Model comparison
Magistral Medium vs Qwen2.5 14B Instruct
Magistral Medium has enough public results to be ranked (#224); Qwen2.5 14B Instruct does not yet, so treat this comparison as directional.
Last verified . 0 shared benchmarks.
Mistral AI
Alibaba (Qwen)Summary
- Qwen2.5 14B Instruct is cheaper at $0.35 / $1.40 per million input/output tokens, against $2 / $5 for Magistral Medium.
- Qwen2.5 14B Instruct accepts more context: 131K tokens versus 128K.
Side by side
| Magistral Medium | Qwen2.5 14B Instruct | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 34.8 | 38.2 |
| Released | 2025-03-17 | 2024-09 |
| Weights | Open | Open |
| Context window | 128K | 131K |
| Max output | 16K | 8K |
| Input $ / M tokens | $2 | $0.35 |
| Output $ / M tokens | $5 | $1.40 |
| Results tracked | 22 | 3 |
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Category by category
Coding Magistral Medium leads
Magistral Medium: 38.6 (#161), Qwen2.5 14B Instruct: 37.1 (#187)
| Benchmark | Magistral Medium | Qwen2.5 14B Instruct |
|---|---|---|
| SciCode | 39.2% | — |
| BigCodeBench Instruct | — | 39.8% |
| LMArena Coding | 1319 | — |
| BigCodeBench Complete | — | 52.2% |
Reasoning Not comparable
Magistral Medium: 8.7 (#342), Qwen2.5 14B Instruct: —
| Benchmark | Magistral Medium | Qwen2.5 14B Instruct |
|---|---|---|
| ARC-AGI-2 | 0% | — |
| Kagi LLM Benchmark | 16.2% | — |
| ARC-AGI-1 | 6.1% | — |
| CritPt | 0.3% | — |
| LMArena Hard Prompts | 1267 | — |
Math Not comparable
Magistral Medium: 32.4 (#187), Qwen2.5 14B Instruct: —
| Benchmark | Magistral Medium | Qwen2.5 14B Instruct |
|---|---|---|
| LMArena Math | 1249 | — |
Knowledge Not comparable
Magistral Medium: 32.9 (#199), Qwen2.5 14B Instruct: —
| Benchmark | Magistral Medium | Qwen2.5 14B Instruct |
|---|---|---|
| LMArena Expert | 1222 | — |
| MMLU | — | 79.9% |
Multilingual Not comparable
Magistral Medium: 39.8 (#219), Qwen2.5 14B Instruct: —
| Benchmark | Magistral Medium | Qwen2.5 14B Instruct |
|---|---|---|
| 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), Qwen2.5 14B Instruct: —
| Benchmark | Magistral Medium | Qwen2.5 14B Instruct |
|---|---|---|
| LMArena Instruction Following | 1254 | — |
Long Context Not comparable
Magistral Medium: 39.3 (#178), Qwen2.5 14B Instruct: —
| Benchmark | Magistral Medium | Qwen2.5 14B Instruct |
|---|---|---|
| LMArena Longer Query | 1295 | — |
Writing & Preference Not comparable
Magistral Medium: 46.5 (#214), Qwen2.5 14B Instruct: —
| Benchmark | Magistral Medium | Qwen2.5 14B Instruct |
|---|---|---|
| LMArena Text | 1255 | — |
| LMArena Creative Writing | 1245 | — |
| LMArena Multi-Turn | 1275 | — |
Frequently asked questions
Is Magistral Medium better than Qwen2.5 14B Instruct?
Magistral Medium has enough public results to be ranked (#224); Qwen2.5 14B Instruct does not yet, so treat this comparison as directional.
Which is cheaper, Magistral Medium or Qwen2.5 14B Instruct?
Qwen2.5 14B Instruct is cheaper. It lists at $0.35 per million input tokens and $1.40 per million output tokens; Magistral Medium lists at $2 and $5.
Is Magistral Medium or Qwen2.5 14B Instruct better for coding?
Magistral Medium scores higher on coding benchmarks: 38.6 versus 37.1 in the Noometry coding category.
Which has the bigger context window?
Qwen2.5 14B Instruct does, with 131K tokens against 128K.
How many benchmarks do Magistral Medium and Qwen2.5 14B Instruct share?
0 benchmarks have published results for both models. Magistral Medium has 22 scored results on Noometry and Qwen2.5 14B Instruct has 3.