Model comparison
Mistral vs Qwen2.5-Coder (1.5B)
Mistral has enough public results to be ranked (#303); Qwen2.5-Coder (1.5B) does not yet, so treat this comparison as directional.
Last verified . 0 shared benchmarks.
Mistral AI
Alibaba (Qwen)Summary
- Qwen2.5-Coder (1.5B) has downloadable open weights; the other is API-only.
Side by side
| Mistral | Qwen2.5-Coder (1.5B) | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 29.9 | — |
| Released | — | 2024-09-18 |
| Weights | Proprietary | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 22 | 6 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Not comparable
Mistral: 33.8 (#250), Qwen2.5-Coder (1.5B): —
| Benchmark | Mistral | Qwen2.5-Coder (1.5B) |
|---|---|---|
| LMArena Coding | 1162 | — |
Reasoning Not comparable
Mistral: 22.2 (#200), Qwen2.5-Coder (1.5B): —
| Benchmark | Mistral | Qwen2.5-Coder (1.5B) |
|---|---|---|
| LMArena Hard Prompts | 1149 | — |
| Epoch Capabilities Index | — | 113.14 |
| HellaSwag | — | 76.8% |
| WinoGrande | — | 72.9% |
Math Not comparable
Mistral: 22.3 (#278), Qwen2.5-Coder (1.5B): —
| Benchmark | Mistral | Qwen2.5-Coder (1.5B) |
|---|---|---|
| Omni-MATH | 7.2% | — |
| LMArena Math | 1180 | — |
| GSM8K | — | 86.7% |
Knowledge Not comparable
Mistral: 16.6 (#288), Qwen2.5-Coder (1.5B): —
| Benchmark | Mistral | Qwen2.5-Coder (1.5B) |
|---|---|---|
| MMLU-Pro | 27.7% | — |
| GPQA (HELM) | 30.3% | — |
| LMArena Expert | 1125 | — |
| ARC (AI2) Challenge | — | 60.9% |
| MMLU | — | 68% |
Multilingual Not comparable
Mistral: 32.8 (#254), Qwen2.5-Coder (1.5B): —
| Benchmark | Mistral | Qwen2.5-Coder (1.5B) |
|---|---|---|
| LMArena Non-English | 1129 | — |
| LMArena Chinese | 1109 | — |
| LMArena French | 1180 | — |
| LMArena German | 1155 | — |
| LMArena Japanese | 1013 | — |
| LMArena Korean | 1032 | — |
| LMArena Russian | 1168 | — |
| LMArena Spanish | 1143 | — |
Instruction Following Not comparable
Mistral: 52.6 (#288), Qwen2.5-Coder (1.5B): —
| Benchmark | Mistral | Qwen2.5-Coder (1.5B) |
|---|---|---|
| IFEval | 56.8% | — |
| LMArena Instruction Following | 1152 | — |
Long Context Not comparable
Mistral: 35.0 (#245), Qwen2.5-Coder (1.5B): —
| Benchmark | Mistral | Qwen2.5-Coder (1.5B) |
|---|---|---|
| LMArena Longer Query | 1153 | — |
Writing & Preference Not comparable
Mistral: 37.0 (#260), Qwen2.5-Coder (1.5B): —
| Benchmark | Mistral | Qwen2.5-Coder (1.5B) |
|---|---|---|
| LMArena Text | 1165 | — |
| LMArena Creative Writing | 1158 | — |
| WildBench | 66% | — |
| LMArena Multi-Turn | 1147 | — |
Frequently asked questions
Is Mistral better than Qwen2.5-Coder (1.5B)?
Mistral has enough public results to be ranked (#303); Qwen2.5-Coder (1.5B) does not yet, so treat this comparison as directional.
How many benchmarks do Mistral and Qwen2.5-Coder (1.5B) share?
0 benchmarks have published results for both models. Mistral has 22 scored results on Noometry and Qwen2.5-Coder (1.5B) has 6.