specs at a glance
| Leaderboard rank | #11 of 13 |
|---|---|
| SWE-bench Verified | 80.4% |
| SWE-bench Pro | 60.6% |
| Terminal-Bench | 69.7 (TB2.0) |
| Input price / 1M | $1.25 |
| Output price / 1M | $3.75 |
| Context window | 1M |
| Open weights | No |
| Access | API (Alibaba Cloud) |
| Maker | Alibaba |
how good is Qwen3.7 Max at coding?
Qwen3.7 Max sits at #11 of 13 ranked models, posting 80.4% on SWE-bench Verified — 15.8 points behind #1 GPT-5.6 Sol. On the harder SWE-bench Pro it scores 60.6%. Terminal-Bench (agentic terminal work): 69.7 (TB2.0).
Score provenance: Vendor-reported (May 20, 2026), and the widest vendor-versus-independent gap on this board: vals.ai's bash-only harness measures Qwen 3.7 Max at 68.8% ±2.07, 11.6 points below Alibaba's claim — on that harness it would rank far down the table rather than here. Read the 80.4% as a best-case, own-scaffold number and weight it accordingly. Proprietary — the open-weights sibling is Qwen3.6-35B. Price: Alibaba Cloud (Singapore) promo $1.25/$3.75 per 1M; list $2.50/$7.50.
what does Qwen3.7 Max cost?
$1.25 per 1M input tokens and $3.75 per 1M output — #5 cheapest of the 13 models we track. Coding workloads are output-heavy, so weight the output rate when budgeting. Run your own volume through the AI API cost calculator for a monthly estimate.
where can you use it?
Available via API (Alibaba Cloud). As a proprietary model, you're on the maker's infrastructure and release schedule.
Full storyQwen3.7-Max Tops SWE-Bench Pro and Terminal-Bench 2.0
Ranked on our AI Coding Leaderboard — scores confirmed against primary sources only, updated 2026-07-17.