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Kimi K2.5 is a native multimodal model developed by Moonshot AI, featuring coding with vision capabilities and agent swarm execution.
Kimi K2.5 Assistant
256K context • vision + text reasoning • agent swarm
Community Voices
What People Are Saying About Kimi K2.5
Watch these in-depth reviews and tutorials from the AI community showcasing Kimi K2.5's capabilities.
Why is Everyone OBSESSED With The New Kimi K2.5 AI Model
This video explores the Kimi K2.5 model's capabilities including Agent Swarm features, video-to-code functionality, and creative stress tests.
BetterStack
Kimi K2.5 might be my new favorite model...
An in-depth review of Kimi K2.5's capabilities including coding, vision understanding, and agent swarm execution.
T3
Kimi K2.5 and Agent Swarm Explained
A deep dive into Kimi K2.5's Agent Swarm technology, explaining how it coordinates multiple sub-agents for parallel task execution.
AI Explained
Kimi K2.5 - The Agent Swarm in Action
Watch the Agent Swarm feature in action as it orchestrates 100 sub-agents to complete complex multi-step tasks in parallel.
AI News
Kimi K2.5 just dropped... (WOAH)
Matthew Berman covers the Kimi K2.5 release, highlighting its native multimodal capabilities, Agent Swarm, and why open-source AI is back.
Matthew Berman
New #1 open-source AI model is WILD
Hands-on testing of Kimi K2.5 with real-world demos including Figma clone, video-to-website, maze solving, hand tracking, and deep research tasks.
AI Search
Key Capabilities
Coding with Vision
Agent Swarm
Office Productivity
Explore what Kimi K2.5 can do
Visual Understanding
K2.5 can generate code from visual inputs like UI designs and video workflows, and autonomously orchestrate tools for visual data processing.
- Turn conversations into complete front-end interfaces
- Implement interactive layouts and scroll-triggered effects
- Generate code from UI designs and video workflows
- Autonomously orchestrate tools for visual data processing
Mixture of Experts
Based on publicly available information, Kimi K2.5 employs an MoE architecture with 384 experts, dynamically routing each token to the most relevant 8 experts for efficient processing.
According to the technical documentation, Kimi K2.5 uses a sparse Mixture of Experts architecture with 384 experts where 8 experts are activated per token. The model also features a 400M parameter MoonViT vision encoder for multimodal capabilities.
Performance Highlights
Based on publicly available benchmark data from kimi.com and official sources.
HLE-Full w/ tools
Humanity's Last Exam with tool use
AIME 2025
Competition-level mathematics
GPQA-Diamond
Graduate-level reasoning
MMLU-Pro
Professional knowledge evaluation
MMMU-Pro
Multimodal understanding
MathVision
Mathematical visual reasoning
Notable Results
Frequently Asked Questions
Everything you need to know about Kimi K2.5.