Mistral Large 2 vs Qwen3-235B-A22B-Thinking-2507: Specs & Benchmark Comparison
| Characteristic | Mistral Large 2 | Qwen3-235B-A22B-Thinking-2507 |
|---|---|---|
| Company | Mistral AI | Alibaba |
| Release Date | July 24, 2024 | July 24, 2025 |
| Parameters | 123B | 235B |
| Multimodal | No | No |
| Context (input) | 128K | 256K |
| Context (output) | 128K | 131K |
| Input Price / 1M | $2.00 | $0.30 |
| Output Price / 1M | $6.00 | $3.00 |
| Average Score | 0.9 | 0.9 |
Verdict
Qwen3-235B-A22B-Thinking-2507 leads in 3 out of 4 comparison categories.
Overall Performance
Both models show comparable average scores: Mistral Large 2 — 0.9, Qwen3-235B-A22B-Thinking-2507 — 0.9.
API Cost
Qwen3-235B-A22B-Thinking-2507 is 2.4x cheaper: input $0.30/1M vs $2.00/1M tokens.
Context Window
Qwen3-235B-A22B-Thinking-2507 supports a larger context: 256K vs 128K tokens.
Recency
Qwen3-235B-A22B-Thinking-2507 is newer: released 7/24/2025 vs 7/24/2024.
More About These Models
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The Mistral Large 2 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 Mistral Large 2 or Qwen3-235B-A22B-Thinking-2507 page. See also the complete list of AI model comparisons.