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,...
Specs
minimax/minimax-01How to use MiniMax-01 in your app
The quickest way is through an API gateway such as OpenRouter, which uses the same format as the OpenAI API. Create a key, then send a request with the model ID minimax/minimax-01:
Prefer no code? Many tools in our AI tools directory run on models like this one.
More models from MiniMax
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,...
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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-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-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...
Questions about MiniMax-01
What is 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 parameters activated per inference, and can handle a context...
How big is the context window of MiniMax-01?
MiniMax-01 can read up to 1,000,192 tokens in one request, roughly 750,144 words.
How much does MiniMax-01 cost?
Through OpenRouter, MiniMax-01 costs about $0.20 / 1M tokens for input and $1.10 / 1M tokens for output. Prices change, so check before large jobs.
Is MiniMax-01 open source?
MiniMax-01 has open weights, so you can download and run it yourself, subject to its licence.
What can MiniMax-01 take as input?
MiniMax-01 accepts text, image and produces text.
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Specs and prices come from OpenRouter and the provider, and are refreshed daily. Last checked 15 Jan 2025.