DeepSeek-V3.2 (Thinking) vs Qwen3-235B-A22B-Thinking-2507: Specs & Benchmark Comparison
| Characteristic | DeepSeek-V3.2 (Thinking) | Qwen3-235B-A22B-Thinking-2507 |
|---|---|---|
| Company | DeepSeek | Alibaba |
| Release Date | November 30, 2025 | July 24, 2025 |
| Parameters | 685B | 235B |
| Multimodal | No | No |
| Context (input) | 131K | 256K |
| Context (output) | 66K | 131K |
| Input Price / 1M | $0.28 | $0.30 |
| Output Price / 1M | $0.42 | $3.00 |
| Average Score | 0.9 | 0.9 |
| Benchmarks | ||
| AIME 2025 | 0.9 | 0.9 |
Visual Benchmark Comparison
DeepSeek-V3.2 (Thinking)
Qwen3-235B-A22B-Thinking-2507
AIME 20250.9 vs 0.9
0.9
0.9
Verdict
DeepSeek-V3.2 (Thinking) leads in 2 out of 4 comparison categories.
Overall Performance
Both models show comparable average scores: DeepSeek-V3.2 (Thinking) — 0.9, Qwen3-235B-A22B-Thinking-2507 — 0.9.
API Cost
DeepSeek-V3.2 (Thinking) is 4.7x cheaper: input $0.28/1M vs $0.30/1M tokens.
Context Window
Qwen3-235B-A22B-Thinking-2507 supports a larger context: 256K vs 131K tokens.
Recency
DeepSeek-V3.2 (Thinking) is newer: released 11/30/2025 vs 7/24/2025.
More About These Models
Related Comparisons
The DeepSeek-V3.2 (Thinking) and Qwen3-235B-A22B-Thinking-2507 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 Qwen3-235B-A22B-Thinking-2507 page. See also the complete list of AI model comparisons.