DeepSeek-V4-Pro-0813 vs Qwen3.8-27B: Specs & Benchmark Comparison
DeepSeek-V4-Pro-0813 is developed by DeepSeek, while Qwen3.8-27B comes from Alibaba. Both were released in August 2026. DeepSeek-V4-Pro-0813 is the larger model at roughly 1.6 trillion parameters, against 28 billion for Qwen3.8-27B.
The two models share 4 published benchmarks. DeepSeek-V4-Pro-0813 leads on 3 of them, Qwen3.8-27B on 1. The widest gaps are on Humanity's Last Exam, where DeepSeek-V4-Pro-0813 scores 60.0% against 30.8%; NL2Repo, where DeepSeek-V4-Pro-0813 scores 61.5% against 42.3%. Averaged across everything we track, DeepSeek-V4-Pro-0813 sits at 60.6% and Qwen3.8-27B at 66.3%.
DeepSeek-V4-Pro-0813 is available through an API at $1.32 per million input tokens with a 1M-token context window. We do not track a hosted API for Qwen3.8-27B, so pricing and context cannot be compared directly.
| Characteristic | DeepSeek-V4-Pro-0813 | Qwen3.8-27B |
|---|---|---|
| Company | DeepSeek | Alibaba |
| Release Date | August 13, 2026 | August 14, 2026 |
| Parameters | 1.6T | 28B |
| Multimodal | No | Yes |
| Context (input) | 1.0M | — |
| Context (output) | 393K | — |
| Input Price / 1M | $1.32 | — |
| Output Price / 1M | $3.96 | — |
| Average Score | 60.6% | 66.3% |
| Benchmarks | ||
| Humanity's Last Exam | 60.0% | 30.8% |
| NL2Repo | 61.5% | 42.3% |
| Agents' Last Exam | 25.7% | 42.9% |
| Terminal-Bench 2.1 | 88.0% | 73.0% |
Visual Benchmark Comparison
Verdict
Both models show equal results — the choice depends on your specific use case.
Both models show comparable average scores: DeepSeek-V4-Pro-0813 — 0.6, Qwen3.8-27B — 0.7.
Both models were released around the same time: 8/13/2026 and 8/14/2026.
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Frequently Asked Questions
Which is better for coding — DeepSeek-V4-Pro-0813 or Qwen3.8-27B?
Which model is cheaper — DeepSeek-V4-Pro-0813 or Qwen3.8-27B?
Which has a larger context window — DeepSeek-V4-Pro-0813 or Qwen3.8-27B?
The DeepSeek-V4-Pro-0813 and Qwen3.8-27B 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 Qwen3.8-27B page. See also the complete list of AI model comparisons.