Model comparison
Qwen3.7 Max vs Qwen3.8 Max
Qwen3.8 Max is the stronger model overall, scoring 56.8 to 51.5 on the Noometry Index.
Last verified . 27 shared benchmarks.
Summary
- They share 27 benchmarks with published results for both. Qwen3.7 Max scores higher in 1 category and Qwen3.8 Max in 8 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in agentic & tool use, where Qwen3.8 Max leads 45.4 to 22.1.
- The biggest single-benchmark swing is ProofBench: 26% for Qwen3.7 Max and 58% for Qwen3.8 Max.
- Qwen3.8 Max is cheaper at $2 / $6 per million input/output tokens, against $2.50 / $7.50 for Qwen3.7 Max.
Side by side
| Qwen3.7 Max | Qwen3.8 Max | |
|---|---|---|
| Provider | Alibaba (Qwen) | Alibaba (Qwen) |
| Noometry Index | 51.5 | 56.8 |
| Released | 2026-05-19 | 2026-08-02 |
| Weights | Proprietary | Proprietary |
| Context window | 1M | 1M |
| Max output | 131K | 131K |
| Input $ / M tokens | $2.50 | $2 |
| Output $ / M tokens | $7.50 | $6 |
| Results tracked | 33 | 39 |
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Category by category
Coding Qwen3.8 Max leads
Qwen3.7 Max: 50.4 (#45), Qwen3.8 Max: 53.5 (#29)
| Benchmark | Qwen3.7 Max | Qwen3.8 Max |
|---|---|---|
| LMArena WebDev | 1515 | 1674 |
| SciCode | 48.8% | 53.2% |
| LMArena Coding | 1498 | 1502 |
| SWE-bench Verified | 77.3% | — |
| DeepSWE | — | 57.5% |
| FrontierSWE | — | 17.8% |
| ALE-Bench | 1,189 | — |
Agentic & Tool Use Qwen3.8 Max leads
Qwen3.7 Max: 22.1 (#135), Qwen3.8 Max: 45.4 (#14)
| Benchmark | Qwen3.7 Max | Qwen3.8 Max |
|---|---|---|
| APEX-Agents | — | 63.3% |
| τ²-bench Banking | — | 55.1% |
| GBAEval | 0.4% | — |
| GDP.pdf | — | 23.2% |
Reasoning Qwen3.8 Max leads
Qwen3.7 Max: 49.2 (#38), Qwen3.8 Max: 54.4 (#26)
| Benchmark | Qwen3.7 Max | Qwen3.8 Max |
|---|---|---|
| NYT Connections (extended) | 85.1% | 88.3% |
| CritPt | 13.4% | 20% |
| Chess Puzzles | 19% | 40% |
| LMArena Hard Prompts | 1483 | 1496 |
| Mystery Game Puzzles | 32% | 38% |
| DTBench | 92.3% | 92% |
| LMCA | 44% | 46.2% |
| Epoch Capabilities Index | 153.68 | 156.41 |
| SimpleBench | 70.4% | — |
| EBR-Bench | 9.5% | — |
Math Qwen3.8 Max leads
Qwen3.7 Max: 62.4 (#32), Qwen3.8 Max: 73.2 (#20)
| Benchmark | Qwen3.7 Max | Qwen3.8 Max |
|---|---|---|
| FrontierMath (Tiers 1-3) | 64.6% | 74.7% |
| FrontierMath Tier 4 | 34.1% | 46.3% |
| OTIS Mock AIME 2024-2025 | 95.6% | 100% |
| ProofBench | 26% | 58% |
| LMArena Math | 1490 | 1499 |
Knowledge Too close to call
Qwen3.7 Max: 61.6 (#28), Qwen3.8 Max: 61.7 (#27)
| Benchmark | Qwen3.7 Max | Qwen3.8 Max |
|---|---|---|
| GPQA Diamond | 90.9% | 92.7% |
| SimpleQA Verified | 55.8% | 47.3% |
| LMArena Expert | 1488 | 1507 |
Multimodal Not comparable
Qwen3.7 Max: —, Qwen3.8 Max: 37.2 (#75)
| Benchmark | Qwen3.7 Max | Qwen3.8 Max |
|---|---|---|
| LMArena Vision | — | 1314 |
| Furniture Assembly | — | 20% |
Multilingual Too close to call
Qwen3.7 Max: 56.9 (#15), Qwen3.8 Max: 56.7 (#18)
| Benchmark | Qwen3.7 Max | Qwen3.8 Max |
|---|---|---|
| LMArena Non-English | 1474 | 1472 |
| LMArena Chinese | 1530 | 1538 |
| LMArena Russian | 1484 | 1481 |
| LMArena French | — | 1503 |
| LMArena German | — | 1483 |
| LMArena Japanese | — | 1467 |
| LMArena Korean | — | 1461 |
| LMArena Spanish | — | 1492 |
Instruction Following Too close to call
Qwen3.7 Max: 76.7 (#38), Qwen3.8 Max: 77.6 (#17)
| Benchmark | Qwen3.7 Max | Qwen3.8 Max |
|---|---|---|
| LMArena Instruction Following | 1460 | 1479 |
Long Context Too close to call
Qwen3.7 Max: 45.4 (#40), Qwen3.8 Max: 45.6 (#31)
| Benchmark | Qwen3.7 Max | Qwen3.8 Max |
|---|---|---|
| LMArena Longer Query | 1482 | 1489 |
Writing & Preference Qwen3.8 Max leads
Qwen3.7 Max: 65.0 (#54), Qwen3.8 Max: 67.1 (#30)
| Benchmark | Qwen3.7 Max | Qwen3.8 Max |
|---|---|---|
| LMArena Text | 1476 | 1483 |
| LMArena Creative Writing | 1449 | 1479 |
| LMArena Multi-Turn | 1481 | 1489 |
| EQ-Bench 4 | 1110 | — |
Frequently asked questions
Is Qwen3.7 Max better than Qwen3.8 Max?
Qwen3.8 Max is the stronger model overall, scoring 56.8 to 51.5 on the Noometry Index.
Which is cheaper, Qwen3.7 Max or Qwen3.8 Max?
Qwen3.8 Max is cheaper. It lists at $2 per million input tokens and $6 per million output tokens; Qwen3.7 Max lists at $2.50 and $7.50.
Is Qwen3.7 Max or Qwen3.8 Max better for coding?
Qwen3.8 Max scores higher on coding benchmarks: 53.5 versus 50.4 in the Noometry coding category.
Which has the bigger context window?
Both accept 1M tokens.
How many benchmarks do Qwen3.7 Max and Qwen3.8 Max share?
27 benchmarks have published results for both models. Qwen3.7 Max has 33 scored results on Noometry and Qwen3.8 Max has 39.