DeepSeek-V3.1 vs Qwen3.7-Max
Direct spec comparison of DeepSeek-V3.1 (from DeepSeek) and Qwen3.7-Max (from Alibaba). Want a 3- or 4-way comparison? Open the multi-model tool →
 DeepSeek-V3.1DeepSeek |  Qwen3.7-MaxAlibaba | |
|---|---|---|
| Vendor | DeepSeek | Alibaba |
| Family | DeepSeek | Qwen |
| Release date | 2025-08-21 | 2026-05-20 |
| Context window | 128,000 tokens | 1,000,000 tokens |
| Parameters | 671B | — |
| Modality | text | text |
| License | MIT | proprietary |
| Source | open weights | proprietary |
| Description | Large MoE open-weight model. Predecessor to DeepSeek-V4. | 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. |
| Links | ||
| Benchmarks | ||
| MMLU-Pro | — | 83.7% |
| GPQA-D | — | 83.0% |
| HumanEval | — | 93.9% |
| Aider | — | 78.4% |
| AIME-25 | — | 90.4% |
| LiveCB | — | 71.0% |
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