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Models/Language/Kimi K2.6 (Non-reasoning)
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Kimi

Kimi K2.6 (Non-reasoning)

Released Apr 2026

View Rankings
Hugging Face
Hugging Face
kimi.com
Intelligence
#89
Coding
#112
Context256K
Parameters1T (32B active)

Kimi K2.6 (Non-reasoning) is the high-speed, low-latency configuration of Moonshot AI's flagship model, frequently referred to as Instant Mode. It is a large-scale Mixture-of-Experts (MoE) model designed to provide near-frontier performance for real-time applications and high-throughput agentic workflows. By bypassing the extended chain-of-thought (Thinking) process, this version delivers direct responses while maintaining the architectural strengths of the K2.6 series.

The model features a sparse architecture with 1 trillion total parameters, utilizing 32 billion active parameters per token. It is built with 384 experts, 8 of which are routed per token alongside a shared expert, and incorporates Multi-Head Latent Attention (MLA) for efficient memory usage. As a natively multimodal model, it integrates the MoonViT vision encoder, enabling it to process text, images, and video natively without requiring separate modules.

Optimized for long-horizon coding and autonomous orchestration, the model supports the Agent Swarm system. This capability allows it to coordinate up to 300 parallel sub-agents to decompose complex goals into specialized subtasks, such as generating full-stack dashboards or performing deep document analysis. It shows significant gains in software engineering tasks, specifically in languages like Rust, Go, and Python, and supports "coding-driven design" for generating production-ready UI layouts.

For optimal performance in its non-reasoning configuration, Moonshot AI recommends a temperature of 0.6 and a top-p of 0.95. The model is released with open weights under a Modified MIT License, permitting self-hosting on inference engines such as vLLM and SGLang. Users accessing the model via the official API can trigger this mode by disabling the thinking parameter in the request body.

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