DeepSeek-V3.2 (Thinking) vs Qwen3.5-397B-A17B: Specs & Benchmark Comparison
| Characteristic | DeepSeek-V3.2 (Thinking) | Qwen3.5-397B-A17B |
|---|---|---|
| Company | DeepSeek | Alibaba |
| Release Date | November 30, 2025 | February 15, 2026 |
| Parameters | 685B | 397B |
| Multimodal | No | Yes |
| Context (input) | 131K | — |
| Context (output) | 66K | — |
| Input Price / 1M | $0.28 | — |
| Output Price / 1M | $0.42 | — |
| Average Score | 0.9 | 0.9 |
| Benchmarks | ||
| HMMT 2025 | 0.9 | 0.9 |
Visual Benchmark Comparison
DeepSeek-V3.2 (Thinking)
Qwen3.5-397B-A17B
HMMT 20250.9 vs 0.9
0.9
0.9
Verdict
Qwen3.5-397B-A17B leads in 1 out of 2 comparison categories.
Overall Performance
Both models show comparable average scores: DeepSeek-V3.2 (Thinking) — 0.9, Qwen3.5-397B-A17B — 0.9.
Recency
Qwen3.5-397B-A17B is newer: released 2/15/2026 vs 11/30/2025.
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The DeepSeek-V3.2 (Thinking) and Qwen3.5-397B-A17B comparison is updated for 2026. Data includes benchmark results, API pricing, context window size and other specifications. For more detailed information, visit the DeepSeek-V3.2 (Thinking) or Qwen3.5-397B-A17B page. See also the complete list of AI model comparisons.