Model comparison
Mistral Medium vs Qwen2.5-Coder (1.5B)
Mistral Medium has enough public results to be ranked (#218); Qwen2.5-Coder (1.5B) does not yet, so treat this comparison as directional.
Last verified . 0 shared benchmarks.
Mistral AI
Alibaba (Qwen)Side by side
| Mistral Medium | Qwen2.5-Coder (1.5B) | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 36.3 | — |
| Released | 2023-12-11 | 2024-09-18 |
| Weights | Open | Open |
| Context window | 262K | — |
| Max output | 262K | — |
| Input $ / M tokens | $1.50 | — |
| Output $ / M tokens | $7.50 | — |
| Results tracked | 36 | 6 |
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Category by category
Coding Not comparable
Mistral Medium: 34.2 (#243), Qwen2.5-Coder (1.5B): —
| Benchmark | Mistral Medium | Qwen2.5-Coder (1.5B) |
|---|---|---|
| FrontierCode | 8% | — |
| SciCode | 40.2% | — |
| WeirdML | 43.7% | — |
| LMArena Coding | 1434 | — |
| ALE-Bench | 763.98 | — |
Agentic & Tool Use Not comparable
Mistral Medium: 28.3 (#90), Qwen2.5-Coder (1.5B): —
| Benchmark | Mistral Medium | Qwen2.5-Coder (1.5B) |
|---|---|---|
| Berkeley Function Calling Leaderboard | 37.7% | — |
Reasoning Not comparable
Mistral Medium: 24.0 (#167), Qwen2.5-Coder (1.5B): —
| Benchmark | Mistral Medium | Qwen2.5-Coder (1.5B) |
|---|---|---|
| Kagi LLM Benchmark | 50% | — |
| CritPt | 0% | — |
| LMArena Hard Prompts | 1426 | — |
| DTBench | 75.5% | — |
| LMCA | 26.1% | — |
| Surface Evolver Bench | 26.9% | — |
| Epoch Capabilities Index | — | 113.14 |
| HellaSwag | — | 76.8% |
| WinoGrande | — | 72.9% |
Math Not comparable
Mistral Medium: 28.1 (#245), Qwen2.5-Coder (1.5B): —
| Benchmark | Mistral Medium | Qwen2.5-Coder (1.5B) |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 32.2% | — |
| ProofBench | 9% | — |
| LMArena Math | 1408 | — |
| MATH Level 5 | 81.6% | — |
| FrontierMath (Feb 2025 set) | 0.3% | — |
| GSM8K | — | 86.7% |
Knowledge Not comparable
Mistral Medium: 25.0 (#265), Qwen2.5-Coder (1.5B): —
| Benchmark | Mistral Medium | Qwen2.5-Coder (1.5B) |
|---|---|---|
| GPQA Diamond | 59.5% | — |
| Humanity's Last Exam | 4.5% | — |
| Vectara Hallucination Rate | 22.7% | — |
| LMArena Expert | 1408 | — |
| ARC (AI2) Challenge | — | 60.9% |
| MMLU | — | 68% |
Multimodal Not comparable
Mistral Medium: 35.3 (#88), Qwen2.5-Coder (1.5B): —
| Benchmark | Mistral Medium | Qwen2.5-Coder (1.5B) |
|---|---|---|
| LMArena Vision | 1172 | — |
Multilingual Not comparable
Mistral Medium: 52.1 (#91), Qwen2.5-Coder (1.5B): —
| Benchmark | Mistral Medium | Qwen2.5-Coder (1.5B) |
|---|---|---|
| LMArena Non-English | 1408 | — |
| LMArena Chinese | 1447 | — |
| LMArena French | 1459 | — |
| LMArena German | 1432 | — |
| LMArena Japanese | 1378 | — |
| LMArena Korean | 1380 | — |
| LMArena Russian | 1411 | — |
| LMArena Spanish | 1433 | — |
Instruction Following Not comparable
Mistral Medium: 73.7 (#116), Qwen2.5-Coder (1.5B): —
| Benchmark | Mistral Medium | Qwen2.5-Coder (1.5B) |
|---|---|---|
| LMArena Instruction Following | 1398 | — |
Long Context Not comparable
Mistral Medium: 42.9 (#114), Qwen2.5-Coder (1.5B): —
| Benchmark | Mistral Medium | Qwen2.5-Coder (1.5B) |
|---|---|---|
| LMArena Longer Query | 1406 | — |
Writing & Preference Not comparable
Mistral Medium: 60.0 (#103), Qwen2.5-Coder (1.5B): —
| Benchmark | Mistral Medium | Qwen2.5-Coder (1.5B) |
|---|---|---|
| LMArena Text | 1424 | — |
| LMArena Creative Writing | 1391 | — |
| Short-Story Creative Writing | 77.3% | — |
| LMArena Multi-Turn | 1418 | — |
Frequently asked questions
Is Mistral Medium better than Qwen2.5-Coder (1.5B)?
Mistral Medium has enough public results to be ranked (#218); Qwen2.5-Coder (1.5B) does not yet, so treat this comparison as directional.
How many benchmarks do Mistral Medium and Qwen2.5-Coder (1.5B) share?
0 benchmarks have published results for both models. Mistral Medium has 36 scored results on Noometry and Qwen2.5-Coder (1.5B) has 6.