Model comparison
Pixtral Large vs Qwen2-72B
Pixtral Large is the stronger model overall, scoring 32.2 to 30.0 on the Noometry Index.
Last verified . 0 shared benchmarks.
Mistral AI
Alibaba (Qwen)Summary
- The widest gap is in writing & preference, where Qwen2-72B leads 40.8 to 32.9.
Side by side
| Pixtral Large | Qwen2-72B | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 32.2 | 30.0 |
| Released | 2024-11-01 | 2024-06-07 |
| Weights | Open | Open |
| Context window | 128K | — |
| Max output | 128K | — |
| Input $ / M tokens | $2 | — |
| Output $ / M tokens | $6 | — |
| Results tracked | 3 | 26 |
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Category by category
Coding Not comparable
Pixtral Large: —, Qwen2-72B: 29.1 (#310)
| Benchmark | Pixtral Large | Qwen2-72B |
|---|---|---|
| WeirdML | — | 11.3% |
| BigCodeBench Instruct | — | 38.5% |
| LMArena Coding | — | 1196 |
| BigCodeBench Complete | — | 54% |
Agentic & Tool Use Not comparable
Pixtral Large: —, Qwen2-72B: 17.0 (#146)
| Benchmark | Pixtral Large | Qwen2-72B |
|---|---|---|
| TheAgentCompany | — | 1.1% |
| METR Time Horizons | — | 29.9% |
Reasoning Qwen2-72B leads
Pixtral Large: 21.7 (#218), Qwen2-72B: 23.2 (#181)
| Benchmark | Pixtral Large | Qwen2-72B |
|---|---|---|
| EnigmaEval | 0.8% | — |
| LMArena Hard Prompts | — | 1191 |
| Epoch Capabilities Index | — | 125.28 |
Math Not comparable
Pixtral Large: —, Qwen2-72B: 30.2 (#236)
| Benchmark | Pixtral Large | Qwen2-72B |
|---|---|---|
| LMArena Math | — | 1235 |
| MATH Level 5 | — | 39.1% |
Knowledge Not comparable
Pixtral Large: —, Qwen2-72B: 21.2 (#275)
| Benchmark | Pixtral Large | Qwen2-72B |
|---|---|---|
| GPQA Diamond | — | 40.8% |
| LMArena Expert | — | 1171 |
| MMLU | — | 82.4% |
Multimodal Not comparable
Pixtral Large: 30.6 (#111), Qwen2-72B: —
| Benchmark | Pixtral Large | Qwen2-72B |
|---|---|---|
| LMArena Vision | 1089 | — |
Multilingual Not comparable
Pixtral Large: —, Qwen2-72B: 35.9 (#244)
| Benchmark | Pixtral Large | Qwen2-72B |
|---|---|---|
| LMArena Non-English | — | 1176 |
| LMArena Chinese | — | 1240 |
| LMArena French | — | 1170 |
| LMArena German | — | 1151 |
| LMArena Japanese | — | 1111 |
| LMArena Korean | — | 1083 |
| LMArena Russian | — | 1169 |
| LMArena Spanish | — | 1169 |
Instruction Following Not comparable
Pixtral Large: —, Qwen2-72B: 61.7 (#241)
| Benchmark | Pixtral Large | Qwen2-72B |
|---|---|---|
| LMArena Instruction Following | — | 1181 |
Long Context Not comparable
Pixtral Large: —, Qwen2-72B: 36.1 (#235)
| Benchmark | Pixtral Large | Qwen2-72B |
|---|---|---|
| LMArena Longer Query | — | 1192 |
Writing & Preference Qwen2-72B leads
Pixtral Large: 32.9 (#278), Qwen2-72B: 40.8 (#241)
| Benchmark | Pixtral Large | Qwen2-72B |
|---|---|---|
| LMArena Text | — | 1203 |
| LMArena Creative Writing | — | 1181 |
| EQ-Bench Creative Writing | 988 | — |
| LMArena Multi-Turn | — | 1196 |
Frequently asked questions
Is Pixtral Large better than Qwen2-72B?
Pixtral Large is the stronger model overall, scoring 32.2 to 30.0 on the Noometry Index.
How many benchmarks do Pixtral Large and Qwen2-72B share?
0 benchmarks have published results for both models. Pixtral Large has 3 scored results on Noometry and Qwen2-72B has 26.