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TText generation▧Image generation▷Video generation⌘Code generation◖Speech synthesis♫Music generation⬡3D modeling▤Document analysis
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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...

Input Text→ Output Text
$0.3 / M input tokensOpenRouter · minimax/minimax-m2-her
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MiniMax M3

MiniMax

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,...

Text generationOpen weights
Input Text · Image · Video→ Output Text
$0.3 / M input tokensOpenRouter · minimax/minimax-m3
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来自Minimax的最新语音,官方格式

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Category pending
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来自Minimax的最新语音,官方格式

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Category pending
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来自Minimax的最新语音,官方格式

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Category pending
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Price not verifiedCheck multimodal and channel pricing separately
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来自Minimax的最新语音,官方格式

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Category pending
Input Not verified→ Output Not verified
Price not verifiedCheck multimodal and channel pricing separately
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来自Minimax的最新语音,官方格式

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Category pending
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Price not verifiedCheck multimodal and channel pricing separately
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基础档案已收录,详细介绍后续补充。可先查看厂商、分类与来源。

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基础档案已收录,详细介绍后续补充。可先查看厂商、分类与来源。

Category pending
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S2V-01

MiniMax

基础档案已收录,详细介绍后续补充。可先查看厂商、分类与来源。

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来自海螺最新语音,OpenAI tts 格式

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来自海螺最新语音,OpenAI tts 格式

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Category pending
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来自海螺最新语音,OpenAI tts 格式

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Category pending
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来自海螺最新语音,OpenAI tts 格式

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Category pending
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Price not verifiedCheck multimodal and channel pricing separately
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来自海螺最新语音,OpenAI tts 格式

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Category pending
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来自海螺最新语音,OpenAI tts 格式

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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.

Input Text→ Output Text · Audio
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T2V-01

MiniMax

基础档案已收录,详细介绍后续补充。可先查看厂商、分类与来源。

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基础档案已收录,详细介绍后续补充。可先查看厂商、分类与来源。

Category pending
Input Not verified→ Output Not verified
Price not verifiedCheck multimodal and channel pricing separately
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Cost analysis

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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.

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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.

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Rankings depend on tasks, versions and methods. Compare accuracy, latency, reliability and costs on your own workload.

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