Pixtral Large vs Qwen3 VL 32B Thinking: Specs & Benchmark Comparison
| Characteristic | Pixtral Large | Qwen3 VL 32B Thinking |
|---|---|---|
| Company | Mistral AI | Alibaba |
| Release Date | November 18, 2024 | September 21, 2025 |
| Parameters | 124B | 33B |
| Multimodal | Yes | Yes |
| Context (input) | 128K | — |
| Context (output) | 128K | — |
| Input Price / 1M | $2.00 | — |
| Output Price / 1M | $6.00 | — |
| Average Score | 0.8 | 144.5 |
| Benchmarks | ||
| MM-MT-Bench | 0.7 | 8.3 |
Visual Benchmark Comparison
Pixtral Large
Qwen3 VL 32B Thinking
MM-MT-Bench0.7 vs 8.3
8.3
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 11/18/2024.
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Frequently Asked Questions
Which is better for coding — Pixtral Large 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 — Pixtral Large or Qwen3 VL 32B Thinking?
API pricing data is available on the individual model pages.
Which has a larger context window — Pixtral Large or Qwen3 VL 32B Thinking?
Context window data is available on the individual model pages.
The Pixtral Large 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 Pixtral Large or Qwen3 VL 32B Thinking page. See also the complete list of AI model comparisons.