DeepSeek-V3.1 vs Qwen3.5 27B: Specs & Benchmark Comparison
| Characteristic | DeepSeek-V3.1 | Qwen3.5 27B |
|---|---|---|
| Company | DeepSeek | Alibaba |
| Release Date | January 9, 2025 | March 1, 2026 |
| Parameters | 671B | 27B |
| Multimodal | No | No |
| Context (input) | 164K | — |
| Context (output) | 164K | — |
| Input Price / 1M | $0.27 | — |
| Output Price / 1M | $1.00 | — |
| Average Score | 0.8 | 0.9 |
| Benchmarks | ||
| MMLU-Redux | 0.9 | 0.9 |
Visual Benchmark Comparison
DeepSeek-V3.1
Qwen3.5 27B
MMLU-Redux0.9 vs 0.9
0.9
0.9
Verdict
Qwen3.5 27B leads in 1 out of 2 comparison categories.
Overall Performance
Both models show comparable average scores: DeepSeek-V3.1 — 0.8, Qwen3.5 27B — 0.9.
Recency
Qwen3.5 27B is newer: released 3/1/2026 vs 1/9/2025.
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Frequently Asked Questions
Which is better for coding — DeepSeek-V3.1 or Qwen3.5 27B?
Direct comparison on the SWE-Bench benchmark is not available. We recommend reviewing other metrics on the comparison page.
Which model is cheaper — DeepSeek-V3.1 or Qwen3.5 27B?
API pricing data is available on the individual model pages.
Which has a larger context window — DeepSeek-V3.1 or Qwen3.5 27B?
Context window data is available on the individual model pages.
The DeepSeek-V3.1 and Qwen3.5 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-V3.1 or Qwen3.5 27B page. See also the complete list of AI model comparisons.