Model comparison
Mistral Medium vs Qwen Turbo
Mistral Medium is the stronger model overall, scoring 36.3 to 27.1 on the Noometry Index. Qwen Turbo costs 34× less per token, which makes it the better buy when Mistral Medium's lead doesn't matter for your workload.
Last verified . 3 shared benchmarks.
Mistral AI
Alibaba (Qwen)Summary
- They share 3 benchmarks with published results for both. Mistral Medium scores higher in 2 categories and Qwen Turbo in 0 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in math, where Mistral Medium leads 28.1 to 15.3.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 32.2% for Mistral Medium and 6.1% for Qwen Turbo.
- Qwen Turbo is cheaper at $0.05 / $0.20 per million input/output tokens, against $1.50 / $7.50 for Mistral Medium.
- Qwen Turbo accepts more context: 1M tokens versus 262K.
- Mistral Medium has downloadable open weights; the other is API-only.
Side by side
| Mistral Medium | Qwen Turbo | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 36.3 | 27.1 |
| Released | 2023-12-11 | 2024-11-01 |
| Weights | Open | Proprietary |
| Context window | 262K | 1M |
| Max output | 262K | 16K |
| Input $ / M tokens | $1.50 | $0.05 |
| Output $ / M tokens | $7.50 | $0.20 |
| Results tracked | 36 | 3 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Not comparable
Mistral Medium: 34.2 (#243), Qwen Turbo: —
| Benchmark | Mistral Medium | Qwen Turbo |
|---|---|---|
| FrontierCode | 8% | — |
| SciCode | 40.2% | — |
| WeirdML | 43.7% | — |
| LMArena Coding | 1434 | — |
| ALE-Bench | 763.98 | — |
Agentic & Tool Use Not comparable
Mistral Medium: 28.3 (#90), Qwen Turbo: —
| Benchmark | Mistral Medium | Qwen Turbo |
|---|---|---|
| Berkeley Function Calling Leaderboard | 37.7% | — |
Reasoning Not comparable
Mistral Medium: 24.0 (#167), Qwen Turbo: —
| Benchmark | Mistral Medium | Qwen Turbo |
|---|---|---|
| Kagi LLM Benchmark | 50% | — |
| CritPt | 0% | — |
| LMArena Hard Prompts | 1426 | — |
| DTBench | 75.5% | — |
| LMCA | 26.1% | — |
| Surface Evolver Bench | 26.9% | — |
Math Mistral Medium leads
Mistral Medium: 28.1 (#245), Qwen Turbo: 15.3 (#297)
| Benchmark | Mistral Medium | Qwen Turbo |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 32.2% | 6.1% |
| MATH Level 5 | 81.6% | 56.2% |
| ProofBench | 9% | — |
| LMArena Math | 1408 | — |
| FrontierMath (Feb 2025 set) | 0.3% | — |
Knowledge Mistral Medium leads
Mistral Medium: 25.0 (#265), Qwen Turbo: 22.2 (#272)
| Benchmark | Mistral Medium | Qwen Turbo |
|---|---|---|
| GPQA Diamond | 59.5% | 41.8% |
| Humanity's Last Exam | 4.5% | — |
| Vectara Hallucination Rate | 22.7% | — |
| LMArena Expert | 1408 | — |
Multimodal Not comparable
Mistral Medium: 35.3 (#88), Qwen Turbo: —
| Benchmark | Mistral Medium | Qwen Turbo |
|---|---|---|
| LMArena Vision | 1172 | — |
Multilingual Not comparable
Mistral Medium: 52.1 (#91), Qwen Turbo: —
| Benchmark | Mistral Medium | Qwen Turbo |
|---|---|---|
| LMArena Non-English | 1408 | — |
| LMArena Chinese | 1447 | — |
| LMArena French | 1459 | — |
| LMArena German | 1432 | — |
| LMArena Japanese | 1378 | — |
| LMArena Korean | 1380 | — |
| LMArena Russian | 1411 | — |
| LMArena Spanish | 1433 | — |
Instruction Following Not comparable
Mistral Medium: 73.7 (#116), Qwen Turbo: —
| Benchmark | Mistral Medium | Qwen Turbo |
|---|---|---|
| LMArena Instruction Following | 1398 | — |
Long Context Not comparable
Mistral Medium: 42.9 (#114), Qwen Turbo: —
| Benchmark | Mistral Medium | Qwen Turbo |
|---|---|---|
| LMArena Longer Query | 1406 | — |
Writing & Preference Not comparable
Mistral Medium: 60.0 (#103), Qwen Turbo: —
| Benchmark | Mistral Medium | Qwen Turbo |
|---|---|---|
| LMArena Text | 1424 | — |
| LMArena Creative Writing | 1391 | — |
| Short-Story Creative Writing | 77.3% | — |
| LMArena Multi-Turn | 1418 | — |
Frequently asked questions
Is Mistral Medium better than Qwen Turbo?
Mistral Medium is the stronger model overall, scoring 36.3 to 27.1 on the Noometry Index. Qwen Turbo costs 34× less per token, which makes it the better buy when Mistral Medium's lead doesn't matter for your workload.
Which is cheaper, Mistral Medium or Qwen Turbo?
Qwen Turbo is cheaper. It lists at $0.05 per million input tokens and $0.20 per million output tokens; Mistral Medium lists at $1.50 and $7.50.
Which has the bigger context window?
Qwen Turbo does, with 1M tokens against 262K.
How many benchmarks do Mistral Medium and Qwen Turbo share?
3 benchmarks have published results for both models. Mistral Medium has 36 scored results on Noometry and Qwen Turbo has 3.