MiniMax: 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...
Pricing
Source-reported prices are shown in their native units. No missing fee is estimated.
Input
$0.550
USD / 1M input tokens
Output
$2.20
USD / 1M output tokens
Capabilities
A check means the source explicitly lists support; a dash means the source did not publish a value.
Text input Supported
Text output Supported
Vision Not listed
Tools Supported
Reasoning Supported
Structured outputs Not listed
Audio Not listed
Image generation Not listed
Embeddings Not listed
Alternatives
Suggestions use deterministic rules: overlapping modalities, a context window within 2×, and shared source-reported signals. No AI-generated recommendations.
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Cheaper alternatives
Strictly lower or equal input and output pricing, with no lower shared benchmark value and similar context.
Higher-performance alternatives
Higher on at least one shared benchmark and never lower on the other shared benchmarks, with similar context.
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