Mistral Small 3.1 24B vs Qwen3 235B A22B Thinking 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 3.1 24B and Qwen3 235B A22B Thinking 2507.
Mistral Small 3.1 24B
Mistral Small 3.1 24B Instruct is an upgraded variant of Mistral Small 3 (2501), featuring 24 billion parameters with advanced multimodal capabilities. It provides state-of-the-art performance in text-based reasoning and...
Qwen3 235B A22B Thinking 2507
Qwen3-235B-A22B-Thinking-2507 is a high-performance, open-weight Mixture-of-Experts (MoE) language model optimized for complex reasoning tasks. It activates 22B of its 235B parameters per forward pass and natively supports up to 262,144...
Technical Specifications
| Specification | Mistral Small 3.1 24B | Qwen3 235B A22B Thinking 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 | 2025-03-17 | 2025-07-25 |
API Pricing Comparison
Input Price per Million Tokens
Mistral Small 3.1 24B
$0.35
Qwen3 235B A22B Thinking 2507
$0.15
Output Price per Million Tokens
Mistral Small 3.1 24B
$0.56
Qwen3 235B A22B Thinking 2507
$1.50
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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 3.1 24B Quirks & Gotchas
No developer gotchas reported.
Qwen3 235B A22B Thinking 2507 Quirks & Gotchas
No developer gotchas reported.