MiniMax M1 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 MiniMax M1 and Mistral Small 3.2 24B.
MiniMax M1
MiniMax-M1 is a large-scale, open-weight reasoning model designed for extended context and high-efficiency inference. It leverages a hybrid Mixture-of-Experts (MoE) architecture paired with a custom "lightning attention" mechanism, allowing it...
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 | MiniMax M1 | Mistral Small 3.2 24B |
|---|---|---|
| Provider | MiniMax | Mistral |
| Context Window | 1,000,000 tokens | 128,000 tokens |
| Agent Suitability | N/A | N/A |
| Time to First Token (TTFT) | N/A | N/A |
| Deployment Model | managed api | self hostable |
| Production Stability | beta | stable |
| API Available | Yes | Yes |
| Released Date | 2025-06-17 | 2025-06-20 |
API Pricing Comparison
Input Price per Million Tokens
MiniMax M1
$0.40
Mistral Small 3.2 24B
$0.07
Output Price per Million Tokens
MiniMax M1
$2.20
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.
MiniMax M1 Quirks & Gotchas
No developer gotchas reported.
Mistral Small 3.2 24B Quirks & Gotchas
No developer gotchas reported.