 MiniMax M2.7 | ||
|---|---|---|
Model Provider The organization behind this AI's development | MiniMax | |
Input Context Window Maximum input tokens this model can process at once | 1M tokens | 196.6K tokens |
Output Token Limit Maximum output tokens this model can generate at once | 65.5K tokens | Not specified tokens |
Release Date When this model first became publicly available | April 27, 2026 4 days ago April 27th, 2026 | March 18, 2026 1 month ago March 18th, 2026 |
Google Gemini Pro Latest | MiniMax M2.7 | |
|---|---|---|
Input Types Supported input formats | 🎵Audio📁File🖼️Image📝Text🎬Video | 📝Text |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | Router | Other |
Key Features Advanced capabilities | ✓Function Calling✓Structured Output✓Reasoning ModeContent Moderation | ✓Function Calling✓Structured Output✓Reasoning ModeContent Moderation |
Open Source Model availability | Proprietary | Available on HuggingFace → |
| MiniMax M2.7 | ||
|---|---|---|
Input Token Cost Cost per million input tokens | $2.00 per million tokens | $0.30 per million tokens |
Output Token Cost Cost per million outut tokens | $12.00 per million tokens | $1.20 per million tokens |
| MiniMax M2.7 | ||
|---|---|---|
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 M2.7 by MiniMax can use external tools and APIs, offers advanced reasoning, generates structured data. It can handle standard conversations with its 196.6K token context window. Very affordable at $0.30/M input and $1.20/M output tokens. Released March 18th, 2026.Compare your models with top performers across different categories
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