Model comparison
Magistral Medium vs Qwen3-4B
Magistral Medium is the stronger model overall, scoring 35.2 to 31.9 on the Noometry Index.
Last verified . 0 shared benchmarks.
Mistral AI
Alibaba (Qwen)Summary
- The widest gap is in reasoning, where Qwen3-4B leads 19.2 to 8.6.
Side by side
| Magistral Medium | Qwen3-4B | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 35.2 | 31.9 |
| Released | 2025-03-17 | 2025-04-29 |
| Weights | Open | Open |
| Context window | 262K | — |
| Max output | 16K | — |
| Input $ / M tokens | $2 | — |
| Output $ / M tokens | $5 | — |
| Results tracked | 22 | 6 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Not comparable
Magistral Medium: 39.1 (#161), Qwen3-4B: —
| Benchmark | Magistral Medium | Qwen3-4B |
|---|---|---|
| SciCode | 39.2% | — |
| LMArena Coding | 1319 | — |
Agentic & Tool Use Not comparable
Magistral Medium: —, Qwen3-4B: 27.6 (#100)
| Benchmark | Magistral Medium | Qwen3-4B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 35.7% |
Reasoning Qwen3-4B leads
Magistral Medium: 8.6 (#348), Qwen3-4B: 19.2 (#268)
| Benchmark | Magistral Medium | Qwen3-4B |
|---|---|---|
| ARC-AGI-2 | 0% | — |
| Kagi LLM Benchmark | 16.2% | — |
| ARC-AGI-1 | 6.1% | — |
| CritPt | 0.3% | — |
| Chess Puzzles | — | 4% |
| LMArena Hard Prompts | 1267 | — |
Math Magistral Medium leads
Magistral Medium: 35.1 (#189), Qwen3-4B: 29.7 (#240)
| Benchmark | Magistral Medium | Qwen3-4B |
|---|---|---|
| MathArena Final-Answer Competitions | — | 38.5% |
| OTIS Mock AIME 2024-2025 | — | 52.2% |
| LMArena Math | 1250 | — |
Knowledge Too close to call
Magistral Medium: 33.5 (#202), Qwen3-4B: 33.0 (#208)
| Benchmark | Magistral Medium | Qwen3-4B |
|---|---|---|
| GPQA Diamond | — | 52.3% |
| Vectara Hallucination Rate | — | 5.7% |
| LMArena Expert | 1223 | — |
Multilingual Not comparable
Magistral Medium: 39.6 (#224), Qwen3-4B: —
| Benchmark | Magistral Medium | Qwen3-4B |
|---|---|---|
| LMArena Non-English | 1232 | — |
| LMArena Chinese | 1227 | — |
| LMArena French | 1267 | — |
| LMArena German | 1248 | — |
| LMArena Japanese | 1175 | — |
| LMArena Korean | 1125 | — |
| LMArena Russian | 1224 | — |
| LMArena Spanish | 1271 | — |
Instruction Following Not comparable
Magistral Medium: 66.0 (#211), Qwen3-4B: —
| Benchmark | Magistral Medium | Qwen3-4B |
|---|---|---|
| LMArena Instruction Following | 1254 | — |
Long Context Not comparable
Magistral Medium: 39.3 (#183), Qwen3-4B: —
| Benchmark | Magistral Medium | Qwen3-4B |
|---|---|---|
| LMArena Longer Query | 1295 | — |
Writing & Preference Not comparable
Magistral Medium: 46.3 (#219), Qwen3-4B: —
| Benchmark | Magistral Medium | Qwen3-4B |
|---|---|---|
| LMArena Text | 1255 | — |
| LMArena Creative Writing | 1245 | — |
| LMArena Multi-Turn | 1275 | — |
Frequently asked questions
Is Magistral Medium better than Qwen3-4B?
Magistral Medium is the stronger model overall, scoring 35.2 to 31.9 on the Noometry Index.
How many benchmarks do Magistral Medium and Qwen3-4B share?
0 benchmarks have published results for both models. Magistral Medium has 22 scored results on Noometry and Qwen3-4B has 6.