MiniMax: MiniMax M2-her
Review
MiniMax M2-her has no published benchmark data and a relatively small context window, limiting confidence in its capabilities for business use despite its low price point.
Assessment date: April 4, 2026
Our methodology takes into account a range of factors including pricing, functionality, capabilities, benchmark performance, and real-world applicability. Rankings are reviewed and updated regularly as new models are released. Issues with our rankings? Contact us
Performance Profile
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..
Architecture
| Modality | Text → Text |
| Tokenizer | Other |
How does MiniMax: MiniMax M2-her stack up?
Compare side-by-side with other emerging models.
Model Information
| OpenRouter ID |
minimax/minimax-m2-her
|
| Provider | minimax |
| Release Date | January 23, 2026 |
| Context Length | 65,536 tokens |
| Max Completion | 2,048 tokens |
| Status | Active |
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.30 | $0.000300 |
| Output | $1.20 | $0.001200 |
Live Performance
Live endpoint metrics — refreshed every 30 minutes.
External Resources
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Data sourced from OpenRouter API, Artificial Analysis and Hugging Face Open LLM Leaderboard. Scores are editorially curated by our team.
Last updated: April 15, 2026 8:53 pm