MiniMax M2-her
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 roles (user_system, group, sample_message_user, sample_message_ai) and can learn from example dialogue to better match the style and pacing of your scenario, making it a strong choice for storytelling, companions, and conversational experiences where natural flow and vivid interaction matter most.
minimax/minimax-m2-her
- Contexto
- 66k tokens
- Máx. completion
- 2,048
- Tools
- No
- JSON
- No
- Lanzamiento
- 2026-01-23
Llámalo desde Geek Hub
El mismo SDK de OpenAI. Cambia el base URL y el id del modelo.
curl https://api.geekhub.mx/v1/chat/completions \
-H "Authorization: Bearer $GEEKHUB_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "minimax/minimax-m2-her",
"messages": [{"role": "user", "content": "Hola"}]
}'Consigue tu API keyPreguntas frecuentes
- ¿Qué es MiniMax M2-her?
- 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 roles (user_system, group, sample_message_user, sample_message_ai) and can learn from example dialogue to better match the style and pacing of your scenario, making it a strong choice for storytelling, companions, and conversational experiences where natural flow and vivid interaction matter most. MiniMax M2-her corre en el API de Geek Hub (compatible con OpenAI). Id: minimax/minimax-m2-her.
- ¿MiniMax M2-her es gratis?
- No. El input cuesta $0.327 / 1M tokens y el output $1.3081 / 1M tokens en Geek Hub (markup incluido).
- ¿Cuál es el contexto de MiniMax M2-her?
- MiniMax M2-her tiene una ventana de 66k tokens. Soporta hasta 2,048 tokens de completion.
- ¿MiniMax M2-her soporta tool calling y structured outputs?
- MiniMax M2-her no publica tool calling en este endpoint. No lista structured outputs en este endpoint.
- ¿Cuándo se lanzó MiniMax M2-her?
- MiniMax M2-her se lanzó el 23 de enero de 2026.
Más modelos de MiniMax
- MiniMax M1MiniMax-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 pa
- MiniMax M2MiniMax-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 de
- MiniMax M2.1MiniMax-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 par
- MiniMax M2.5MiniMax-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 th
- MiniMax M2.7MiniMax-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 evoluti
- MiniMax M3MiniMax-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 agen