Mistral Small 3.2 24B vs Qwen3 235B A22B Instruct 2507
How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for Mistral Small 3.2 24B and Qwen3 235B A22B Instruct 2507.
Mistral Small 3.2 24B
Mistral-Small-3.2-24B-Instruct-2506 is an updated 24B parameter model from Mistral optimized for instruction following, repetition reduction, and improved function calling. Compared to the 3.1 release, version 3.2 significantly improves accuracy on...
Qwen3 235B A22B Instruct 2507
Qwen3-235B-A22B-Instruct-2507 is a multilingual, instruction-tuned mixture-of-experts language model based on the Qwen3-235B architecture, with 22B active parameters per forward pass. It is optimized for general-purpose text generation, including instruction following,...
Technical Specifications
| Specification | Mistral Small 3.2 24B | Qwen3 235B A22B Instruct 2507 |
|---|---|---|
| Provider | Mistral | Alibaba |
| Context Window | 128,000 tokens | 262,144 tokens |
| Agent Suitability | N/A | N/A |
| Time to First Token (TTFT) | N/A | N/A |
| Deployment Model | self hostable | self hostable |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2025-06-20 | 2025-07-21 |
API Pricing Comparison
Input Price per Million Tokens
Mistral Small 3.2 24B
$0.07
Qwen3 235B A22B Instruct 2507
$0.09
Output Price per Million Tokens
Mistral Small 3.2 24B
$0.20
Qwen3 235B A22B Instruct 2507
$0.10
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Benchmark Performance Metrics
Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.
Mistral Small 3.2 24B Quirks & Gotchas
No developer gotchas reported.
Qwen3 235B A22B Instruct 2507 Quirks & Gotchas
No developer gotchas reported.