MiniMax: MiniMax M2.5 Rank
MiniMax M2.5 has an overall score of 70 out of 100, tied for rank 98 of 291. The published scores are price 71, context 50, and recency 88. 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 98 of 291
Component scores
| Score | Result | Published value | Source |
|---|---|---|---|
| Freshness | — | — | AI Knowledge Cutoff |
| Recency | 88 | AI Release Date | |
| Context | 50 | 205K tokens, output 32.8K | AI Context Window |
| Parameters | — | — | AI Parameter Count |
| Price | 71 | $0.44 / 1M blended, $0.27 / 1M input, $0.95 / 1M output | AI Token Price |
97 listed models have a higher overall score. Among MiniMax models, it ranks 3 of 8.
MiniMax-M2.5 is a SOTA large language model designed for real-world productivity. Trained in a diverse range of complex real-world digital working environments, M2.5 builds upon the coding expertise of M2.1...
Higher overall scores
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Frequently asked questions
What is the MiniMax M2.5 rank?
MiniMax M2.5 has an overall score of 70 out of 100, tied for rank 98 of 291. The published scores are price 71, context 50, and recency 88. The overall score is their average. parameters and freshness are not published and are left out of the average.
Where does MiniMax M2.5 rank?
MiniMax M2.5 is tied for rank 98 of 291. 97 listed models have a higher overall score. Among MiniMax models, it ranks 3 of 8.
What scores make up MiniMax M2.5?
MiniMax M2.5 scores price 71 (AI Token Price), context 50 (AI Context Window), and recency 88 (AI Release Date). The overall score of 70 is the average of those 3.