DeepSeek-V4-Pro-0813 vs Qwen3.6-27B: Specs & Benchmark Comparison
DeepSeek-V4-Pro-0813 is developed by DeepSeek, while Qwen3.6-27B comes from Alibaba. Qwen3.6-27B was released in April 2026, and DeepSeek-V4-Pro-0813 followed 4 months later in August 2026. DeepSeek-V4-Pro-0813 is the larger model at roughly 1.6 trillion parameters, against 28 billion for Qwen3.6-27B.
The two models share 2 published benchmarks. DeepSeek-V4-Pro-0813 leads on 2 of them. The widest gaps are on Humanity's Last Exam, where DeepSeek-V4-Pro-0813 scores 60.0% against 24.0%; NL2Repo, where DeepSeek-V4-Pro-0813 scores 61.5% against 36.2%. Averaged across everything we track, DeepSeek-V4-Pro-0813 sits at 60.6% and Qwen3.6-27B at 77.5%.
Qwen3.6-27B is the cheaper API at $0.60 per million input tokens and $3.60 per million output tokens, roughly 2 times cheaper than DeepSeek-V4-Pro-0813 at $1.32 and $3.96. DeepSeek-V4-Pro-0813 takes the larger context window at 1M tokens, compared with 262K for Qwen3.6-27B. DeepSeek-V4-Pro-0813 accepts text as input, while Qwen3.6-27B accepts text and images.
| Characteristic | DeepSeek-V4-Pro-0813 | Qwen3.6-27B |
|---|---|---|
| Company | DeepSeek | Alibaba |
| Release Date | August 13, 2026 | April 21, 2026 |
| Parameters | 1.6T | 28B |
| Multimodal | No | Yes |
| Context (input) | 1.0M | 262K |
| Context (output) | 393K | 66K |
| Input Price / 1M | $1.32 | $0.60 |
| Output Price / 1M | $3.96 | $3.60 |
| Average Score | 60.6% | 77.5% |
| Benchmarks | ||
| Humanity's Last Exam | 60.0% | 24.0% |
| NL2Repo | 61.5% | 36.2% |
Visual Benchmark Comparison
Verdict
DeepSeek-V4-Pro-0813 leads in 2 out of 4 comparison categories.
Both models show comparable average scores: DeepSeek-V4-Pro-0813 — 0.6, Qwen3.6-27B — 0.8.
Qwen3.6-27B is 1.3x cheaper: input $0.60/1M vs $1.32/1M tokens.
DeepSeek-V4-Pro-0813 supports a larger context: 1M vs 262K tokens.
DeepSeek-V4-Pro-0813 is newer: released 8/13/2026 vs 4/21/2026.
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Frequently Asked Questions
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The DeepSeek-V4-Pro-0813 and Qwen3.6-27B comparison is updated for 2026. Data includes benchmark results, API pricing, context window size and other specifications. For more detailed information, visit the DeepSeek-V4-Pro-0813 or Qwen3.6-27B page. See also the complete list of AI model comparisons.