Model comparison
Pixtral Large vs Qwen3-Next 80B-A3B Instruct
Qwen3-Next 80B-A3B Instruct is the stronger model overall, scoring 42.5 to 31.7 on the Noometry Index.
Last verified . 0 shared benchmarks.
Mistral AI
Alibaba (Qwen)Summary
- The widest gap is in writing & preference, where Qwen3-Next 80B-A3B Instruct leads 58.2 to 32.9.
- Qwen3-Next 80B-A3B Instruct is cheaper at $0.50 / $2 per million input/output tokens, against $2 / $6 for Pixtral Large.
- Qwen3-Next 80B-A3B Instruct accepts more context: 131K tokens versus 128K.
Side by side
| Pixtral Large | Qwen3-Next 80B-A3B Instruct | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 31.7 | 42.5 |
| Released | 2024-11-01 | 2025-09 |
| Weights | Open | Open |
| Context window | 128K | 131K |
| Max output | 128K | 33K |
| Input $ / M tokens | $2 | $0.50 |
| Output $ / M tokens | $6 | $2 |
| Results tracked | 3 | 25 |
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Category by category
Coding Not comparable
Pixtral Large: —, Qwen3-Next 80B-A3B Instruct: 41.9 (#101)
| Benchmark | Pixtral Large | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Coding | — | 1441 |
Reasoning Qwen3-Next 80B-A3B Instruct leads
Pixtral Large: 20.9 (#208), Qwen3-Next 80B-A3B Instruct: 30.1 (#79)
| Benchmark | Pixtral Large | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| Kagi LLM Benchmark | — | 66.7% |
| EnigmaEval | 0.8% | — |
| LMArena Hard Prompts | — | 1428 |
Math Not comparable
Pixtral Large: —, Qwen3-Next 80B-A3B Instruct: 36.3 (#118)
| Benchmark | Pixtral Large | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| Omni-MATH | — | 46.7% |
| LMArena Math | — | 1440 |
Knowledge Not comparable
Pixtral Large: —, Qwen3-Next 80B-A3B Instruct: 41.3 (#102)
| Benchmark | Pixtral Large | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| MMLU-Pro | — | 78.6% |
| Vectara Hallucination Rate | — | 9.3% |
| GPQA (HELM) | — | 63% |
| LMArena Expert | — | 1416 |
Multimodal Not comparable
Pixtral Large: 30.0 (#105), Qwen3-Next 80B-A3B Instruct: —
| Benchmark | Pixtral Large | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Vision | 1089 | — |
Multilingual Not comparable
Pixtral Large: —, Qwen3-Next 80B-A3B Instruct: 52.3 (#88)
| Benchmark | Pixtral Large | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Non-English | — | 1407 |
| LMArena Chinese | — | 1461 |
| LMArena French | — | 1415 |
| LMArena German | — | 1416 |
| LMArena Japanese | — | 1398 |
| LMArena Korean | — | 1366 |
| LMArena Russian | — | 1403 |
| LMArena Spanish | — | 1436 |
Instruction Following Not comparable
Pixtral Large: —, Qwen3-Next 80B-A3B Instruct: 71.0 (#154)
| Benchmark | Pixtral Large | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| IFEval | — | 81% |
| LMArena Instruction Following | — | 1388 |
Long Context Not comparable
Pixtral Large: —, Qwen3-Next 80B-A3B Instruct: 37.0 (#218)
| Benchmark | Pixtral Large | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| Fiction.LiveBench | — | 55.6% |
| LMArena Longer Query | — | 1403 |
Writing & Preference Qwen3-Next 80B-A3B Instruct leads
Pixtral Large: 32.9 (#273), Qwen3-Next 80B-A3B Instruct: 58.2 (#116)
| Benchmark | Pixtral Large | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Text | — | 1417 |
| LMArena Creative Writing | — | 1333 |
| EQ-Bench Creative Writing | 988 | — |
| WildBench | — | 80.7% |
| LMArena Multi-Turn | — | 1415 |
Frequently asked questions
Is Pixtral Large better than Qwen3-Next 80B-A3B Instruct?
Qwen3-Next 80B-A3B Instruct is the stronger model overall, scoring 42.5 to 31.7 on the Noometry Index.
Which is cheaper, Pixtral Large or Qwen3-Next 80B-A3B Instruct?
Qwen3-Next 80B-A3B Instruct is cheaper. It lists at $0.50 per million input tokens and $2 per million output tokens; Pixtral Large lists at $2 and $6.
Which has the bigger context window?
Qwen3-Next 80B-A3B Instruct does, with 131K tokens against 128K.
How many benchmarks do Pixtral Large and Qwen3-Next 80B-A3B Instruct share?
0 benchmarks have published results for both models. Pixtral Large has 3 scored results on Noometry and Qwen3-Next 80B-A3B Instruct has 25.