MiniMax M2.7 vs Mistral Large
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 M2.7 and Mistral Large.
MiniMax M2.7
MiniMax-M2.7 is a next-generation large language model designed for autonomous, real-world productivity and continuous improvement. Built to actively participate in its own evolution, M2.7 integrates advanced agentic capabilities through multi-agent...
Mistral Large
This is Mistral AI's flagship model, Mistral Large 2 (version `mistral-large-2407`). It's a proprietary weights-available model and excels at reasoning, code, JSON, chat, and more. Read the launch announcement [here](https://mistral.ai/news/mistral-large-2407/)....
Technical Specifications
| Specification | MiniMax M2.7 | Mistral Large |
|---|---|---|
| Provider | MiniMax | Mistral |
| Context Window | 204,800 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 | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2026-03-18 | 2024-02-26 |
API Pricing Comparison
Input Price per Million Tokens
MiniMax M2.7
$0.18
Mistral Large
$2.00
Output Price per Million Tokens
MiniMax M2.7
$0.72
Mistral Large
$6.00
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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.
MiniMax M2.7 Quirks & Gotchas
No developer gotchas reported.
Mistral Large Quirks & Gotchas
No developer gotchas reported.