Model comparison
DeepSeek-R1-Distill-Qwen-32B vs Magistral Medium
DeepSeek-R1-Distill-Qwen-32B and Magistral Medium score almost the same on the Noometry Index (35.5 vs 35.2), so choose on price, context window or the category you care about most.
Last verified . 0 shared benchmarks.
Summary
- The widest gap is in reasoning, where DeepSeek-R1-Distill-Qwen-32B leads 18.2 to 8.6.
Side by side
| DeepSeek-R1-Distill-Qwen-32B | Magistral Medium | |
|---|---|---|
| Provider | DeepSeek | Mistral AI |
| Noometry Index | 35.5 | 35.2 |
| Released | 2025-01-20 | 2025-03-17 |
| Weights | Open | Open |
| Context window | — | 262K |
| Max output | — | 16K |
| Input $ / M tokens | — | $2 |
| Output $ / M tokens | — | $5 |
| Results tracked | 14 | 22 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Magistral Medium leads
DeepSeek-R1-Distill-Qwen-32B: 36.1 (#212), Magistral Medium: 39.1 (#161)
| Benchmark | DeepSeek-R1-Distill-Qwen-32B | Magistral Medium |
|---|---|---|
| SciCode | — | 39.2% |
| BigCodeBench Instruct | 43.9% | — |
| LiveBench Coding | 33.7% | — |
| LMArena Coding | — | 1319 |
| BigCodeBench Complete | 54.9% | — |
Agentic & Tool Use Not comparable
DeepSeek-R1-Distill-Qwen-32B: 28.1 (#94), Magistral Medium: —
| Benchmark | DeepSeek-R1-Distill-Qwen-32B | Magistral Medium |
|---|---|---|
| BALROG | 19.5% | — |
Reasoning DeepSeek-R1-Distill-Qwen-32B leads
DeepSeek-R1-Distill-Qwen-32B: 18.2 (#284), Magistral Medium: 8.6 (#348)
| Benchmark | DeepSeek-R1-Distill-Qwen-32B | Magistral Medium |
|---|---|---|
| ARC-AGI-2 | — | 0% |
| Kagi LLM Benchmark | — | 16.2% |
| ARC-AGI-1 | — | 6.1% |
| CritPt | — | 0.3% |
| Chess Puzzles | 1% | — |
| LiveBench Reasoning | 52.3% | — |
| LMArena Hard Prompts | — | 1267 |
| LiveBench Data Analysis | 45.4% | — |
| Epoch Capabilities Index | 137.44 | — |
| LiveBench | 45.5% | — |
Math Too close to call
DeepSeek-R1-Distill-Qwen-32B: 34.5 (#194), Magistral Medium: 35.1 (#189)
| Benchmark | DeepSeek-R1-Distill-Qwen-32B | Magistral Medium |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 55.6% | — |
| LiveBench Math | 59.4% | — |
| LMArena Math | — | 1250 |
Knowledge DeepSeek-R1-Distill-Qwen-32B leads
DeepSeek-R1-Distill-Qwen-32B: 35.7 (#182), Magistral Medium: 33.5 (#202)
| Benchmark | DeepSeek-R1-Distill-Qwen-32B | Magistral Medium |
|---|---|---|
| GPQA Diamond | 64.1% | — |
| LMArena Expert | — | 1223 |
Multilingual Not comparable
DeepSeek-R1-Distill-Qwen-32B: —, Magistral Medium: 39.6 (#224)
| Benchmark | DeepSeek-R1-Distill-Qwen-32B | Magistral Medium |
|---|---|---|
| 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 Magistral Medium leads
DeepSeek-R1-Distill-Qwen-32B: 61.6 (#243), Magistral Medium: 66.0 (#211)
| Benchmark | DeepSeek-R1-Distill-Qwen-32B | Magistral Medium |
|---|---|---|
| LiveBench Instruction Following | 55.7% | — |
| LMArena Instruction Following | — | 1254 |
Long Context Not comparable
DeepSeek-R1-Distill-Qwen-32B: —, Magistral Medium: 39.3 (#183)
| Benchmark | DeepSeek-R1-Distill-Qwen-32B | Magistral Medium |
|---|---|---|
| LMArena Longer Query | — | 1295 |
Writing & Preference DeepSeek-R1-Distill-Qwen-32B leads
DeepSeek-R1-Distill-Qwen-32B: 49.6 (#188), Magistral Medium: 46.3 (#219)
| Benchmark | DeepSeek-R1-Distill-Qwen-32B | Magistral Medium |
|---|---|---|
| LMArena Text | — | 1255 |
| LMArena Creative Writing | — | 1245 |
| LMArena Multi-Turn | — | 1275 |
| LiveBench Language | 26.8% | — |
Frequently asked questions
Is DeepSeek-R1-Distill-Qwen-32B better than Magistral Medium?
DeepSeek-R1-Distill-Qwen-32B and Magistral Medium score almost the same on the Noometry Index (35.5 vs 35.2), so choose on price, context window or the category you care about most.
Is DeepSeek-R1-Distill-Qwen-32B or Magistral Medium better for coding?
Magistral Medium scores higher on coding benchmarks: 39.1 versus 36.1 in the Noometry coding category.
How many benchmarks do DeepSeek-R1-Distill-Qwen-32B and Magistral Medium share?
0 benchmarks have published results for both models. DeepSeek-R1-Distill-Qwen-32B has 14 scored results on Noometry and Magistral Medium has 22.