MiniMax M1
MiniMax
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...
What is 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 (MoE) architecture paired with a custom "lightning attention" mechanism, allowing it...
Specifications
- Developer: MiniMax
- Context window: 1M tokens
- Max output: 40K tokens
- Input modalities: text
- Output modalities: text
- Input price: $0.4000 per 1M tokens
- Output price: $2.20 per 1M tokens
- Knowledge cutoff: 2024-06-30
- Supported parameters: frequency_penalty, include_reasoning, max_tokens, presence_penalty, reasoning, repetition_penalty, seed, stop, temperature, tool_choice, tools, top_k, top_p
Use MiniMax M1 with PromptLayer
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