Pixtral Large vs Qwen3 235B A22B: Specs & Benchmark Comparison
| Characteristic | Pixtral Large | Qwen3 235B A22B |
|---|---|---|
| Company | Mistral AI | Alibaba |
| Release Date | November 18, 2024 | April 28, 2025 |
| Parameters | 124B | 235B |
| Multimodal | Yes | No |
| Context (input) | 128K | 128K |
| Context (output) | 128K | 128K |
| Input Price / 1M | $2.00 | $0.20 |
| Output Price / 1M | $6.00 | $0.60 |
| Average Score | 0.8 | 0.9 |
Verdict
Qwen3 235B A22B leads in 2 out of 4 comparison categories.
Overall Performance
Both models show comparable average scores: Pixtral Large — 0.8, Qwen3 235B A22B — 0.9.
API Cost
Qwen3 235B A22B is 10.0x cheaper: input $0.20/1M vs $2.00/1M tokens.
Context Window
Same context size: 128K tokens.
Recency
Qwen3 235B A22B is newer: released 4/28/2025 vs 11/18/2024.
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Frequently Asked Questions
Which is better for coding — Pixtral Large or Qwen3 235B A22B?
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 235B A22B?
Qwen3 235B A22B is cheaper for input: $0.20 per 1M tokens vs $2.00.
Which has a larger context window — Pixtral Large or Qwen3 235B A22B?
Pixtral Large supports a larger context: 128,000 tokens vs 128,000.
The Pixtral Large and Qwen3 235B A22B 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 235B A22B page. See also the complete list of AI model comparisons.