Model comparison
Mistral Medium 3.5 vs Qwen2.5-Coder (1.5B)
Mistral Medium 3.5 has enough public results to be ranked (#151); Qwen2.5-Coder (1.5B) does not yet, so treat this comparison as directional.
Last verified . 1 shared benchmarks.
Mistral AI
Alibaba (Qwen)Summary
- They share 1 benchmark with published results for both.
Side by side
| Mistral Medium 3.5 | Qwen2.5-Coder (1.5B) | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 39.6 | — |
| Released | — | 2024-09-18 |
| Weights | Open | Open |
| Context window | 262K | — |
| Max output | 210K | — |
| Input $ / M tokens | $1.50 | — |
| Output $ / M tokens | $7.50 | — |
| Results tracked | 22 | 6 |
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Category by category
Coding Not comparable
Mistral Medium 3.5: 35.7 (#208), Qwen2.5-Coder (1.5B): —
| Benchmark | Mistral Medium 3.5 | Qwen2.5-Coder (1.5B) |
|---|---|---|
| LMArena WebDev | 1263 | — |
| LMArena Coding | 1461 | — |
Reasoning Not comparable
Mistral Medium 3.5: 16.6 (#290), Qwen2.5-Coder (1.5B): —
| Benchmark | Mistral Medium 3.5 | Qwen2.5-Coder (1.5B) |
|---|---|---|
| Epoch Capabilities Index | 141.42 | 112.93 |
| Kagi LLM Benchmark | 41.4% | — |
| NYT Connections (extended) | 12.9% | — |
| LMArena Hard Prompts | 1436 | — |
| HellaSwag | — | 76.8% |
| WinoGrande | — | 72.9% |
Math Not comparable
Mistral Medium 3.5: 36.4 (#113), Qwen2.5-Coder (1.5B): —
| Benchmark | Mistral Medium 3.5 | Qwen2.5-Coder (1.5B) |
|---|---|---|
| LMArena Math | 1432 | — |
| GSM8K | — | 86.7% |
Knowledge Not comparable
Mistral Medium 3.5: 39.3 (#123), Qwen2.5-Coder (1.5B): —
| Benchmark | Mistral Medium 3.5 | Qwen2.5-Coder (1.5B) |
|---|---|---|
| LMArena Expert | 1431 | — |
| ARC (AI2) Challenge | — | 60.9% |
| MMLU | — | 68% |
Multimodal Not comparable
Mistral Medium 3.5: 37.6 (#64), Qwen2.5-Coder (1.5B): —
| Benchmark | Mistral Medium 3.5 | Qwen2.5-Coder (1.5B) |
|---|---|---|
| LMArena Vision | 1222 | — |
Multilingual Not comparable
Mistral Medium 3.5: 52.1 (#93), Qwen2.5-Coder (1.5B): —
| Benchmark | Mistral Medium 3.5 | Qwen2.5-Coder (1.5B) |
|---|---|---|
| LMArena Non-English | 1405 | — |
| LMArena Chinese | 1443 | — |
| LMArena French | 1448 | — |
| LMArena German | 1453 | — |
| LMArena Korean | 1387 | — |
| LMArena Russian | 1396 | — |
| LMArena Spanish | 1406 | — |
Instruction Following Not comparable
Mistral Medium 3.5: 74.7 (#87), Qwen2.5-Coder (1.5B): —
| Benchmark | Mistral Medium 3.5 | Qwen2.5-Coder (1.5B) |
|---|---|---|
| LMArena Instruction Following | 1414 | — |
Long Context Not comparable
Mistral Medium 3.5: 43.2 (#101), Qwen2.5-Coder (1.5B): —
| Benchmark | Mistral Medium 3.5 | Qwen2.5-Coder (1.5B) |
|---|---|---|
| LMArena Longer Query | 1414 | — |
Writing & Preference Not comparable
Mistral Medium 3.5: 58.6 (#113), Qwen2.5-Coder (1.5B): —
| Benchmark | Mistral Medium 3.5 | Qwen2.5-Coder (1.5B) |
|---|---|---|
| LMArena Text | 1421 | — |
| LMArena Creative Writing | 1372 | — |
| EQ-Bench 4 | 993 | — |
| LMArena Multi-Turn | 1423 | — |
Frequently asked questions
Is Mistral Medium 3.5 better than Qwen2.5-Coder (1.5B)?
Mistral Medium 3.5 has enough public results to be ranked (#151); Qwen2.5-Coder (1.5B) does not yet, so treat this comparison as directional.
How many benchmarks do Mistral Medium 3.5 and Qwen2.5-Coder (1.5B) share?
1 benchmark has published results for both models. Mistral Medium 3.5 has 22 scored results on Noometry and Qwen2.5-Coder (1.5B) has 6.