Kimi K2 Tech Blog

Kimi K2.7 Code is now available. This guide explains what Kimi K2.7 means for Kimi Code, 256K context coding, thinking mode, multimodal input, agent workflows, pricing, and developer adoption.

Kimi Code is now powered by Kimi K2.7 Code. This developer guide covers the kimi-k2.7-code model ID, Claude Code environment variables, Cline and RooCode settings, API usage, cost control, and prompt templates.

If Kimi gave you a public website link, it is already deployed for sharing. This guide explains when to use the Kimi link, when to export the code, and how to move the site to your own domain or hosting provider.

Moonshot AI has officially shipped Kimi K2.6, graduating the Code Preview branch into a general-availability model built for 12-hour autonomous coding sessions, 300-agent swarms, and full-stack generation. Here is what changed, what it means, and how to put it to work.

The interesting question about Kimi K2.6 is not what it does — it is what kind of model it is clearly being built to host. Treat the 12-hour runs, 300-agent swarms, and context compressor as load-bearing infrastructure, and the shape of K3 becomes visible.

On April 13, 2026, Moonshot AI officially confirmed that Kimi K2.6 Code Preview has entered beta testing. Built on a trillion-parameter MoE architecture, this next-generation model delivers significant improvements in code generation and agent capabilities.

OpenClaw announces free access to Moonshot AI's newly released Kimi k2.5 model for all users, making this combination the most noteworthy tech trend of early 2026.

Kimi k2.5 adopts a native multimodal architecture, meaning it not only understands images but also grasps the flow of time and interaction logic in videos. This article dives deep into its core 'Visual Coding' feature.

Moonshot AI announces the official release of Kimi K2.5. As the strongest open-source model to date, it brings Coding with Vision capabilities, a revolutionary Agent Swarm mode, and expert-level productivity for high-density office tasks.

Moonshot AI silently updates Kimi K2.5, bringing native vision capabilities, stronger reasoning, and agentic abilities, seen by the industry as a milestone upgrade rivaling Gemini 3 Pro.

Explore how Kimi K2 LLM optimizes Nano Banana Pro image generation prompts, including the three-step method, real-world cases, and template library construction to help creators enhance AI image quality.

In-depth comparison of Kimi K2 Thinking and MiniMax M2 open-source reasoning models, covering architecture design, performance benchmarks, cost analysis, and practical application scenarios to provide comprehensive reference for technical selection.

As the first generation Thinking Agent with native support for simultaneous thinking and tool usage, Kimi K2 Thinking achieves perfect fusion of deep thinking and tool orchestration, reaching SOTA levels in multiple benchmarks and marking a major breakthrough for open source AI reasoning models.

Compare DeepSeek V3.1 Terminus with the V3.1 and V3.1-Base checkpoints to understand architecture, training, benchmarks, and deployment choices.

Compare DeepSeek V3.1 Terminus and Kimi K2-0905 across release cadence, architecture, benchmarks, pricing, and deployment trade-offs so you can place the right model in each agent workflow.

DeepSeek V3.1 Terminus sharpens cross-language alignment, boosts agent pass rates, and ships open-source checkpoints for builders worldwide.

Latest Kimi K2-0905 with enhanced coding powers, seamless Claude Code compatibility, 256K context & K2-0711 personality. The future of AI development.

MoonshotAI announces Kimi K2 Turbo Preview, achieving 4x speed improvement while maintaining the same parameter scale. Special 50% discount available until September 1st.

Comprehensive guide to Kimi K2 pricing structure, cost calculation methods, and optimization strategies for maximizing development ROI.

Discover how Claude Code's intelligent routing perfectly complements Kimi K2's trillion-parameter MoE architecture to create the most advanced AI coding assistant for modern developers.

A comprehensive introduction to the Kimi-K2 development ecosystem, including mainstream framework integration, recommended development tools, API best practices, and community resource navigation.

Comprehensive analysis of Kimi-K2's performance across various benchmark tests, with in-depth comparisons to mainstream open-source models, providing data-driven insights for technical decision-making.

Deep dive into Kimi-K2's unique advantages in agent development, showcasing practical applications of core capabilities including tool calling and multi-turn dialogue through real-world case studies.

Comprehensive guide to Kimi K2 deployment requirements, environment configuration, inference engine selection, and production-grade deployment solutions to help you quickly get started with this powerful AI model.

An in-depth analysis of Kimi K2's MoE architecture design, exploring the technical significance of 32B activated parameters and 1T total parameters, and the innovative application of Muon optimizer in large model training.

Deep dive into the battle between Kimi K2-0905 and Qwen 3 Coder AI models. Compare performance, costs, and real-world coding capabilities to find your perfect AI assistant.