MiniMax-01 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-01 and Mistral Small 3.2 24B.
MiniMax-01
MiniMax-01 is a combines MiniMax-Text-01 for text generation and MiniMax-VL-01 for image understanding. It has 456 billion parameters, with 45.9 billion parameters activated per inference, and can handle a context...
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-01 | Mistral Small 3.2 24B |
|---|---|---|
| Provider | MiniMax | Mistral |
| Context Window | 1,000,192 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 | 2025-01-15 | 2025-06-20 |
API Pricing Comparison
Input Price per Million Tokens
MiniMax-01
$0.20
Mistral Small 3.2 24B
$0.07
Output Price per Million Tokens
MiniMax-01
$1.10
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-01 Quirks & Gotchas
No developer gotchas reported.
Mistral Small 3.2 24B Quirks & Gotchas
No developer gotchas reported.