Use MiniMax Models in Big-AGI.
Bring your own MiniMax key and use MiniMax at its own API rates, with no markup. Keys and chats stay in your browser. Run MiniMax in parallel with other models, then compare and merge the answers.
All supported MiniMax models
MiniMax M3
NEWMiniMax-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…
1M
$0.3
$1.2
May 2026
MiniMax M2.7
MiniMax-M2.7 is a next-generation large language model designed for autonomous, real-world productivity and continuous improvement. Built to actively participa…
205K
$0.18
$0.72
Mar 2026
MiniMax M2.5
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…
205K
$0.12
$0.48
Feb 2026
MiniMax M2-her
MiniMax M2-her is a dialogue-first large language model built for immersive roleplay, character-driven chat, and expressive multi-turn conversations. Designed…
66K
$0.3
$1.2
Jan 2026
MiniMax M2.1
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…
205K
$0.29
$0.95
Dec 2025
MiniMax M2
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…
205K
$0.26
$1
Oct 2025
MiniMax M1
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…
1M
$0.4
$2.2
Jun 2025
MiniMax-01
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 parame…
1M
$0.2
$1.1
Jan 2025
MiniMax M3
NEWMiniMax-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…
MiniMax M2.7
MiniMax-M2.7 is a next-generation large language model designed for autonomous, real-world productivity and continuous improvement. Built to actively participa…
MiniMax M2.5
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…
MiniMax M2-her
MiniMax M2-her is a dialogue-first large language model built for immersive roleplay, character-driven chat, and expressive multi-turn conversations. Designed…
MiniMax M2.1
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…
MiniMax M2
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…
MiniMax M1
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…
MiniMax-01
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 parame…
Running MiniMax in Big-AGI
Connect MiniMax's OpenAI-compatible API with your own key, or route the M-series through OpenRouter. Big-AGI adds no markup and keeps your keys and chats in your browser, not on its servers.
- Your key, your billing. Usage is billed by MiniMax or OpenRouter to your account. Big-AGI does not meter or charge for model usage.
- Frontier value. The M-series pairs million-token context with aggressive pricing, and much of the line ships open weights.
- Built for agents and code. From M2 on, the models are tuned for coding and multi-step tool use, holding their own against far pricier alternatives.
- Beam. Run MiniMax in parallel with Claude, GPT, and Gemini, then compare or merge the answers. Parallel runs use more tokens than a single chat.
Bring your MiniMax key. Keep control.
Your key, your data, your choice of model. Big-AGI is open source and self-hostable, so you can check exactly how MiniMax is called.
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