Kimi K2.5

Categories: Chatbots & Assistants, Coding & Developer Tools, Data Analysis | Pricing: Pricing unavailable | Official Website ↗

Kimi K2.5 is a multi-modal AI model supporting text, image, and video input for dialogue and agent tasks with a 256k context length.

Kimi K2.5 is a multi-modal AI model offered through the Kimi API Platform. It is designed to handle various input types including text, images, and videos. The model supports both thinking and non-thinking modes, making it suitable for a range of applications from simple dialogues to complex agent tasks. Key features of Kimi K2.5 include a 256k context length, enabling long thinking and deep reasoning capabilities. It also provides automatic context caching, ToolCalls, JSON Mode, Partial Mode, and internet search functionality. The platform charges for both input and output tokens, with file-related interfaces for content extraction and storage being temporarily free.

Key Features

Text, image, and video input support
256k context length
Long thinking and deep reasoning
Automatic context caching
ToolCalls
JSON Mode
Partial Mode
Internet search functionality

Pros

Supports multiple input modalities (text, image, video)
Offers a large 256k context length for complex tasks
Includes advanced features like ToolCalls and JSON Mode
Facilitates deep reasoning and agent capabilities
Provides automatic context caching

Cons

Pricing is usage-based per token, which can be variable
Specific pricing details for K2.5 are not directly listed on the provided pages
Requires API integration for use
No explicit free trial mentioned
Token calculation can vary for English characters

Use Cases

Developing advanced chatbots
Building AI-powered assistants
Creating intelligent agents for automation
Processing and understanding multi-modal data
Integrating long-context reasoning into applications

Best For

Developers building AI applications
Businesses requiring multi-modal AI capabilities
Researchers needing long-context reasoning models
Teams implementing AI agents

Platforms: Web

Watch demo on YouTube ↗

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