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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,...
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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...
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MiniMax-H3（Hailuo-03）多模态参考生视频，2K 直出。支持文本 + 参考图/参考视频/参考音频组合驱动，5-15 秒时长。 按输入视频秒数及输出视频秒数计费，当前标记是每秒价格
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MiniMax H3 Max API（APIMart）：支持最高 1080P 的文生视频与图生视频，可使用多模态参考输入，并生成同步音频。单次生成 5–15 秒视频，适用于广告、社媒和产品演示；可选 480P、768P 或 1080P。输入图片前两张免费，更多图片与参考视频另计。开通会员，API 调用立省20%起。
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MiniMax Hailuo 02 API（APIMart）：同时支持文生视频与图生视频两种模式，运动表现连贯一致，生成视频的视觉质量出色。开通会员，API 调用立省20%起。
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MiniMax视频模型 Hailuo 2.3，在 Hailuo 02 模型的基础上进一步升级动态表现力，画面更加真实、稳定。Hailuo 2.3 模型在肢体动作呈现、风格化以及人物微表情方面实现了显著的效果提升，同时对运动指令响应做进一步优化。
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Hailuo 2.3 Fast 模型，生成速度更快，定价更低，最高可为批量创作降低50%成本。
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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...
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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-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...
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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...
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MiniMax-M2.7 is a next-generation large language model designed for autonomous, real-world productivity and continuous improvement. Built to actively participate in its own evolution, M2.7 integrates advanced agentic capabilities through multi-agent...
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Uses collected, comparable USD-per-million-token rates. Snapshots exclude cache discounts, tiers, extra reasoning output and taxes. Check current source prices.
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.
Not necessarily. Check each version’s license, commercial restrictions and policies. Self-hosting also incurs compute and maintenance costs.
Rankings depend on tasks, versions and methods. Compare accuracy, latency, reliability and costs on your own workload.
