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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.
Quick Info
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- 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
Transparent token rates
Compare Kimi K2.6 (NovitaAI) pricing
Rates are shown per one million tokens. Combined means one million input plus one million output tokens.
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