Qwen3.7 Max vs Qwen3.8 Max: Specs & Benchmark Comparison
Qwen3.7 Max and Qwen3.8 Max both come from Alibaba, Qwen3.7 Max was released in May 2026, and Qwen3.8 Max followed 3 months later in August 2026. Qwen3.8 Max has a published size of about 2.4 trillion parameters; Alibaba has not disclosed the parameter count of Qwen3.7 Max.
The two models share 8 published benchmarks. Qwen3.8 Max leads on 8 of them. The widest gaps are on SkillsBench, where Qwen3.8 Max scores 70.2% against 59.2%; NL2Repo, where Qwen3.8 Max scores 55.9% against 47.2%. Averaged across everything we track, Qwen3.7 Max sits at 73.6% and Qwen3.8 Max at 71.0%.
On price the two are close: Qwen3.7 Max costs $2.50 per million input tokens and $7.50 per million output tokens, Qwen3.8 Max $2.50 and $6.25. Both accept a context window of about 1M tokens. Qwen3.7 Max accepts text as input, while Qwen3.8 Max accepts text and images.
| Characteristic | Qwen3.7 Max | Qwen3.8 Max |
|---|---|---|
| Company | Alibaba | Alibaba |
| Release Date | May 19, 2026 | August 2, 2026 |
| Parameters | — | 2.4T |
| Multimodal | No | Yes |
| Context (input) | 1.0M | 1.0M |
| Context (output) | 66K | 131K |
| Input Price / 1M | $2.50 | $2.50 |
| Output Price / 1M | $7.50 | $6.25 |
| Average Score | 73.6% | 71.0% |
| Benchmarks | ||
| SkillsBench | 59.2% | 70.2% |
| NL2Repo | 47.2% | 55.9% |
| CoWorkBench | 67.2% | 74.8% |
| SWE-Bench Pro | 60.6% | 67.7% |
| QwenSVG | 80.4% | 85.7% |
| IFBench | 79.1% | 82.8% |
| Humanity's Last Exam | 41.4% | 43.6% |
| GPQA | 92.4% | 92.6% |
Visual Benchmark Comparison
Verdict
Qwen3.8 Max leads in 2 out of 4 comparison categories.
Both models show comparable average scores: Qwen3.7 Max — 0.7, Qwen3.8 Max — 0.7.
Qwen3.8 Max is 1.1x cheaper: input $2.50/1M vs $2.50/1M tokens.
Same context size: 1M tokens.
Qwen3.8 Max is newer: released 8/2/2026 vs 5/19/2026.
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Frequently Asked Questions
Which is better for coding — Qwen3.7 Max or Qwen3.8 Max?
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The Qwen3.7 Max and Qwen3.8 Max comparison is updated for 2026. Data includes benchmark results, API pricing, context window size and other specifications. For more detailed information, visit the Qwen3.7 Max or Qwen3.8 Max page. See also the complete list of AI model comparisons.