Reasoning · Moonshot AI
Run Kimi K2.6 in the EU through an OpenAI-compatible API
Kimi K2.6 is Moonshot AI's open-weight agentic model from April 2026: one trillion parameters with 32 billion active, native image understanding and a 256K-token context. On inference.eu you call it with the OpenAI or Anthropic request format, while your prompts and code are processed in EU data centres and never used for training.
- 011T · 32B
- 02EU data centres
- 03Modified MIT License
What Kimi K2.6 is
Kimi K2.6 is a mixture-of-experts model from Moonshot AI in Beijing, released with open weights on 20 April 2026. It has one trillion parameters in total, 32 billion active per token, 61 layers and a context window of 256K tokens. A 400-million-parameter vision encoder called MoonViT gives it native image input.
Moonshot describes it as built for long-horizon coding, turning prompts and screenshots into working interfaces, autonomous execution and swarm-style orchestration, where one run splits work across many sub-agents. It has a thinking mode and an instant mode without reasoning. The licence is a modified MIT licence with an attribution clause for very large products.
What it does well, and where it falls short
K2.6 is strong at end-to-end coding across languages such as Rust, Go and Python, at front-end work from a sketch or screenshot, and at long agent runs that call many tools. The instant mode makes it usable for faster chat-style tasks too, so one model can cover both quick answers and deep agent work.
With one trillion parameters it is a heavy model; for simple tasks a smaller one is more economical. Its context of 256K is shorter than the one-million-token windows of Kimi K3, GLM-5.3 or DeepSeek V4. Moonshot's newer Kimi K3 is more capable overall. As with other Chinese models, its training reflects its maker's choices on sensitive topics.
Calling Kimi K2.6 through the API
inference.eu offers the OpenAI and the Anthropic request formats. Set the base URL to the inference.eu API, use your inference.eu key and set the model to kimi-k2.6. Coding agents such as Claude Code, Cline or OpenHands work by changing those same settings.
Thinking mode is the default. To use instant mode, pass thinking: false in the chat template options through extra_body. Moonshot recommends temperature 1.0 for thinking mode and 0.6 for instant mode, with top_p 0.95. Send images as image_url content parts. Tool calls and streaming work as usual, and the reasoning comes back separately from the answer.
Data residency for Kimi K2.6
Kimi K2.6 comes from China, but on inference.eu its open weights run on infrastructure in the European Union. Your prompts, images, code and the model's responses are processed in EU data centres, are not sent to Moonshot AI, and are never used to train any model.
Every customer receives a data processing agreement under Article 28 of the GDPR and our subprocessor list. Billing is in euros. The modified MIT licence allows commercial use; its only addition is that products with more than 100 million monthly active users or more than 20 million US dollars in monthly revenue must display "Kimi K2.6" prominently in their interface.
import os
from openai import OpenAI
client = OpenAI(base_url="https://api.inference.eu/v1", api_key=os.environ["INFERENCE_EU_API_KEY"])
response = client.chat.completions.create(
model="kimi-k2.6",
messages=[{"role": "user", "content": "Summarise this contract in five bullet points."}],
)
print(response.choices[0].message.content)What teams use it for
- 1
Front-end from screenshots
Turn a design screenshot or a rough sketch into working HTML, CSS and components, then refine them in an agent loop.
- 2
Long autonomous coding runs
Let an agent carry a multi-file change through planning, implementation and testing with many tool calls.
- 3
Parallel research agents
Split a research or analysis task across several sub-agents and merge their findings into one report.
Kimi K2.6: common questions
The questions buyers, developers and legal teams ask us most. Something missing? Ask us directly.
Related
- Kimi K3Run Kimi K3, Moonshot AI's 2.8-trillion-parameter open-weight model with 1M context and image and video input, on inference.eu with processing in the EU.Reasoning
- GLM-5.3Run Z.ai's GLM-5.3, an open-weight model built for complex coding and long agent tasks, on inference.eu with OpenAI and Anthropic APIs, processed in the EU.Reasoning
- MiniMax M3Run MiniMax M3 on inference.eu: an open multimodal model with 1M context for coding and agent work, OpenAI-compatible and processed in EU data centres.Reasoning
- Qwen3.8 27BRun Qwen3.8 27B on inference.eu: a dense open model with image and video input, adjustable reasoning and 256K context, OpenAI-compatible, processed in the EU.Reasoning
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