Model comparison
Mistral Medium vs Qwen3.5 397B-A17B
Qwen3.5 397B-A17B is the stronger model overall, scoring 45.7 to 36.0 on the Noometry Index.
Last verified . 23 shared benchmarks.
Mistral AI
Alibaba (Qwen)Summary
- They share 23 benchmarks with published results for both. Mistral Medium scores higher in 0 categories and Qwen3.5 397B-A17B in 10 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3.5 397B-A17B leads 53.3 to 24.9.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 32.2% for Mistral Medium and 88.9% for Qwen3.5 397B-A17B.
- Qwen3.5 397B-A17B is cheaper at $0.60 / $3.60 per million input/output tokens, against $1.50 / $7.50 for Mistral Medium.
Side by side
| Mistral Medium | Qwen3.5 397B-A17B | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 36.0 | 45.7 |
| Released | 2023-12-11 | 2026-02-01 |
| Weights | Open | Open |
| Context window | 262K | 262K |
| Max output | 262K | 66K |
| Input $ / M tokens | $1.50 | $0.60 |
| Output $ / M tokens | $7.50 | $3.60 |
| Results tracked | 36 | 36 |
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Category by category
Coding Qwen3.5 397B-A17B leads
Mistral Medium: 33.8 (#241), Qwen3.5 397B-A17B: 41.7 (#108)
| Benchmark | Mistral Medium | Qwen3.5 397B-A17B |
|---|---|---|
| LMArena Coding | 1434 | 1464 |
| FrontierCode | 8% | — |
| LMArena WebDev | — | 1400 |
| SciCode | 40.2% | — |
| WeirdML | 43.7% | — |
| ALE-Bench | 763.98 | — |
Agentic & Tool Use Qwen3.5 397B-A17B leads
Mistral Medium: 28.1 (#84), Qwen3.5 397B-A17B: 33.2 (#51)
| Benchmark | Mistral Medium | Qwen3.5 397B-A17B |
|---|---|---|
| APEX-Agents | — | 24.9% |
| Berkeley Function Calling Leaderboard | 37.7% | — |
| τ²-bench Airline | — | 81.5% |
| τ²-bench Banking | — | 9.8% |
| τ²-bench Retail | — | 84.4% |
| τ²-bench Telecom | — | 97.8% |
Reasoning Qwen3.5 397B-A17B leads
Mistral Medium: 23.3 (#165), Qwen3.5 397B-A17B: 33.6 (#62)
| Benchmark | Mistral Medium | Qwen3.5 397B-A17B |
|---|---|---|
| Kagi LLM Benchmark | 50% | 73.7% |
| LMArena Hard Prompts | 1426 | 1448 |
| DTBench | 75.5% | 87.5% |
| LMCA | 26.1% | 37.9% |
| NYT Connections (extended) | — | 58.9% |
| CritPt | 0% | — |
| Chess Puzzles | — | 13% |
| Thematic Generalization | — | 65.1% |
| Mystery Game Puzzles | — | 18% |
| Surface Evolver Bench | 26.9% | — |
| Epoch Capabilities Index | — | 146.64 |
Math Qwen3.5 397B-A17B leads
Mistral Medium: 27.2 (#238), Qwen3.5 397B-A17B: 44.9 (#64)
| Benchmark | Mistral Medium | Qwen3.5 397B-A17B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 32.2% | 88.9% |
| LMArena Math | 1409 | 1455 |
| FrontierMath (Tiers 1-3) | — | 31.2% |
| ProofBench | 9% | — |
| MATH Level 5 | 81.6% | — |
| FrontierMath (Feb 2025 set) | 0.3% | — |
Knowledge Qwen3.5 397B-A17B leads
Mistral Medium: 24.9 (#260), Qwen3.5 397B-A17B: 53.3 (#53)
| Benchmark | Mistral Medium | Qwen3.5 397B-A17B |
|---|---|---|
| GPQA Diamond | 59.5% | 86.4% |
| LMArena Expert | 1408 | 1461 |
| Humanity's Last Exam | 4.5% | — |
| Vectara Hallucination Rate | 22.7% | — |
Multimodal Qwen3.5 397B-A17B leads
Mistral Medium: 34.6 (#82), Qwen3.5 397B-A17B: 40.0 (#42)
| Benchmark | Mistral Medium | Qwen3.5 397B-A17B |
|---|---|---|
| LMArena Vision | 1172 | 1262 |
Multilingual Qwen3.5 397B-A17B leads
Mistral Medium: 52.3 (#86), Qwen3.5 397B-A17B: 54.0 (#56)
| Benchmark | Mistral Medium | Qwen3.5 397B-A17B |
|---|---|---|
| LMArena Non-English | 1408 | 1431 |
| LMArena Chinese | 1448 | 1501 |
| LMArena French | 1460 | 1461 |
| LMArena German | 1433 | 1447 |
| LMArena Japanese | 1378 | 1427 |
| LMArena Korean | 1382 | 1382 |
| LMArena Russian | 1411 | 1429 |
| LMArena Spanish | 1433 | 1443 |
Instruction Following Qwen3.5 397B-A17B leads
Mistral Medium: 73.9 (#111), Qwen3.5 397B-A17B: 75.2 (#73)
| Benchmark | Mistral Medium | Qwen3.5 397B-A17B |
|---|---|---|
| LMArena Instruction Following | 1398 | 1424 |
Long Context Qwen3.5 397B-A17B leads
Mistral Medium: 42.9 (#108), Qwen3.5 397B-A17B: 44.1 (#71)
| Benchmark | Mistral Medium | Qwen3.5 397B-A17B |
|---|---|---|
| LMArena Longer Query | 1406 | 1442 |
Writing & Preference Qwen3.5 397B-A17B leads
Mistral Medium: 60.2 (#97), Qwen3.5 397B-A17B: 62.5 (#74)
| Benchmark | Mistral Medium | Qwen3.5 397B-A17B |
|---|---|---|
| LMArena Text | 1424 | 1438 |
| LMArena Creative Writing | 1391 | 1401 |
| LMArena Multi-Turn | 1418 | 1447 |
| Short-Story Creative Writing | 77.3% | — |
| EQ-Bench Creative Writing | — | 1478 |
Frequently asked questions
Is Mistral Medium better than Qwen3.5 397B-A17B?
Qwen3.5 397B-A17B is the stronger model overall, scoring 45.7 to 36.0 on the Noometry Index.
Which is cheaper, Mistral Medium or Qwen3.5 397B-A17B?
Qwen3.5 397B-A17B is cheaper. It lists at $0.60 per million input tokens and $3.60 per million output tokens; Mistral Medium lists at $1.50 and $7.50.
Is Mistral Medium or Qwen3.5 397B-A17B better for coding?
Qwen3.5 397B-A17B scores higher on coding benchmarks: 41.7 versus 33.8 in the Noometry coding category.
Which has the bigger context window?
Both accept 262K tokens.
How many benchmarks do Mistral Medium and Qwen3.5 397B-A17B share?
23 benchmarks have published results for both models. Mistral Medium has 36 scored results on Noometry and Qwen3.5 397B-A17B has 36.