Model comparison
Magistral Medium vs Qwen3-1.7B
Magistral Medium is the stronger model overall, scoring 34.8 to 26.2 on the Noometry Index.
Last verified . 0 shared benchmarks.
Mistral AI
Alibaba (Qwen)Summary
- The widest gap is in math, where Magistral Medium leads 32.4 to 15.4.
Side by side
| Magistral Medium | Qwen3-1.7B | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 34.8 | 26.2 |
| Released | 2025-03-17 | 2025-04-29 |
| Weights | Open | Open |
| Context window | 128K | — |
| Max output | 16K | — |
| Input $ / M tokens | $2 | — |
| Output $ / M tokens | $5 | — |
| Results tracked | 22 | 4 |
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Category by category
Coding Not comparable
Magistral Medium: 38.6 (#161), Qwen3-1.7B: —
| Benchmark | Magistral Medium | Qwen3-1.7B |
|---|---|---|
| SciCode | 39.2% | — |
| LMArena Coding | 1319 | — |
Agentic & Tool Use Not comparable
Magistral Medium: —, Qwen3-1.7B: 24.5 (#108)
| Benchmark | Magistral Medium | Qwen3-1.7B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 28.4% |
Reasoning Qwen3-1.7B leads
Magistral Medium: 8.7 (#342), Qwen3-1.7B: 18.5 (#263)
| Benchmark | Magistral Medium | Qwen3-1.7B |
|---|---|---|
| ARC-AGI-2 | 0% | — |
| Kagi LLM Benchmark | 16.2% | — |
| ARC-AGI-1 | 6.1% | — |
| CritPt | 0.3% | — |
| Chess Puzzles | — | 0% |
| LMArena Hard Prompts | 1267 | — |
Math Magistral Medium leads
Magistral Medium: 32.4 (#187), Qwen3-1.7B: 15.4 (#288)
| Benchmark | Magistral Medium | Qwen3-1.7B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 8.1% |
| LMArena Math | 1249 | — |
Knowledge Magistral Medium leads
Magistral Medium: 32.9 (#199), Qwen3-1.7B: 19.6 (#273)
| Benchmark | Magistral Medium | Qwen3-1.7B |
|---|---|---|
| GPQA Diamond | — | 38% |
| LMArena Expert | 1222 | — |
Multilingual Not comparable
Magistral Medium: 39.8 (#219), Qwen3-1.7B: —
| Benchmark | Magistral Medium | Qwen3-1.7B |
|---|---|---|
| LMArena Non-English | 1232 | — |
| LMArena Chinese | 1225 | — |
| LMArena French | 1268 | — |
| LMArena German | 1248 | — |
| LMArena Japanese | 1176 | — |
| LMArena Korean | 1125 | — |
| LMArena Russian | 1224 | — |
| LMArena Spanish | 1269 | — |
Instruction Following Not comparable
Magistral Medium: 66.2 (#207), Qwen3-1.7B: —
| Benchmark | Magistral Medium | Qwen3-1.7B |
|---|---|---|
| LMArena Instruction Following | 1254 | — |
Long Context Not comparable
Magistral Medium: 39.3 (#178), Qwen3-1.7B: —
| Benchmark | Magistral Medium | Qwen3-1.7B |
|---|---|---|
| LMArena Longer Query | 1295 | — |
Writing & Preference Not comparable
Magistral Medium: 46.5 (#214), Qwen3-1.7B: —
| Benchmark | Magistral Medium | Qwen3-1.7B |
|---|---|---|
| LMArena Text | 1255 | — |
| LMArena Creative Writing | 1245 | — |
| LMArena Multi-Turn | 1275 | — |
Frequently asked questions
Is Magistral Medium better than Qwen3-1.7B?
Magistral Medium is the stronger model overall, scoring 34.8 to 26.2 on the Noometry Index.
How many benchmarks do Magistral Medium and Qwen3-1.7B share?
0 benchmarks have published results for both models. Magistral Medium has 22 scored results on Noometry and Qwen3-1.7B has 4.