Model comparison
Mistral Medium 3.5 vs Qwen3.8 Max
Qwen3.8 Max is the stronger model overall, scoring 56.8 to 40.2 on the Noometry Index.
Last verified . 20 shared benchmarks.
Summary
- They share 20 benchmarks with published results for both. Mistral Medium 3.5 scores higher in 1 category and Qwen3.8 Max in 8 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Qwen3.8 Max leads 54.4 to 17.3.
- The biggest single-benchmark swing is NYT Connections (extended): 12.9% for Mistral Medium 3.5 and 88.3% for Qwen3.8 Max.
- Both cost about the same: $1.50 input and $7.50 output per million tokens.
- Qwen3.8 Max accepts more context: 1M tokens versus 262K.
- Mistral Medium 3.5 has downloadable open weights; the other is API-only.
Side by side
| Mistral Medium 3.5 | Qwen3.8 Max | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 40.2 | 56.8 |
| Released | — | 2026-08-02 |
| Weights | Open | Proprietary |
| Context window | 262K | 1M |
| Max output | 210K | 131K |
| Input $ / M tokens | $1.50 | $2 |
| Output $ / M tokens | $7.50 | $6 |
| Results tracked | 22 | 39 |
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Category by category
Coding Qwen3.8 Max leads
Mistral Medium 3.5: 36.0 (#213), Qwen3.8 Max: 53.5 (#29)
| Benchmark | Mistral Medium 3.5 | Qwen3.8 Max |
|---|---|---|
| LMArena WebDev | 1264 | 1674 |
| LMArena Coding | 1461 | 1502 |
| DeepSWE | — | 57.5% |
| FrontierSWE | — | 17.8% |
| SciCode | — | 53.2% |
Agentic & Tool Use Not comparable
Mistral Medium 3.5: —, Qwen3.8 Max: 45.4 (#14)
| Benchmark | Mistral Medium 3.5 | Qwen3.8 Max |
|---|---|---|
| APEX-Agents | — | 63.3% |
| τ²-bench Banking | — | 55.1% |
| GDP.pdf | — | 23.2% |
Reasoning Qwen3.8 Max leads
Mistral Medium 3.5: 17.3 (#295), Qwen3.8 Max: 54.4 (#26)
| Benchmark | Mistral Medium 3.5 | Qwen3.8 Max |
|---|---|---|
| NYT Connections (extended) | 12.9% | 88.3% |
| LMArena Hard Prompts | 1436 | 1496 |
| Epoch Capabilities Index | 141.35 | 156.41 |
| Kagi LLM Benchmark | 41.4% | — |
| CritPt | — | 20% |
| Chess Puzzles | — | 40% |
| Mystery Game Puzzles | — | 38% |
| DTBench | — | 92% |
| LMCA | — | 46.2% |
Math Qwen3.8 Max leads
Mistral Medium 3.5: 39.1 (#113), Qwen3.8 Max: 73.2 (#20)
| Benchmark | Mistral Medium 3.5 | Qwen3.8 Max |
|---|---|---|
| LMArena Math | 1431 | 1499 |
| FrontierMath (Tiers 1-3) | — | 74.7% |
| FrontierMath Tier 4 | — | 46.3% |
| OTIS Mock AIME 2024-2025 | — | 100% |
| ProofBench | — | 58% |
Knowledge Qwen3.8 Max leads
Mistral Medium 3.5: 40.0 (#126), Qwen3.8 Max: 61.7 (#27)
| Benchmark | Mistral Medium 3.5 | Qwen3.8 Max |
|---|---|---|
| LMArena Expert | 1432 | 1507 |
| GPQA Diamond | — | 92.7% |
| SimpleQA Verified | — | 47.3% |
Multimodal Mistral Medium 3.5 leads
Mistral Medium 3.5: 38.3 (#65), Qwen3.8 Max: 37.2 (#75)
| Benchmark | Mistral Medium 3.5 | Qwen3.8 Max |
|---|---|---|
| LMArena Vision | 1223 | 1314 |
| Furniture Assembly | — | 20% |
Multilingual Qwen3.8 Max leads
Mistral Medium 3.5: 51.9 (#100), Qwen3.8 Max: 56.7 (#18)
| Benchmark | Mistral Medium 3.5 | Qwen3.8 Max |
|---|---|---|
| LMArena Non-English | 1404 | 1472 |
| LMArena Chinese | 1442 | 1538 |
| LMArena French | 1448 | 1503 |
| LMArena German | 1451 | 1483 |
| LMArena Korean | 1385 | 1461 |
| LMArena Russian | 1395 | 1481 |
| LMArena Spanish | 1409 | 1492 |
| LMArena Japanese | — | 1467 |
Instruction Following Qwen3.8 Max leads
Mistral Medium 3.5: 74.6 (#90), Qwen3.8 Max: 77.6 (#17)
| Benchmark | Mistral Medium 3.5 | Qwen3.8 Max |
|---|---|---|
| LMArena Instruction Following | 1415 | 1479 |
Long Context Qwen3.8 Max leads
Mistral Medium 3.5: 43.2 (#103), Qwen3.8 Max: 45.6 (#31)
| Benchmark | Mistral Medium 3.5 | Qwen3.8 Max |
|---|---|---|
| LMArena Longer Query | 1415 | 1489 |
Writing & Preference Qwen3.8 Max leads
Mistral Medium 3.5: 58.5 (#117), Qwen3.8 Max: 67.1 (#30)
| Benchmark | Mistral Medium 3.5 | Qwen3.8 Max |
|---|---|---|
| LMArena Text | 1421 | 1483 |
| LMArena Creative Writing | 1374 | 1479 |
| LMArena Multi-Turn | 1423 | 1489 |
| EQ-Bench 4 | 993 | — |
Frequently asked questions
Is Mistral Medium 3.5 better than Qwen3.8 Max?
Qwen3.8 Max is the stronger model overall, scoring 56.8 to 40.2 on the Noometry Index.
Which is cheaper, Mistral Medium 3.5 or Qwen3.8 Max?
Qwen3.8 Max is cheaper. It lists at $2 per million input tokens and $6 per million output tokens; Mistral Medium 3.5 lists at $1.50 and $7.50.
Is Mistral Medium 3.5 or Qwen3.8 Max better for coding?
Qwen3.8 Max scores higher on coding benchmarks: 53.5 versus 36.0 in the Noometry coding category.
Which has the bigger context window?
Qwen3.8 Max does, with 1M tokens against 262K.
How many benchmarks do Mistral Medium 3.5 and Qwen3.8 Max share?
20 benchmarks have published results for both models. Mistral Medium 3.5 has 22 scored results on Noometry and Qwen3.8 Max has 39.