other
1000B parameters
Commercial OK
Kimi K2.6
Moonshot's long-context, agent-oriented MoE. Optimized for stability under tool use and multi-step coding/planning workflows.
License: Kimi Open Weights License·Released Mar 10, 2026·Context: 2,000,000 tokens
Overview
Moonshot's long-context, agent-oriented MoE. Optimized for stability under tool use and multi-step coding/planning workflows.
Strengths
- Agent-tuned
- Stable tool use
- Long context
Weaknesses
- Datacenter-class
Quantization variants
Each quantization trades model quality for file size and VRAM. Q4_K_M is the most popular starting point.
| Quantization | File size | VRAM required |
|---|---|---|
| Q4_K_M | 600.0 GB | 700 GB |
Get the model
HuggingFace
Original weights
huggingface.co/moonshotai/Kimi-K2.6
Source repository — direct quantization required.
Hardware that runs this
Cards with enough VRAM for at least one quantization of Kimi K2.6.
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Step down
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Frequently asked
What's the minimum VRAM to run Kimi K2.6?
700GB of VRAM is enough to run Kimi K2.6 at the Q4_K_M quantization (file size 600.0 GB). Higher-quality quantizations need more.
Can I use Kimi K2.6 commercially?
Yes — Kimi K2.6 ships under the Kimi Open Weights License, which permits commercial use. Always read the license text before deployment.
What's the context length of Kimi K2.6?
Kimi K2.6 supports a context window of 2,000,000 tokens (about 2000K).
Source: huggingface.co/moonshotai/Kimi-K2.6
Reviewed by RunLocalAI Editorial. See our editorial policy for how we research and verify model claims.