Kimi K2.7 Code
MultimodalKimi K2.7 Code is Moonshot AI's coding-focused agentic model built on Kimi K2.6. It improves real-world long-horizon coding task completion, instruction following, and token efficiency while reducing thinking-token usage by approximately 30% versus Kimi K2.6. The model uses a native multimodal Mixture-of-Experts architecture with 1T total parameters, 32B activated parameters, a 256K-token context window, image and video input support, and forced thinking with preserve_thinking enabled for multi-turn coding agent workflows. It is served by deepinfra, fireworks, moonshot, novita, together with a 256K-token context window at $0.68 / $3.4 per 1M input/output tokens.
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