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Model details

Kimi K2.6 (NovitaAI)

Kimi K2.6 is an open-source, native multimodal model from Moonshot AI designed for practical work in long-horizon coding, coding-driven design, proactive autonomous execution, and swarm-based task orchestration. It generalizes across programming languages such as Rust, Go, and Python, and across front-end, DevOps, and performance optimization domains, turning simple prompts and visual inputs into production-ready interfaces and lightweight full-stack workflows. The model is distributed under a Modified MIT license, making it available for the open-weight community alongside its presence on Hugging Face and ModelScope.

The defining shift from K2.5 to K2.6 is duration, breadth, and coordination rather than a single benchmark number. K2.6 is built to hold a coding task together for twelve hours and roughly four thousand coordinated steps, with up to three hundred sub-agents operating within a single swarm. Independent partners reported concrete gains: CodeBuddy cited improvements in code generation accuracy and long-context stability, Vercel reported a doubling on its internal Next.js benchmark, and Factory.ai measured improvements on both of its evaluated benchmarks. Published scores include Terminal-Bench 2.0 at 66.7%, SWE-Bench Pro at 58.6%, and MathVision with Python tool use at 93.2%, positioning K2.6 as a model whose strengths show up most clearly in extended, agentic engineering work rather than short isolated completions.

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Quick Info

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Provider
LLM Gateway
Model key
novita/kimi-k2.6
Release date
Apr 21, 2026
Last updated
Apr 21, 2026
Knowledge cutoff
2025-01
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$0.80
Output token cost
$3.40

Limits

Output tokens
262,144 tokens
Context window
262,144 tokens

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Rates are shown per one million tokens. Combined means one million input plus one million output tokens.

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