MiniMax-M3.1-Flash is a multimodal model from MiniMax. Compared with M3, it delivers significant improvements across multiple benchmarks, particularly in complex agentic tasks, coding, and cybersecurity. It is built for complex,...
Model catalog
Models
Every model in the catalog with source-linked pricing, context limits, provider availability, and published benchmark results.
MiniMax-M3.1-Flash is a multimodal model from MiniMax. Compared with M3, it delivers significant improvements across multiple benchmarks, particularly in complex agentic tasks, coding, and cybersecurity. It is built for complex,...
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...
MiniMax-M3 is a multimodal foundation model from MiniMax. It supports text, image, and video inputs with text output, a 1M-token context window, and is suited for long-horizon agentic work, coding,...
MiniMax-M3 is a multimodal foundation model from MiniMax. It supports text, image, and video inputs with text output, a 1M-token context window, and is suited for long-horizon agentic work, coding,...
MiniMax-M3 is a multimodal foundation model from MiniMax. It supports text, image, and video inputs with text output, a 1M-token context window, and is suited for long-horizon agentic work, coding,...
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...
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...
MiniMax-M2.1 is a lightweight, state-of-the-art large language model optimized for coding, agentic workflows, and modern application development. With only 10 billion activated parameters, it delivers a major jump in real-world...
MiniMax-M2 is a compact, high-efficiency large language model optimized for end-to-end coding and agentic workflows. With 10 billion activated parameters (230 billion total), it delivers near-frontier intelligence across general reasoning,...
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...
| Model | Creator | Score | Inputs | Context | Input | Output | Released | Compare |
|---|---|---|---|---|---|---|---|---|
| MiniMax: MiniMax M3.1 Flashminimax/minimax-m3.1-flash | MiniMax |
42.7 | 1.04858M | $0.15 | $0.6 | — | ||
| MiniMax: MiniMax M3.1 Flash (free)minimax/minimax-m3.1-flash:free | MiniMax |
42.7 | 1M | Free | Free | — | ||
| MiniMax: MiniMax M2.7 (free)minimax/minimax-m2.7:free | MiniMax |
38.9 | 196.608K | Free | Free | — | ||
| MiniMax: MiniMax M3 (free)minimax/minimax-m3:free | MiniMax |
35.7 | 1.04858M | Free | Free | — | ||
| MiniMax: MiniMax M3minimax/minimax-m3 | MiniMax |
29.2 | 524.288K | $0.3 | $1.2 | — | ||
| MiniMax: MiniMax M3 (batch)minimax/minimax-m3:batch | MiniMax |
29.2 | 524.288K | $0.3 | $1.2 | — | ||
| MiniMax: MiniMax M2.5minimax/minimax-m2.5 | MiniMax |
22.8 | 204.8K | $0.3 | $1.2 | — | ||
| MiniMax: MiniMax M2.7minimax/minimax-m2.7 | MiniMax |
22.8 | 204.8K | $0.3 | $1.2 | — | ||
| MiniMax: MiniMax M2.1minimax/minimax-m2.1 | MiniMax |
20.9 | 204.8K | $0.3 | $1.2 | — | ||
| MiniMax: MiniMax M2minimax/minimax-m2 | MiniMax |
18.6 | 204.8K | $0.255 | $1.02 | — | ||
| MiniMax: MiniMax M1minimax/minimax-m1 | MiniMax |
11.7 | 1M | $0.55 | $2.2 | — |