DeepSeek-V3.1 vs Qwen3-235B-A22B-Thinking-2507: Specs & Benchmark Comparison
| Characteristic | DeepSeek-V3.1 | Qwen3-235B-A22B-Thinking-2507 |
|---|---|---|
| Company | DeepSeek | Alibaba |
| Release Date | January 9, 2025 | July 24, 2025 |
| Parameters | 671B | 235B |
| Multimodal | No | No |
| Context (input) | 164K | 256K |
| Context (output) | 164K | 131K |
| Input Price / 1M | $0.27 | $0.30 |
| Output Price / 1M | $1.00 | $3.00 |
| Average Score | 0.8 | 0.9 |
| Benchmarks | ||
| MMLU-Redux | 0.9 | 0.9 |
Visual Benchmark Comparison
DeepSeek-V3.1
Qwen3-235B-A22B-Thinking-2507
MMLU-Redux0.9 vs 0.9
0.9
0.9
Verdict
Qwen3-235B-A22B-Thinking-2507 leads in 2 out of 4 comparison categories.
Overall Performance
Both models show comparable average scores: DeepSeek-V3.1 — 0.8, Qwen3-235B-A22B-Thinking-2507 — 0.9.
API Cost
DeepSeek-V3.1 is 2.6x cheaper: input $0.27/1M vs $0.30/1M tokens.
Context Window
Qwen3-235B-A22B-Thinking-2507 supports a larger context: 256K vs 164K tokens.
Recency
Qwen3-235B-A22B-Thinking-2507 is newer: released 7/24/2025 vs 1/9/2025.
More About These Models
Related Comparisons
Frequently Asked Questions
Which is better for coding — DeepSeek-V3.1 or Qwen3-235B-A22B-Thinking-2507?
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 Qwen3-235B-A22B-Thinking-2507?
DeepSeek-V3.1 is cheaper for input: $0.27 per 1M tokens vs $0.30.
Which has a larger context window — DeepSeek-V3.1 or Qwen3-235B-A22B-Thinking-2507?
Qwen3-235B-A22B-Thinking-2507 supports a larger context: 256,000 tokens vs 163,840.
The DeepSeek-V3.1 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-V3.1 or Qwen3-235B-A22B-Thinking-2507 page. See also the complete list of AI model comparisons.