Model comparison
Pixtral Large vs Qwen Plus
Qwen Plus is the stronger model overall, scoring 37.1 to 32.2 on the Noometry Index.
Last verified . 0 shared benchmarks.
Mistral AI
Alibaba (Qwen)Summary
- The widest gap is in writing & preference, where Qwen Plus leads 52.2 to 32.9.
- Qwen Plus is cheaper at $0.40 / $1.20 per million input/output tokens, against $2 / $6 for Pixtral Large.
- Qwen Plus accepts more context: 1M tokens versus 128K.
- Pixtral Large has downloadable open weights; the other is API-only.
Side by side
| Pixtral Large | Qwen Plus | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 32.2 | 37.1 |
| Released | 2024-11-01 | 2024-01-25 |
| Weights | Open | Proprietary |
| Context window | 128K | 1M |
| Max output | 128K | 33K |
| Input $ / M tokens | $2 | $0.40 |
| Output $ / M tokens | $6 | $1.20 |
| Results tracked | 3 | 20 |
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Category by category
Coding Not comparable
Pixtral Large: —, Qwen Plus: 38.9 (#167)
| Benchmark | Pixtral Large | Qwen Plus |
|---|---|---|
| LMArena Coding | — | 1328 |
Reasoning Qwen Plus leads
Pixtral Large: 21.7 (#218), Qwen Plus: 28.4 (#107)
| Benchmark | Pixtral Large | Qwen Plus |
|---|---|---|
| Kagi LLM Benchmark | — | 63.3% |
| EnigmaEval | 0.8% | — |
| LMArena Hard Prompts | — | 1317 |
| DTBench | — | 81.1% |
| LMCA | — | 24% |
Math Not comparable
Pixtral Large: —, Qwen Plus: 23.3 (#271)
| Benchmark | Pixtral Large | Qwen Plus |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 17.8% |
| LMArena Math | — | 1326 |
| MATH Level 5 | — | 65.3% |
| FrontierMath (Feb 2025 set) | — | 1.7% |
Knowledge Not comparable
Pixtral Large: —, Qwen Plus: 27.4 (#251)
| Benchmark | Pixtral Large | Qwen Plus |
|---|---|---|
| GPQA Diamond | — | 48.1% |
| LMArena Expert | — | 1328 |
Multimodal Not comparable
Pixtral Large: 30.6 (#111), Qwen Plus: —
| Benchmark | Pixtral Large | Qwen Plus |
|---|---|---|
| LMArena Vision | 1089 | — |
Multilingual Not comparable
Pixtral Large: —, Qwen Plus: 45.1 (#175)
| Benchmark | Pixtral Large | Qwen Plus |
|---|---|---|
| LMArena Non-English | — | 1310 |
| LMArena Chinese | — | 1347 |
| LMArena Japanese | — | 1251 |
| LMArena Russian | — | 1323 |
Instruction Following Not comparable
Pixtral Large: —, Qwen Plus: 68.8 (#181)
| Benchmark | Pixtral Large | Qwen Plus |
|---|---|---|
| LMArena Instruction Following | — | 1303 |
Long Context Not comparable
Pixtral Large: —, Qwen Plus: 40.3 (#158)
| Benchmark | Pixtral Large | Qwen Plus |
|---|---|---|
| LMArena Longer Query | — | 1324 |
Writing & Preference Qwen Plus leads
Pixtral Large: 32.9 (#278), Qwen Plus: 52.2 (#176)
| Benchmark | Pixtral Large | Qwen Plus |
|---|---|---|
| LMArena Text | — | 1326 |
| LMArena Creative Writing | — | 1293 |
| EQ-Bench Creative Writing | 988 | — |
| LMArena Multi-Turn | — | 1336 |
Frequently asked questions
Is Pixtral Large better than Qwen Plus?
Qwen Plus is the stronger model overall, scoring 37.1 to 32.2 on the Noometry Index.
Which is cheaper, Pixtral Large or Qwen Plus?
Qwen Plus is cheaper. It lists at $0.40 per million input tokens and $1.20 per million output tokens; Pixtral Large lists at $2 and $6.
Which has the bigger context window?
Qwen Plus does, with 1M tokens against 128K.
How many benchmarks do Pixtral Large and Qwen Plus share?
0 benchmarks have published results for both models. Pixtral Large has 3 scored results on Noometry and Qwen Plus has 20.