Kimi K2.6
A solid pick for self-hosting and full data control.
Overview
Kimi K2.6 is Moonshot AI's flagship open-weight model: 1 trillion total parameters, 32B active per token (MoE, 384 experts), 256K context. Built for long-horizon agentic coding, orchestration of hundreds of sub-agents and full-stack generation. Multimodal (text, image, video), Modified MIT license, and very low pricing versus closed models. Stronger on agentic tasks than on pure reasoning.
Skill profile
Three independent measures
What people prefer, what the model can do, what the market uses. Each source has its biases and none is enough on its own: we show them side by side, never blended.
What do these scores mean?
PhD-level science questions (physics, chemistry, biology), with no tool access.
Strengths
- World-class on Arena
- Has a free tier
- Open-source and self-hostable
- Competitive input pricing
Limitations
- Average speed
- Light safety filters
Who is it for
- you build with a coding agent
- you want to control cost or self-host
- your data must stay in the EU
- you need very fast responses
- you want strict guardrails
Ideal use cases
- Long-horizon agentic coding and multi-agent orchestration
- Full-stack generation (UI + backend)
- Chinese and multilingual workloads
Access & availability
Key specifications
What it costs per month
Estimate from sourced API prices and a hardware tier for self-hosting. Assumptions are editable.
Assumptions: 36-month amortisation, 0.25 €/kWh, 22 days/month, 1 $ = 0.92 €. Excludes labour, software licences, redundancy.
nAIvigate Trust Index
What the vendor offers and documents for professional use in Europe. An undocumented criterion counts as zero and stays visible: the score rises when the vendor publishes, not when we assume.
19/19 criteria documented · 100 % · 12 of them set by rule
See the criteria▾
Trust Index badge
Show this score in your docs, README or security page. It updates automatically.
[](https://naivigate.com/en/model/kimi-k2-6)Data & compliance
What we know, line by line, with source and date. These lines feed the Data and Enterprise families of the Trust Index above. GDPR compliance depends on your processing, not on the model alone.
| EU data residency | Yes |
| Data processing agreement (DPA) | N/A· self-hosted: data never leaves |
| Transfer outside the EU | No |
| Training on your data | No |
| Configurable retention | N/A· self-hosted: data never leaves |
| Zero Data Retention | N/A· self-hosted: data never leaves |
| Self-hostable | Yes |
| Declared hosting | self |
Quality of this card’s data
This score measures the quality of the data on this card: price, context, Elo, licence, documented, sourced and fresh. It measures neither the model nor its compliance: for that, see the Trust Index above.
6/8 documented · 2/8 primary sources · 1 older than 90 days
Advanced data · for expertsArchitecture, modalities, detailed cost, full benchmarks▾
| Arena Elo | 1461 |
| MMLU | — |
| GPQA | 90.5% |
| HumanEval | — |
| SWE-Bench | — |
| MATH | — |