Model comparison
Mistral Medium vs Qwen3.7 Max
Qwen3.7 Max is the stronger model overall, scoring 51.5 to 36.3 on the Noometry Index.
Last verified . 20 shared benchmarks.
Mistral AI
Alibaba (Qwen)Summary
- They share 20 benchmarks with published results for both. Mistral Medium scores higher in 1 category and Qwen3.7 Max in 8 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3.7 Max leads 61.6 to 25.0.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 32.2% for Mistral Medium and 95.6% for Qwen3.7 Max.
- Mistral Medium is cheaper at $1.50 / $7.50 per million input/output tokens, against $2.50 / $7.50 for Qwen3.7 Max.
- Qwen3.7 Max accepts more context: 1M tokens versus 262K.
- Mistral Medium has downloadable open weights; the other is API-only.
Side by side
| Mistral Medium | Qwen3.7 Max | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 36.3 | 51.5 |
| Released | 2023-12-11 | 2026-05-19 |
| Weights | Open | Proprietary |
| Context window | 262K | 1M |
| Max output | 262K | 131K |
| Input $ / M tokens | $1.50 | $2.50 |
| Output $ / M tokens | $7.50 | $7.50 |
| Results tracked | 36 | 33 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Qwen3.7 Max leads
Mistral Medium: 34.2 (#243), Qwen3.7 Max: 50.4 (#45)
| Benchmark | Mistral Medium | Qwen3.7 Max |
|---|---|---|
| SciCode | 40.2% | 48.8% |
| LMArena Coding | 1434 | 1498 |
| ALE-Bench | 763.98 | 1,189 |
| SWE-bench Verified | — | 77.3% |
| FrontierCode | 8% | — |
| LMArena WebDev | — | 1515 |
| WeirdML | 43.7% | — |
Agentic & Tool Use Mistral Medium leads
Mistral Medium: 28.3 (#90), Qwen3.7 Max: 22.1 (#135)
| Benchmark | Mistral Medium | Qwen3.7 Max |
|---|---|---|
| Berkeley Function Calling Leaderboard | 37.7% | — |
| GBAEval | — | 0.4% |
Reasoning Qwen3.7 Max leads
Mistral Medium: 24.0 (#167), Qwen3.7 Max: 49.2 (#38)
| Benchmark | Mistral Medium | Qwen3.7 Max |
|---|---|---|
| CritPt | 0% | 13.4% |
| LMArena Hard Prompts | 1426 | 1483 |
| DTBench | 75.5% | 92.3% |
| LMCA | 26.1% | 44% |
| SimpleBench | — | 70.4% |
| Kagi LLM Benchmark | 50% | — |
| NYT Connections (extended) | — | 85.1% |
| Chess Puzzles | — | 19% |
| EBR-Bench | — | 9.5% |
| Mystery Game Puzzles | — | 32% |
| Surface Evolver Bench | 26.9% | — |
| Epoch Capabilities Index | — | 153.68 |
Math Qwen3.7 Max leads
Mistral Medium: 28.1 (#245), Qwen3.7 Max: 62.4 (#32)
| Benchmark | Mistral Medium | Qwen3.7 Max |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 32.2% | 95.6% |
| ProofBench | 9% | 26% |
| LMArena Math | 1408 | 1490 |
| FrontierMath (Tiers 1-3) | — | 64.6% |
| FrontierMath Tier 4 | — | 34.1% |
| MATH Level 5 | 81.6% | — |
| FrontierMath (Feb 2025 set) | 0.3% | — |
Knowledge Qwen3.7 Max leads
Mistral Medium: 25.0 (#265), Qwen3.7 Max: 61.6 (#28)
| Benchmark | Mistral Medium | Qwen3.7 Max |
|---|---|---|
| GPQA Diamond | 59.5% | 90.9% |
| LMArena Expert | 1408 | 1488 |
| Humanity's Last Exam | 4.5% | — |
| SimpleQA Verified | — | 55.8% |
| Vectara Hallucination Rate | 22.7% | — |
Multimodal Not comparable
Mistral Medium: 35.3 (#88), Qwen3.7 Max: —
| Benchmark | Mistral Medium | Qwen3.7 Max |
|---|---|---|
| LMArena Vision | 1172 | — |
Multilingual Qwen3.7 Max leads
Mistral Medium: 52.1 (#91), Qwen3.7 Max: 56.9 (#15)
| Benchmark | Mistral Medium | Qwen3.7 Max |
|---|---|---|
| LMArena Non-English | 1408 | 1474 |
| LMArena Chinese | 1447 | 1530 |
| LMArena Russian | 1411 | 1484 |
| LMArena French | 1459 | — |
| LMArena German | 1432 | — |
| LMArena Japanese | 1378 | — |
| LMArena Korean | 1380 | — |
| LMArena Spanish | 1433 | — |
Instruction Following Qwen3.7 Max leads
Mistral Medium: 73.7 (#116), Qwen3.7 Max: 76.7 (#38)
| Benchmark | Mistral Medium | Qwen3.7 Max |
|---|---|---|
| LMArena Instruction Following | 1398 | 1460 |
Long Context Qwen3.7 Max leads
Mistral Medium: 42.9 (#114), Qwen3.7 Max: 45.4 (#40)
| Benchmark | Mistral Medium | Qwen3.7 Max |
|---|---|---|
| LMArena Longer Query | 1406 | 1482 |
Writing & Preference Qwen3.7 Max leads
Mistral Medium: 60.0 (#103), Qwen3.7 Max: 65.0 (#54)
| Benchmark | Mistral Medium | Qwen3.7 Max |
|---|---|---|
| LMArena Text | 1424 | 1476 |
| LMArena Creative Writing | 1391 | 1449 |
| LMArena Multi-Turn | 1418 | 1481 |
| Short-Story Creative Writing | 77.3% | — |
| EQ-Bench 4 | — | 1110 |
Frequently asked questions
Is Mistral Medium better than Qwen3.7 Max?
Qwen3.7 Max is the stronger model overall, scoring 51.5 to 36.3 on the Noometry Index.
Which is cheaper, Mistral Medium or Qwen3.7 Max?
Mistral Medium is cheaper. It lists at $1.50 per million input tokens and $7.50 per million output tokens; Qwen3.7 Max lists at $2.50 and $7.50.
Is Mistral Medium or Qwen3.7 Max better for coding?
Qwen3.7 Max scores higher on coding benchmarks: 50.4 versus 34.2 in the Noometry coding category.
Which has the bigger context window?
Qwen3.7 Max does, with 1M tokens against 262K.
How many benchmarks do Mistral Medium and Qwen3.7 Max share?
20 benchmarks have published results for both models. Mistral Medium has 36 scored results on Noometry and Qwen3.7 Max has 33.