MiniMax: MiniMax-01 Rank
MiniMax-01 has an overall score of 66 out of 100, tied for rank 140 of 291. The published scores are price 72, context 70, parameters 66, and freshness 56. The overall score is their average. recency is not published and is 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 140 of 291
Component scores
| Score | Result | Published value | Source |
|---|---|---|---|
| Freshness | 56 | AI Knowledge Cutoff | |
| Recency | — | — | AI Release Date |
| Context | 70 | 1M tokens, output 900K | AI Context Window |
| Parameters | 66 | 456B total | AI Parameter Count |
| Price | 72 | $0.425 / 1M blended, $0.2 / 1M input, $1.1 / 1M output | AI Token Price |
139 listed models have a higher overall score. Among MiniMax models, it ranks 5 of 8.
MiniMax-01 is a combines MiniMax-Text-01 for text generation and MiniMax-VL-01 for image understanding. It has 456 billion parameters, with 45.9 billion parameters activated per inference, and can handle a context...
Higher overall scores
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Frequently asked questions
What is the MiniMax-01 rank?
MiniMax-01 has an overall score of 66 out of 100, tied for rank 140 of 291. The published scores are price 72, context 70, parameters 66, and freshness 56. The overall score is their average. recency is not published and is left out of the average.
Where does MiniMax-01 rank?
MiniMax-01 is tied for rank 140 of 291. 139 listed models have a higher overall score. Among MiniMax models, it ranks 5 of 8.
What scores make up MiniMax-01?
MiniMax-01 scores price 72 (AI Token Price), context 70 (AI Context Window), parameters 66 (AI Parameter Count), and freshness 56 (AI Knowledge Cutoff). The overall score of 66 is the average of those 4.