MiniMax: MiniMax-01
minimax's efficiency model. Long-context specialist with 1.0M window.
Scores by test
Methodology →What you need to know
MiniMax-01 is primarily a tool for high-fidelity data extraction and transformation. Its strongest differentiator is a perfect 5/5 faithfulness score, meaning it adheres strictly to provided source material without introducing hallucinations. This reliability is paired with strong performance in structured output and constrained rewriting, making it effective for converting raw text into specific formats.
The model supports a massive 1.0M token context window and is priced aggressively for the mid-tier, with a blended cost of $0.875/MTok. While the input cost is low, the output cost is significantly higher, which is a critical consideration for tasks requiring long-form generation. However, the low cost does not compensate for poor safety calibration and weak creative problem solving.
Performance is inconsistent across general tasks, as evidenced by an overall rank of 127 out of 130 models and a low average internal score of 3.08. It struggles significantly with persona consistency and tabular data, indicating it is not suitable for conversational agents or complex data analysis.
Use this model if you need a low-cost solution for high-accuracy extraction, multilingual rewriting, or processing very large documents where faithfulness is the priority. Skip this model if your application requires strict safety guardrails, creative reasoning, or stable persona maintenance.
Strengths — Top 3
Relative weaknesses — Bottom 3
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