MiniMax M2.7 vs o1-pro
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 o1-pro.
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...
o1-pro
The o1 series of models are trained with reinforcement learning to think before they answer and perform complex reasoning. The o1-pro model uses more compute to think harder and provide...
Technical Specifications
| Specification | MiniMax M2.7 | o1-pro |
|---|---|---|
| Provider | MiniMax | OpenAI |
| Context Window | 204,800 tokens | 200,000 tokens |
| Agent Suitability | N/A | N/A |
| Time to First Token (TTFT) | N/A | N/A |
| Deployment Model | managed api | managed api |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2026-03-18 | 2025-03-19 |
API Pricing Comparison
Input Price per Million Tokens
MiniMax M2.7
$0.18
o1-pro
$150.00
Output Price per Million Tokens
MiniMax M2.7
$0.72
o1-pro
$600.00
Want to test both models live?
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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.
o1-pro Quirks & Gotchas
No developer gotchas reported.