Qwen3.7-Max
Alibaba's flagship agent model — 1M-token context, extended-thinking mode, 56.6 on the Artificial Analysis Intelligence Index v4.0 (5th overall, #1 Chinese). 50.8% on Terminal-Bench Hard. Designed for long-horizon agent workloads (hundreds-to-thousands of steps). Closed-weight, $2.50/$7.50 per 1M tokens.
Specifications
- Context window
- 1,000,000 tokens
- Modality
- text
- License
- proprietary
- Family
- Qwen
- Release date
- 2026-05-20
Links
Provider status
Timeline
Released
Initial public availability.
Pricing changes, lineage updates, and new benchmark results appear here as they happen. See the releases feed for the latest vendor activity.
API pricing
| Tier | Input / 1M tokens | Output / 1M tokens | Cache read | As of |
|---|---|---|---|---|
| standard | $2.50 | $7.50 | — | 2026-05-20 · source ↗ |
Looking for consumer subscriptions? See Alibaba's plans →
Benchmarks
Model Index →| Benchmark | Score | Setting | Measured | Source |
|---|---|---|---|---|
| MMLU-Pro general knowledge | 83.7% | 5-shot CoT | 2026-05-20 | source ↗ |
| GPQA Diamond reasoning | 83.0% | 0-shot CoT | 2026-05-20 | source ↗ |
| HumanEval coding | 93.9% | pass@1 | 2026-05-20 | source ↗ |
| Aider Polyglot coding | 78.4% | edit + test | 2026-05-20 | source ↗ |
| AIME 2025 math | 90.4% | CoT extended | 2026-05-20 | source ↗ |
| LiveCodeBench coding | 71.0% | pass@1, post-cutoff | 2026-05-20 | source ↗ |
Want to see how Qwen3.7-Max ranks across these? Open the Model Index leaderboard →
Infrastructure context
All intelligence →Compute, silicon, and capex events that shape Qwen3.7-Max's economics.
- Capexdirect
Alibaba commits RMB 380B (~$53B) to AI + cloud infrastructure over 3 years
Alibaba's February 2025 commitment of RMB 380B over three years — its largest infrastructure spend ever — funds new ACS (Alibaba Cloud Smart) data centers in Inner Mongolia, Heilongjiang, and Guizhou. Powers training for the Qwen3 / Qwen3.x family including Qwen3.7-Max. Heavy use of Ascend 910C plus a residual H800 fleet.
Capex: $53B
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