DeepSeek-V4-Flash-0731 vs Qwen3.6-27B: Specs & Benchmark Comparison
DeepSeek-V4-Flash-0731 is developed by DeepSeek, while Qwen3.6-27B comes from Alibaba. Qwen3.6-27B was released in April 2026, and DeepSeek-V4-Flash-0731 followed 3 months later in July 2026. DeepSeek-V4-Flash-0731 is the larger model at roughly 304 billion parameters, against 28 billion for Qwen3.6-27B.
We have 9 benchmark results for DeepSeek-V4-Flash-0731 and 44 benchmark results for Qwen3.6-27B, but they overlap on a single test: NL2Repo, where DeepSeek-V4-Flash-0731 scores 54.2% against 36.2%.
DeepSeek-V4-Flash-0731 is the cheaper API at $0.14 per million input tokens and $0.28 per million output tokens, roughly 4 times cheaper than Qwen3.6-27B at $0.60 and $3.60. DeepSeek-V4-Flash-0731 takes the larger context window at 1M tokens, compared with 262K for Qwen3.6-27B. DeepSeek-V4-Flash-0731 accepts text as input, while Qwen3.6-27B accepts text and images.
| Characteristic | DeepSeek-V4-Flash-0731 | Qwen3.6-27B |
|---|---|---|
| Company | DeepSeek | Alibaba |
| Release Date | July 31, 2026 | April 21, 2026 |
| Parameters | 304B | 28B |
| Multimodal | No | Yes |
| Context (input) | 1.0M | 262K |
| Context (output) | 393K | 66K |
| Input Price / 1M | $0.14 | $0.60 |
| Output Price / 1M | $0.28 | $3.60 |
| Average Score | 57.5% | 77.5% |
| Benchmarks | ||
| NL2Repo | 54.2% | 36.2% |
Visual Benchmark Comparison
Verdict
DeepSeek-V4-Flash-0731 leads in 3 out of 4 comparison categories.
Both models show comparable average scores: DeepSeek-V4-Flash-0731 — 0.6, Qwen3.6-27B — 0.8.
DeepSeek-V4-Flash-0731 is 10.0x cheaper: input $0.14/1M vs $0.60/1M tokens.
DeepSeek-V4-Flash-0731 supports a larger context: 1M vs 262K tokens.
DeepSeek-V4-Flash-0731 is newer: released 7/31/2026 vs 4/21/2026.
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Frequently Asked Questions
Which is better for coding — DeepSeek-V4-Flash-0731 or Qwen3.6-27B?
Which model is cheaper — DeepSeek-V4-Flash-0731 or Qwen3.6-27B?
Which has a larger context window — DeepSeek-V4-Flash-0731 or Qwen3.6-27B?
The DeepSeek-V4-Flash-0731 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-Flash-0731 or Qwen3.6-27B page. See also the complete list of AI model comparisons.