MiniMax: MiniMax M2.7 Rank
MiniMax M2.7 has an overall score of 69 out of 100, tied for rank 106 of 291. The published scores are price 69, context 50, and recency 89. The overall score is their average. parameters and freshness are not published and are left out of the average.
Data sourced from OpenRouter API and manual data collection | Last updated: Nov 3, 2026, 8:01 AM UTC
Component scores are ranked in
tied for rank 106 of 291
Component scores
| Score | Result | Published value | Source |
|---|---|---|---|
| Freshness | — | — | AI Knowledge Cutoff |
| Recency | 89 | AI Release Date | |
| Context | 50 | 205K tokens, output 131K | AI Context Window |
| Parameters | — | — | AI Parameter Count |
| Price | 69 | $0.525 / 1M blended, $0.3 / 1M input, $1.2 / 1M output | AI Token Price |
105 listed models have a higher overall score. Among MiniMax models, it ranks 4 of 8.
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...
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Frequently asked questions
What is the MiniMax M2.7 rank?
MiniMax M2.7 has an overall score of 69 out of 100, tied for rank 106 of 291. The published scores are price 69, context 50, and recency 89. The overall score is their average. parameters and freshness are not published and are left out of the average.
Where does MiniMax M2.7 rank?
MiniMax M2.7 is tied for rank 106 of 291. 105 listed models have a higher overall score. Among MiniMax models, it ranks 4 of 8.
What scores make up MiniMax M2.7?
MiniMax M2.7 scores price 69 (AI Token Price), context 50 (AI Context Window), and recency 89 (AI Release Date). The overall score of 69 is the average of those 3.