GPT-4.1 vs Mistral Small 3.2 24B
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 GPT-4.1 and Mistral Small 3.2 24B.
GPT-4.1
GPT-4.1 is a flagship large language model optimized for advanced instruction following, real-world software engineering, and long-context reasoning. It supports a 1 million token context window and outperforms GPT-4o and...
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...
Technical Specifications
| Specification | GPT-4.1 | Mistral Small 3.2 24B |
|---|---|---|
| Provider | OpenAI | Mistral |
| Context Window | 1,047,576 tokens | 128,000 tokens |
| Agent Suitability | 91/100 | N/A |
| Time to First Token (TTFT) | 250 ms | N/A |
| Deployment Model | managed api | self hostable |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2025-04-14 | 2025-06-20 |
API Pricing Comparison
Input Price per Million Tokens
GPT-4.1
$2.00
Mistral Small 3.2 24B
$0.07
Output Price per Million Tokens
GPT-4.1
$8.00
Mistral Small 3.2 24B
$0.20
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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.
GPT-4.1 Quirks & Gotchas
- ▸Strong tool-calling reliability — good migration path from GPT-4o
- ▸Migrate to GPT-5 for larger context window and improved reasoning
Mistral Small 3.2 24B Quirks & Gotchas
No developer gotchas reported.