DeepSeek-V4-Pro vs Qwen3.6-27B
Direct spec comparison of DeepSeek-V4-Pro (from DeepSeek) and Qwen3.6-27B (from Alibaba). Want a 3- or 4-way comparison? Open the multi-model tool →
 DeepSeek-V4-ProDeepSeek |  Qwen3.6-27BAlibaba | |
|---|---|---|
| Vendor | DeepSeek | Alibaba |
| Family | DeepSeek | Qwen |
| Release date | 2026-04-22 | 2026-04-22 |
| Context window | 1,000,000 tokens | 262,144 tokens |
| Parameters | 1.6T (49B active) | 27B (dense) |
| Modality | text | text, vision, video |
| License | MIT | Apache-2.0 |
| Source | open weights | open weights |
| Description | DeepSeek's flagship open-weight MoE. 1.6T parameters with 49B activated, 1M-token context, and a hybrid attention scheme (CSA + HCA) that delivers long-context inference at ~27% of V3.2's FLOPs. | Alibaba's first dense open-weight in the 3.6 family. Strong agentic-coding scores (77.2 SWE-bench Verified, matching Claude 4.5 Opus on Terminal-Bench 2.0). Supports 201 languages and multimodal text/image/video input. |
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