# Pixtral Large vs Qwen3-30B-A3B

> Qwen3-30B-A3B is the stronger model overall, scoring 38.5 to 31.7 on the Noometry Index.

- Canonical page: https://noometry.com/compare/pixtral-large-vs-qwen3-30b-a3b
- Last updated: 2026-10-10
- Shared benchmarks: 0

## Summary

- The widest gap is in writing & preference, where Qwen3-30B-A3B leads 55.9 to 32.9.
- Qwen3-30B-A3B is cheaper at $0.12 / $0.50 per million input/output tokens, against $2 / $6 for Pixtral Large.
- Pixtral Large accepts more context: 128K tokens versus 41K.

## Snapshot

| | Pixtral Large | Qwen3-30B-A3B |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 31.7 | 38.5 |
| Rank | 257 | 174 |
| Context | 128K | 41K |
| Input $/M | $2 | $0.12 |
| Output $/M | $6 | $0.50 |
| Weights | Open | Open |

## Coding

- Pixtral Large: —
- Qwen3-30B-A3B: 37.0 (#188)

| Benchmark | Pixtral Large | Qwen3-30B-A3B |
|---|---|---|
| SciCode | — | 33.3% |
| WeirdML | — | 29.8% |
| LMArena Coding | — | 1416 |

## Agentic & Tool Use

- Pixtral Large: —
- Qwen3-30B-A3B: 29.5 (#75)

| Benchmark | Pixtral Large | Qwen3-30B-A3B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 41.4% |

## Reasoning

- Pixtral Large: 20.9 (#208)
- Qwen3-30B-A3B: 21.6 (#193)

| Benchmark | Pixtral Large | Qwen3-30B-A3B |
|---|---|---|
| Kagi LLM Benchmark | — | 54.9% |
| CritPt | — | 0.3% |
| Chess Puzzles | — | 8% |
| EnigmaEval | 0.8% | — |
| LMArena Hard Prompts | — | 1398 |
| DTBench | — | 69.3% |
| LMCA | — | 22.4% |
| Epoch Capabilities Index | — | 139.63 |

## Math

- Pixtral Large: —
- Qwen3-30B-A3B: 36.0 (#133)

| Benchmark | Pixtral Large | Qwen3-30B-A3B |
|---|---|---|
| MathArena Final-Answer Competitions | — | 47.8% |
| OTIS Mock AIME 2024-2025 | — | 70.3% |
| LMArena Math | — | 1394 |

## Knowledge

- Pixtral Large: —
- Qwen3-30B-A3B: 41.7 (#96)

| Benchmark | Pixtral Large | Qwen3-30B-A3B |
|---|---|---|
| GPQA Diamond | — | 70.1% |
| Confabulations | — | 12.3% |
| LMArena Expert | — | 1395 |

## Multimodal

- Pixtral Large: 30.0 (#105)
- Qwen3-30B-A3B: —

| Benchmark | Pixtral Large | Qwen3-30B-A3B |
|---|---|---|
| LMArena Vision | 1089 | — |

## Multilingual

- Pixtral Large: —
- Qwen3-30B-A3B: 49.8 (#126)

| Benchmark | Pixtral Large | Qwen3-30B-A3B |
|---|---|---|
| LMArena Non-English | — | 1372 |
| LMArena Chinese | — | 1434 |
| LMArena French | — | 1419 |
| LMArena German | — | 1379 |
| LMArena Japanese | — | 1338 |
| LMArena Korean | — | 1333 |
| LMArena Russian | — | 1369 |
| LMArena Spanish | — | 1403 |

## Instruction Following

- Pixtral Large: —
- Qwen3-30B-A3B: 72.2 (#137)

| Benchmark | Pixtral Large | Qwen3-30B-A3B |
|---|---|---|
| LMArena Instruction Following | — | 1364 |

## Long Context

- Pixtral Large: —
- Qwen3-30B-A3B: 31.0 (#278)

| Benchmark | Pixtral Large | Qwen3-30B-A3B |
|---|---|---|
| Fiction.LiveBench | — | 40.6% |
| LMArena Longer Query | — | 1379 |

## Writing & Preference

- Pixtral Large: 32.9 (#273)
- Qwen3-30B-A3B: 55.9 (#138)

| Benchmark | Pixtral Large | Qwen3-30B-A3B |
|---|---|---|
| LMArena Text | — | 1384 |
| LMArena Creative Writing | — | 1318 |
| Short-Story Creative Writing | — | 75.3% |
| EQ-Bench Creative Writing | 988 | — |
| LMArena Multi-Turn | — | 1378 |

## FAQ

### Is Pixtral Large better than Qwen3-30B-A3B?

Qwen3-30B-A3B is the stronger model overall, scoring 38.5 to 31.7 on the Noometry Index.

### Which is cheaper, Pixtral Large or Qwen3-30B-A3B?

Qwen3-30B-A3B is cheaper. It lists at $0.12 per million input tokens and $0.50 per million output tokens; Pixtral Large lists at $2 and $6.

### Which has the bigger context window?

Pixtral Large does, with 128K tokens against 41K.

### How many benchmarks do Pixtral Large and Qwen3-30B-A3B share?

0 benchmarks have published results for both models. Pixtral Large has 3 scored results on Noometry and Qwen3-30B-A3B has 32.