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-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,...
Suitable for scenarios with high audio quality requirements, emphasizing high fidelity and studio-grade clarity, applicable to audiobooks, film and TV dubbing, advertising narration, digital humans, etc.
Suitable for scenarios with high audio quality requirements, emphasizing high fidelity and studio-grade clarity, applicable to audiobooks, film and TV dubbing, advertising narration, digital humans, etc.
Suitable for scenarios with high audio quality requirements, emphasizing high fidelity and studio-grade clarity, applicable to audiobooks, film and TV dubbing, advertising narration, digital humans, etc.
Suitable for scenarios with high audio quality requirements, emphasizing high fidelity and studio-grade clarity, applicable to audiobooks, film and TV dubbing, advertising narration, digital humans, etc.
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COST EXPLORER
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Cost analysis
Adjust monthly token usage to compare estimated API costs.
1 M = 1 million tokens · USD Compares base text-token rates within the same channel
Uses collected, comparable USD-per-million-token rates. Snapshots exclude cache discounts, tiers, extra reasoning output and taxes. Check current source prices.
MODEL HANDBOOK
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Selection guide & FAQ
How should API prices be compared?+
Separate input, output and cache rates, then estimate the same workload. Image, audio and video rates may use items, duration or resolution rather than tokens.
Do open weights mean free commercial use?+
Not necessarily. Check each version’s license, commercial restrictions and policies. Self-hosting also incurs compute and maintenance costs.
Is the top-ranked model the best for me?+
Rankings depend on tasks, versions and methods. Compare accuracy, latency, reliability and costs on your own workload.