Model comparison
Magistral Medium vs Qwen1.5 4b Chat
Magistral Medium is the stronger model overall, scoring 34.8 to 28.3 on the Noometry Index.
Last verified . 13 shared benchmarks.
Mistral AI
Alibaba (Qwen)Summary
- They share 13 benchmarks with published results for both. Magistral Medium scores higher in 7 categories and Qwen1.5 4b Chat in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Magistral Medium leads 46.5 to 23.9.
Side by side
| Magistral Medium | Qwen1.5 4b Chat | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 34.8 | 28.3 |
| Released | 2025-03-17 | — |
| Weights | Open | Open |
| Context window | 128K | — |
| Max output | 16K | — |
| Input $ / M tokens | $2 | — |
| Output $ / M tokens | $5 | — |
| Results tracked | 22 | 13 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Magistral Medium leads
Magistral Medium: 38.6 (#161), Qwen1.5 4b Chat: 28.6 (#305)
| Benchmark | Magistral Medium | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Coding | 1319 | 999 |
| SciCode | 39.2% | — |
Reasoning Qwen1.5 4b Chat leads
Magistral Medium: 8.7 (#342), Qwen1.5 4b Chat: 17.7 (#277)
| Benchmark | Magistral Medium | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Hard Prompts | 1267 | 976 |
| ARC-AGI-2 | 0% | — |
| Kagi LLM Benchmark | 16.2% | — |
| ARC-AGI-1 | 6.1% | — |
| CritPt | 0.3% | — |
Math Magistral Medium leads
Magistral Medium: 32.4 (#187), Qwen1.5 4b Chat: 27.9 (#233)
| Benchmark | Magistral Medium | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Math | 1249 | 1026 |
Knowledge Magistral Medium leads
Magistral Medium: 32.9 (#199), Qwen1.5 4b Chat: 26.2 (#252)
| Benchmark | Magistral Medium | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Expert | 1222 | 980 |
Multilingual Magistral Medium leads
Magistral Medium: 39.8 (#219), Qwen1.5 4b Chat: 24.2 (#285)
| Benchmark | Magistral Medium | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Non-English | 1232 | 979 |
| LMArena Chinese | 1225 | 1024 |
| LMArena German | 1248 | 902 |
| LMArena Russian | 1224 | 952 |
| LMArena French | 1268 | — |
| LMArena Japanese | 1176 | — |
| LMArena Korean | 1125 | — |
| LMArena Spanish | 1269 | — |
Instruction Following Magistral Medium leads
Magistral Medium: 66.2 (#207), Qwen1.5 4b Chat: 49.3 (#295)
| Benchmark | Magistral Medium | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Instruction Following | 1254 | 979 |
Long Context Magistral Medium leads
Magistral Medium: 39.3 (#178), Qwen1.5 4b Chat: 30.1 (#285)
| Benchmark | Magistral Medium | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Longer Query | 1295 | 988 |
Writing & Preference Magistral Medium leads
Magistral Medium: 46.5 (#214), Qwen1.5 4b Chat: 23.9 (#304)
| Benchmark | Magistral Medium | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Text | 1255 | 997 |
| LMArena Creative Writing | 1245 | 969 |
| LMArena Multi-Turn | 1275 | 977 |
Frequently asked questions
Is Magistral Medium better than Qwen1.5 4b Chat?
Magistral Medium is the stronger model overall, scoring 34.8 to 28.3 on the Noometry Index.
Is Magistral Medium or Qwen1.5 4b Chat better for coding?
Magistral Medium scores higher on coding benchmarks: 38.6 versus 28.6 in the Noometry coding category.
How many benchmarks do Magistral Medium and Qwen1.5 4b Chat share?
13 benchmarks have published results for both models. Magistral Medium has 22 scored results on Noometry and Qwen1.5 4b Chat has 13.