 MiniMax M2-her | ||
|---|---|---|
Model Provider The organization behind this AI's development | MiniMax | |
Input Context Window Maximum input tokens this model can process at once | 65.5K tokens | 262.1K tokens |
Output Token Limit Maximum output tokens this model can generate at once | 2K tokens | 131.1K tokens |
Release Date When this model first became publicly available | January 23, 2026 4 months ago January 23rd, 2026 | February 26, 2026 3 months ago February 26th, 2026 |
MiniMax M2-her | Seed-2.0-Mini | |
|---|---|---|
Input Types Supported input formats | 📝Text | 📝Text🖼️Image🎬Video |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | Other | Other |
Key Features Advanced capabilities | Function CallingStructured OutputReasoning ModeContent Moderation | ✓Function Calling✓Structured Output✓Reasoning ModeContent Moderation |
| MiniMax M2-her | ||
|---|---|---|
Input Token Cost Cost per million input tokens | $0.30 per million tokens | $0.10 per million tokens |
Output Token Cost Cost per million outut tokens | $1.20 per million tokens | $0.40 per million tokens |
| MiniMax M2-her | ||
|---|---|---|
MMLU Measures knowledge across 57 subjects like law, math, history, and science | Benchmark not available. | Benchmark not available. |
MMMU Measures understanding of combined text and images across various domains | Benchmark not available. | Benchmark not available. |
HellaSwag Measures common sense reasoning by having models complete sentences about everyday situations | Benchmark not available. | Benchmark not available. |
MiniMax M2-her by MiniMax is a text-based AI model. It can handle standard conversations with its 65.5K token context window. Very affordable at $0.30/M input and $1.20/M output tokens. Released January 23rd, 2026.Compare your models with top performers across different categories
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