Model comparison
Magistral Medium vs Qwen2.5 32B Instruct
Magistral Medium is the stronger model overall, scoring 35.2 to 30.1 on the Noometry Index. Qwen2.5 32B Instruct costs 2.2× less per token, which makes it the better buy when Magistral Medium's lead doesn't matter for your workload.
Last verified . 0 shared benchmarks.
Mistral AI
Alibaba (Qwen)Summary
- The widest gap is in math, where Magistral Medium leads 35.1 to 16.2.
- Qwen2.5 32B Instruct is cheaper at $0.70 / $2.80 per million input/output tokens, against $2 / $5 for Magistral Medium.
- Magistral Medium accepts more context: 262K tokens versus 131K.
Side by side
| Magistral Medium | Qwen2.5 32B Instruct | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 35.2 | 30.1 |
| Released | 2025-03-17 | 2024-09 |
| Weights | Open | Open |
| Context window | 262K | 131K |
| Max output | 16K | 8K |
| Input $ / M tokens | $2 | $0.70 |
| Output $ / M tokens | $5 | $2.80 |
| Results tracked | 22 | 7 |
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Category by category
Coding Too close to call
Magistral Medium: 39.1 (#161), Qwen2.5 32B Instruct: 38.7 (#169)
| Benchmark | Magistral Medium | Qwen2.5 32B Instruct |
|---|---|---|
| SciCode | 39.2% | — |
| BigCodeBench Instruct | — | 45% |
| LMArena Coding | 1319 | — |
| BigCodeBench Complete | — | 52.3% |
Reasoning Qwen2.5 32B Instruct leads
Magistral Medium: 8.6 (#348), Qwen2.5 32B Instruct: 19.2 (#266)
| Benchmark | Magistral Medium | Qwen2.5 32B Instruct |
|---|---|---|
| ARC-AGI-2 | 0% | — |
| Kagi LLM Benchmark | 16.2% | — |
| ARC-AGI-1 | 6.1% | — |
| CritPt | 0.3% | — |
| Chess Puzzles | — | 0% |
| LMArena Hard Prompts | 1267 | — |
| Epoch Capabilities Index | — | 128.52 |
Math Magistral Medium leads
Magistral Medium: 35.1 (#189), Qwen2.5 32B Instruct: 16.2 (#296)
| Benchmark | Magistral Medium | Qwen2.5 32B Instruct |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 7.4% |
| LMArena Math | 1250 | — |
| MATH Level 5 | — | 56.1% |
Knowledge Magistral Medium leads
Magistral Medium: 33.5 (#202), Qwen2.5 32B Instruct: 24.9 (#266)
| Benchmark | Magistral Medium | Qwen2.5 32B Instruct |
|---|---|---|
| GPQA Diamond | — | 46.1% |
| LMArena Expert | 1223 | — |
Multilingual Not comparable
Magistral Medium: 39.6 (#224), Qwen2.5 32B Instruct: —
| Benchmark | Magistral Medium | Qwen2.5 32B Instruct |
|---|---|---|
| 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), Qwen2.5 32B Instruct: —
| Benchmark | Magistral Medium | Qwen2.5 32B Instruct |
|---|---|---|
| LMArena Instruction Following | 1254 | — |
Long Context Not comparable
Magistral Medium: 39.3 (#183), Qwen2.5 32B Instruct: —
| Benchmark | Magistral Medium | Qwen2.5 32B Instruct |
|---|---|---|
| LMArena Longer Query | 1295 | — |
Writing & Preference Not comparable
Magistral Medium: 46.3 (#219), Qwen2.5 32B Instruct: —
| Benchmark | Magistral Medium | Qwen2.5 32B Instruct |
|---|---|---|
| LMArena Text | 1255 | — |
| LMArena Creative Writing | 1245 | — |
| LMArena Multi-Turn | 1275 | — |
Frequently asked questions
Is Magistral Medium better than Qwen2.5 32B Instruct?
Magistral Medium is the stronger model overall, scoring 35.2 to 30.1 on the Noometry Index. Qwen2.5 32B Instruct costs 2.2× less per token, which makes it the better buy when Magistral Medium's lead doesn't matter for your workload.
Which is cheaper, Magistral Medium or Qwen2.5 32B Instruct?
Qwen2.5 32B Instruct is cheaper. It lists at $0.70 per million input tokens and $2.80 per million output tokens; Magistral Medium lists at $2 and $5.
Is Magistral Medium or Qwen2.5 32B Instruct better for coding?
They score almost the same on coding (39.1 vs 38.7); test both on your own repository before choosing.
Which has the bigger context window?
Magistral Medium does, with 262K tokens against 131K.
How many benchmarks do Magistral Medium and Qwen2.5 32B Instruct share?
0 benchmarks have published results for both models. Magistral Medium has 22 scored results on Noometry and Qwen2.5 32B Instruct has 7.