This model accepts text, pictures, and video inputs, and can process up to 1000 pages of information to generate responses up to 520 pages long. It excels at complex tasks like coding, cybersecurity, and advanced problem-solving. Its ability to handle video input and its high ranking in reasoning set it apart from other models. However, it cannot search the web or structure data into specific formats.
MiniMax M2-her
by MiniMaxReleased 23 January 2026
MiniMax M2-her is a chat model for roleplay and character-driven conversation. You send the persona, the dialogue so far and optional sample exchanges that show the tone you want, and it replies in character, with named speakers for group scenes. It reads about 65 pages and writes up to 2 pages per reply, with no tools or thinking mode.
Reads about 65 pages · writes up to 2 pages
Parameters you can send
Standard OpenAI fields, grouped by what they control. Anything not listed is accepted and ignored.
Shaping the reply
How long, how varied, where to stop.
max_tokenstemperaturetop_pQuestions about MiniMax M2-her
Is MiniMax M2-her still on sale?
No. MiniMax has retired it. Other MiniMax models are on sale.
What is MiniMax M2-her best for?
MiniMax M2-her is a chat model for roleplay and character-driven conversation. You send the persona, the dialogue so far and optional sample exchanges that show the tone you want, and it replies in character, with named speakers for group scenes. It reads about 65 pages and writes up to 2 pages per reply, with no tools or thinking mode.
Does MiniMax M2-her work in Arabic, French or Darja?
MiniMax names no languages for MiniMax M2-her. Arabic, French and Darja: not stated.
Can it read PDFs, images or a whole book?
It reads text. Up to 66K tokens in one request, about 65 pages. It writes up to 2 000 words at once.
Is MiniMax M2-her open source?
No. MiniMax has not published its weights.
Who makes MiniMax M2-her, and when was it released?
MiniMax. Released 23 January 2026.
Other MiniMax models, priced in dinars
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MiniMax Speech 2.8 HD turns text into speech and returns audio, using any MiniMax voice you name. It is the quality tier: it voices laughs and sighs written into the text as tags, and it supports emotion settings like happy, sad or calm. Use it for narration, audiobooks and finished voice-overs.
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