MiniMax M2 variant tuned for conversational and character-driven agent interactions
3 providers
Model catalog
Models
Every model in the catalog with source-linked pricing, context limits, provider availability, and published benchmark results.
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-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...
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 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-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-her is a dialogue-first large language model built for immersive roleplay, character-driven chat, and expressive multi-turn conversations. Designed to stay consistent in tone and personality, it supports rich message...
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-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...
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-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-M2.7 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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| Model | Creator | Inputs | Context | Input | Output | Released | Compare |
|---|---|---|---|---|---|---|---|
| MiniMax-M2 Herminimax/MiniMax-M2-Her | MiniMax |
65.536K | $0.3 | $1.2 | 2026-01-23 | ||
| MiniMax: MiniMax M3 (batch)minimax/minimax-m3:batch | MiniMax |
524.288K | $0.3 | $1.2 | — | ||
| MiniMax: MiniMax M1minimax/minimax-m1 | MiniMax |
1M | $0.55 | $2.2 | — | ||
| MiniMax: MiniMax M2.7 (free)minimax/minimax-m2.7:free | MiniMax |
196.608K | Free | Free | — | ||
| MiniMax: MiniMax M2minimax/minimax-m2 | MiniMax |
204.8K | $0.255 | $1.02 | — | ||
| MiniMax: MiniMax M3 (free)minimax/minimax-m3:free | MiniMax |
1.04858M | Free | Free | — | ||
| MiniMax: MiniMax M2-herminimax/minimax-m2-her | MiniMax |
65.536K | $0.3 | $1.2 | — | ||
| MiniMax: MiniMax M2.1minimax/minimax-m2.1 | MiniMax |
204.8K | $0.3 | $1.2 | — | ||
| MiniMax: MiniMax-01minimax/minimax-01 | MiniMax |
1.00019M | $0.2 | $1.1 | — | ||
| MiniMax: MiniMax M2.5minimax/minimax-m2.5 | MiniMax |
200K | $0.27 | $1.08 | — | ||
| MiniMax: MiniMax M3minimax/minimax-m3 | MiniMax |
524.288K | $0.3 | $1.2 | — | ||
| MiniMax: MiniMax M2.7minimax/minimax-m2.7 | MiniMax |
204.8K | $0.3 | $1.2 | — | ||
| MiniMax-M2.1-lightningminimax/minimax-m2.1-lightning | Minimax |
1M | $0.3 | $2.4 | — | ||
| MiniMax-M2.5-lightningminimax/minimax-m2.5-lightning | Minimax |
1M | $0.3 | $2.4 | — |