MiniMax M2 vs Mistral Small 3
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 M2 and Mistral Small 3.
MiniMax M2
MiniMax-M2 is a compact, high-efficiency large language model optimized for end-to-end coding and agentic workflows. With 10 billion activated parameters (230 billion total), it delivers near-frontier intelligence across general reasoning,...
Mistral Small 3
Mistral Small 3 is a 24B-parameter language model optimized for low-latency performance across common AI tasks. Released under the Apache 2.0 license, it features both pre-trained and instruction-tuned versions designed...
Technical Specifications
| Specification | MiniMax M2 | Mistral Small 3 |
|---|---|---|
| Provider | MiniMax | Mistral |
| Context Window | 204,800 tokens | 32,768 tokens |
| Agent Suitability | N/A | 84/100 |
| Time to First Token (TTFT) | N/A | 120 ms |
| Deployment Model | managed api | managed api |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2025-10-23 | 2025-01-30 |
API Pricing Comparison
Input Price per Million Tokens
MiniMax M2
$0.26
Mistral Small 3
$0.07
Output Price per Million Tokens
MiniMax M2
$1.02
Mistral Small 3
$0.20
Want to test both models live?
Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.
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 M2 Quirks & Gotchas
No developer gotchas reported.
Mistral Small 3 Quirks & Gotchas
- ▸Fastest TTFT at lowest cost — ideal for high-volume classification
- ▸Not designed for complex reasoning — route multi-step tasks to Mistral Large 3