Kimi K2.5 API
Released January 2026 | 256K Tokens context | 1T params (32B active) parameters
Kimi K2.5 API enables Native multimodal agent workflows, Visual code generation (UI/video to code), Agent Swarm for complex parallel tasks, Advanced web development with vision, Multimodal research and analysis, and Image/video-to-code translation. Kimi K2.5 is Moonshot AI's most powerful open-source model to date — a native multimodal agentic model built through continual pretraining on 15 trillion mixed visual and text tokens atop Kimi-K2-Base. With 1T total parameters (32B active), it seamlessly integrates vision, language, and advanced agentic capabilities including an Agent Swarm paradigm that coordinates up to 100 parallel sub-agents, reducing execution time by 4.5x on parallelizable tasks. Standout strengths include Native multimodal — trained jointly on 15T vision+text tokens and Agent Swarm coordinates up to 100 parallel sub-agents. It is well suited for multimodal assistants that combine image understanding with grounded text reasoning in real-time workflows.
from openai import OpenAI # Initialize the OpenAI client with Qubrid base URL client = OpenAI( base_url="https://platform.qubrid.com/v1", api_key="QUBRID_API_KEY", ) stream = client.chat.completions.create( model="moonshotai/Kimi-K2.5", messages=[ { "role": "user", "content": [ { "type": "text", "text": "What is in this image? Describe the main elements." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ], max_tokens=16384, temperature=1, top_p=0.95, stream=True ) for chunk in stream: if chunk.choices and chunk.choices[0].delta.content: print(chunk.choices[0].delta.content, end="", flush=True) print("\n")from openai import OpenAI # Initialize the OpenAI client with Qubrid base URL client = OpenAI( base_url="https://platform.qubrid.com/v1", api_key="QUBRID_API_KEY", ) stream = client.chat.completions.create( model="moonshotai/Kimi-K2.5", messages=[ { "role": "user", "content": [ { "type": "text", "text": "What is in this image? Describe the main elements." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ], max_tokens=16384, temperature=1, top_p=0.95, stream=True ) for chunk in stream: if chunk.choices and chunk.choices[0].delta.content: print(chunk.choices[0].delta.content, end="", flush=True) print("\n") Enterprise
Platform Integration
Docker Support
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Official SDKs for Python, Javascript, Go, and Java
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