Qwen3.8-MaxvsQwen3.7 Max
Across 3 shared benchmarks, Qwen3.8-Max leads overall: Qwen3.8-Max wins 3, Qwen3.7 Max wins 0, with 0 ties and an average score difference of +3.33.
Qwen3.8-Max
阿里巴巴 · 2026-08-03 · Reasoning model
Qwen3.7 Max
阿里巴巴 · 2026-05-20 · Reasoning model
Qwen3.8-Max3 wins(100%)(0%)0 winsQwen3.7 Max
Benchmark scores
Grouped by capability, sorted by largest gap within each. 3 shared benchmarks.
Coding and Software Engineer
Qwen3.8-Max 1/1| Benchmark | Qwen3.8-Max | Qwen3.7 Max | Diff |
|---|---|---|---|
| SWE-Bench Pro - Public | 67.705 / 57极高强度思考（工具） | 60.6012 / 57Thinking (With Tools) | +7.10 |
General Evaluation
Qwen3.8-Max 1/1| Benchmark | Qwen3.8-Max | Qwen3.7 Max | Diff |
|---|---|---|---|
| GPQA Diamond | 92.6021 / 226极高强度思考（无工具） | 92.4022 / 226最高（无工具） | +0.20 |
General Knowledge
Qwen3.8-Max 1/1| Benchmark | Qwen3.8-Max | Qwen3.7 Max | Diff |
|---|---|---|---|
| HLE | 56.2013 / 181极高强度思考（工具） | 53.5018 / 181Thinking (With Tools) | +2.70 |
Specs
| Field | Qwen3.8-Max | Qwen3.7 Max |
|---|---|---|
| Publisher | 阿里巴巴 | 阿里巴巴 |
| Release date | 2026-08-03 | 2026-05-20 |
| Model type | Reasoning model | Reasoning model |
| Architecture | MoE | Dense |
| Parameters | 2.4T | Not available |
| Context length | 1M | 1M |
| Max output | 128K | 64K |
API pricing
Prices use DataLearner records when available; missing fields are not inferred.
| Item | Qwen3.8-Max | Qwen3.7 Max |
|---|---|---|
| Text input | ¥12 / 1M tokens | ¥12 / 1M tokens |
| Text output | ¥36 / 1M tokens | ¥36 / 1M tokens |
| Cache read | ¥1.5 / 1M tokens | Not public |
Summary
- Qwen3.8-Maxleads in:Coding and Software Engineer (1/1), General Evaluation (1/1), General Knowledge (1/1)
On average across the 3 shared benchmarks, Qwen3.8-Max scores 3.33 higher.
Largest single-benchmark gap: SWE-Bench Pro - Public — Qwen3.8-Max 67.70 vs Qwen3.7 Max 60.60 (+7.10).
Page generated from structured model, pricing and benchmark records. No real-time LLM is used to write the prose.