Context | 128K | 1M |
| Input $/M | $2 | $2 |
| Output $/M | $6 | $6 |
| Weights | Open | Proprietary |

## Coding

- Pixtral Large: —
- Qwen3.8 Max: 53.5 (#29)

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

## Agentic & Tool Use

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

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

## Reasoning

- Pixtral Large: 21.7 (#218)
- Qwen3.8 Max: 54.4 (#26)

| Benchmark | Pixtral Large | Qwen3.8 Max |
|---|---|---|
| NYT Connections (extended) | — | 88.3% |
| CritPt | — | 20% |
| Chess Puzzles | — | 40% |
| EnigmaEval | 0.8% | — |
| LMArena Hard Prompts | — | 1496 |
| Mystery Game Puzzles | — | 38% |
| DTBench | — | 92% |
| LMCA | — | 46.2% |
| Epoch Capabilities Index | — | 156.41 |

## Math

- Pixtral Large: —
- Qwen3.8 Max: 73.2 (#20)

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

## Knowledge

- Pixtral Large: —
- Qwen3.8 Max: 61.7 (#27)

| Benchmark | Pixtral Large | Qwen3.8 Max |
|---|---|---|
| GPQA Diamond | — | 92.7% |
| SimpleQA Verified | — | 47.3% |
| LMArena Expert | — | 1507 |

## Multimodal

- Pixtral Large: 30.6 (#111)
- Qwen3.8 Max: 37.2 (#75)

| Benchmark | Pixtral Large | Qwen3.8 Max |
|---|---|---|
| LMArena Vision | 1089 | 1314 |
| Furniture Assembly | — | 20% |

## Multilingual

- Pixtral Large: —
- Qwen3.8 Max: 56.7 (#18)

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

## Instruction Following

- Pixtral Large: —
- Qwen3.8 Max: 77.6 (#17)

| Benchmark | Pixtral Large | Qwen3.8 Max |
|---|---|---|
| LMArena Instruction Following | — | 1479 |

## Long Context

- Pixtral Large: —
- Qwen3.8 Max: 45.6 (#31)

| Benchmark | Pixtral Large | Qwen3.8 Max |
|---|---|---|
| LMArena Longer Query | — | 1489 |

## Writing & Preference

- Pixtral Large: 32.9 (#278)
- Qwen3.8 Max: 67.1 (#30)

| Benchmark | Pixtral Large | Qwen3.8 Max |
|---|---|---|
| LMArena Text | — | 1483 |
| LMArena Creative Writing | — | 1479 |
| EQ-Bench Creative Writing | 988 | — |
| LMArena Multi-Turn | — | 1489 |

## FAQ

### Is Pixtral Large better than Qwen3.8 Max?

Qwen3.8 Max is the stronger model overall, scoring 56.8 to 32.2 on the Noometry Index.

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

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

### Which has the bigger context window?

Qwen3.8 Max does, with 1M tokens against 128K.

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

1 benchmark has published results for both models. Pixtral Large has 3 scored results on Noometry and Qwen3.8 Max has 39.