Mistral Small 3.2 24B vs o1-pro
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 o1-pro.
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...
o1-pro
The o1 series of models are trained with reinforcement learning to think before they answer and perform complex reasoning. The o1-pro model uses more compute to think harder and provide...
Technical Specifications
| Specification | Mistral Small 3.2 24B | o1-pro |
|---|---|---|
| Provider | Mistral | OpenAI |
| Context Window | 128,000 tokens | 200,000 tokens |
| Agent Suitability | N/A | N/A |
| Time to First Token (TTFT) | N/A | N/A |
| Deployment Model | self hostable | managed api |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2025-06-20 | 2025-03-19 |
API Pricing Comparison
Input Price per Million Tokens
Mistral Small 3.2 24B
$0.07
o1-pro
$150.00
Output Price per Million Tokens
Mistral Small 3.2 24B
$0.20
o1-pro
$600.00
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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.
o1-pro Quirks & Gotchas
No developer gotchas reported.