Model comparison
Mistral Medium vs Qwen1.5 4b Chat
Mistral Medium is the stronger model overall, scoring 36.3 to 28.8 on the Noometry Index.
Last verified . 13 shared benchmarks.
Mistral AI
Alibaba (Qwen)Summary
- They share 13 benchmarks with published results for both. Mistral Medium scores higher in 6 categories and Qwen1.5 4b Chat in 2 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Mistral Medium leads 60.0 to 23.8.
Side by side
| Mistral Medium | Qwen1.5 4b Chat | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 36.3 | 28.8 |
| Released | 2023-12-11 | — |
| Weights | Open | Open |
| Context window | 262K | — |
| Max output | 262K | — |
| Input $ / M tokens | $1.50 | — |
| Output $ / M tokens | $7.50 | — |
| Results tracked | 36 | 13 |
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Category by category
Coding Mistral Medium leads
Mistral Medium: 34.2 (#243), Qwen1.5 4b Chat: 29.1 (#308)
| Benchmark | Mistral Medium | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Coding | 1434 | 999 |
| FrontierCode | 8% | — |
| SciCode | 40.2% | — |
| WeirdML | 43.7% | — |
| ALE-Bench | 763.98 | — |
Agentic & Tool Use Not comparable
Mistral Medium: 28.3 (#90), Qwen1.5 4b Chat: —
| Benchmark | Mistral Medium | Qwen1.5 4b Chat |
|---|---|---|
| Berkeley Function Calling Leaderboard | 37.7% | — |
Reasoning Mistral Medium leads
Mistral Medium: 24.0 (#167), Qwen1.5 4b Chat: 18.5 (#279)
| Benchmark | Mistral Medium | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Hard Prompts | 1426 | 976 |
| Kagi LLM Benchmark | 50% | — |
| CritPt | 0% | — |
| DTBench | 75.5% | — |
| LMCA | 26.1% | — |
| Surface Evolver Bench | 26.9% | — |
Math Qwen1.5 4b Chat leads
Mistral Medium: 28.1 (#245), Qwen1.5 4b Chat: 30.4 (#234)
| Benchmark | Mistral Medium | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Math | 1408 | 1026 |
| OTIS Mock AIME 2024-2025 | 32.2% | — |
| ProofBench | 9% | — |
| MATH Level 5 | 81.6% | — |
| FrontierMath (Feb 2025 set) | 0.3% | — |
Knowledge Qwen1.5 4b Chat leads
Mistral Medium: 25.0 (#265), Qwen1.5 4b Chat: 26.7 (#255)
| Benchmark | Mistral Medium | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Expert | 1408 | 980 |
| GPQA Diamond | 59.5% | — |
| Humanity's Last Exam | 4.5% | — |
| Vectara Hallucination Rate | 22.7% | — |
Multimodal Not comparable
Mistral Medium: 35.3 (#88), Qwen1.5 4b Chat: —
| Benchmark | Mistral Medium | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Vision | 1172 | — |
Multilingual Mistral Medium leads
Mistral Medium: 52.1 (#91), Qwen1.5 4b Chat: 24.1 (#290)
| Benchmark | Mistral Medium | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Non-English | 1408 | 979 |
| LMArena Chinese | 1447 | 1024 |
| LMArena German | 1432 | 902 |
| LMArena Russian | 1411 | 952 |
| LMArena French | 1459 | — |
| LMArena Japanese | 1378 | — |
| LMArena Korean | 1380 | — |
| LMArena Spanish | 1433 | — |
Instruction Following Mistral Medium leads
Mistral Medium: 73.7 (#116), Qwen1.5 4b Chat: 49.0 (#300)
| Benchmark | Mistral Medium | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Instruction Following | 1398 | 978 |
Long Context Mistral Medium leads
Mistral Medium: 42.9 (#114), Qwen1.5 4b Chat: 30.1 (#290)
| Benchmark | Mistral Medium | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Longer Query | 1406 | 988 |
Writing & Preference Mistral Medium leads
Mistral Medium: 60.0 (#103), Qwen1.5 4b Chat: 23.8 (#309)
| Benchmark | Mistral Medium | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Text | 1424 | 997 |
| LMArena Creative Writing | 1391 | 969 |
| LMArena Multi-Turn | 1418 | 977 |
| Short-Story Creative Writing | 77.3% | — |
Frequently asked questions
Is Mistral Medium better than Qwen1.5 4b Chat?
Mistral Medium is the stronger model overall, scoring 36.3 to 28.8 on the Noometry Index.
Is Mistral Medium or Qwen1.5 4b Chat better for coding?
Mistral Medium scores higher on coding benchmarks: 34.2 versus 29.1 in the Noometry coding category.
How many benchmarks do Mistral Medium and Qwen1.5 4b Chat share?
13 benchmarks have published results for both models. Mistral Medium has 36 scored results on Noometry and Qwen1.5 4b Chat has 13.