Kimi K2 (DeepMask)
The "Agent Swarm" pioneer with 1-Trillion parameters.
About the Model
Kimi K2 (and the 2.5 update) is Moonshot AI’s massive Mixture-of-Experts (MoE) breakthrough. It is the first model to natively support "Agent Swarm Mode," allowing the main model to coordinate up to 100 specialized sub-agents working in parallel. It is exceptionally efficient, activating only 32B of its 1T parameters per request.
Model Key Capabilities
Agent Swarm Mode:
Decomposes a complex task into 100 sub-tasks and runs them all at once.
Native Multimodal (MoonViT):
Processes text, image, and video with equal fluency from the start.
Long-Context Optimization:
Uses Multi-Head Latent Attention to handle 256K tokens on standard hardware.
Stable Execution:
Maintains coherence across 300 sequential tool calls without "drift."
Applications & Use Cases
Massive Research Synthesis:
Searching hundreds of web sources simultaneously to compile a report.
Vision-to-Code:
Uploading a UI walkthrough video and having Kimi rebuild the entire website.
Batch Data Processing:
Analyzing thousands of legal or medical records in a single swarm session.
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Kimi K2.5
A powerful open-source multimodal AI that turns text, images, and video into production-ready code while powering large-scale agent swarm workflows.
Model Specifications
General | |
|---|---|
Model Provider | MoonshotAI |
Main Use Cases |
|
Intelligence | |
Reasoning Effort | High |
GPQA Diamond | 87.6% |
Memory | |
Max Context | 2.0M Tokens |
Speed | |
Latency (TTFT) | 0.31s |
Throughput | 111 Tokens/sec |
Cost | |
1M Tokens (I/O) | $0.60 / $3.00 |
