Mistral Small 3.2 24B vs Qwen3.7 Max
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 Qwen3.7 Max.
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...
Qwen3.7 Max
Qwen3.7-Max is the flagship model in Alibaba's Qwen3.7 series. It supports text input and output and is designed for agent-centric workloads, with particular strengths in coding, office and productivity tasks,...
Technical Specifications
| Specification | Mistral Small 3.2 24B | Qwen3.7 Max |
|---|---|---|
| Provider | Mistral | Alibaba |
| Context Window | 128,000 tokens | 1,000,000 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 | beta |
| API Available | Yes | Yes |
| Released Date | 2025-06-20 | 2026-05-21 |
API Pricing Comparison
Input Price per Million Tokens
Mistral Small 3.2 24B
$0.07
Qwen3.7 Max
$1.25
Output Price per Million Tokens
Mistral Small 3.2 24B
$0.20
Qwen3.7 Max
$3.75
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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.
Qwen3.7 Max Quirks & Gotchas
No developer gotchas reported.