DeepSeek-V3.1 vs Qwen3 VL 32B Thinking: Specs & Benchmark Comparison
| Characteristic | DeepSeek-V3.1 | Qwen3 VL 32B Thinking |
|---|---|---|
| Company | DeepSeek | Alibaba |
| Release Date | January 9, 2025 | September 21, 2025 |
| Parameters | 671B | 33B |
| Multimodal | No | Yes |
| Context (input) | 164K | — |
| Context (output) | 164K | — |
| Input Price / 1M | $0.27 | — |
| Output Price / 1M | $1.00 | — |
| Average Score | 0.8 | 144.5 |
| Benchmarks | ||
| MMLU-Redux | 0.9 | 0.9 |
Visual Benchmark Comparison
DeepSeek-V3.1
Qwen3 VL 32B Thinking
MMLU-Redux0.9 vs 0.9
0.9
0.9
Verdict
Qwen3 VL 32B Thinking leads in 2 out of 2 comparison categories.
Overall Performance
Qwen3 VL 32B Thinking shows a higher average benchmark score: 144.5 vs 0.8.
Recency
Qwen3 VL 32B Thinking is newer: released 9/21/2025 vs 1/9/2025.
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Frequently Asked Questions
Which is better for coding — DeepSeek-V3.1 or Qwen3 VL 32B Thinking?
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 VL 32B Thinking?
API pricing data is available on the individual model pages.
Which has a larger context window — DeepSeek-V3.1 or Qwen3 VL 32B Thinking?
Context window data is available on the individual model pages.
The DeepSeek-V3.1 and Qwen3 VL 32B Thinking 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 VL 32B Thinking page. See also the complete list of AI model comparisons.