MiniMax: MiniMax M1 Rank
MiniMax M1 has an overall score of 64 out of 100, tied for rank 161 of 291. The published scores are price 61, context 70, and freshness 60. The overall score is their average. parameters and recency 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 161 of 291
Component scores
| Score | Result | Published value | Source |
|---|---|---|---|
| Freshness | 60 | AI Knowledge Cutoff | |
| Recency | — | — | AI Release Date |
| Context | 70 | 1M tokens, output 40K | AI Context Window |
| Parameters | — | — | AI Parameter Count |
| Price | 61 | $0.963 / 1M blended, $0.55 / 1M input, $2.2 / 1M output | AI Token Price |
160 listed models have a higher overall score. Among MiniMax models, it ranks 6 of 8.
MiniMax-M1 is a large-scale, open-weight reasoning model designed for extended context and high-efficiency inference. It leverages a hybrid Mixture-of-Experts (MoE) architecture paired with a custom "lightning attention" mechanism, allowing it...
Higher overall scores
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Frequently asked questions
What is the MiniMax M1 rank?
MiniMax M1 has an overall score of 64 out of 100, tied for rank 161 of 291. The published scores are price 61, context 70, and freshness 60. The overall score is their average. parameters and recency are not published and are left out of the average.
Where does MiniMax M1 rank?
MiniMax M1 is tied for rank 161 of 291. 160 listed models have a higher overall score. Among MiniMax models, it ranks 6 of 8.
What scores make up MiniMax M1?
MiniMax M1 scores price 61 (AI Token Price), context 70 (AI Context Window), and freshness 60 (AI Knowledge Cutoff). The overall score of 64 is the average of those 3.