MoonshotAI: Kimi K2.6

Kimi K2.6 is a text-and-image model from MoonshotAI with a 262,144-token context window and matching output ceiling, meaning it can handle very long documents or extended conversations without truncation. It supports tool use and reasoning, which makes it viable for agentic workflows and multi-step problem solving. Structured output support is unconfirmed from available data. At $0.66 per million input tokens and $3.41 per million output tokens, the model sits in a mid-range price tier. Its blended benchmark score of 77.4 across four benchmarks shows particular strength in coding (92.4) while agentic performance is notably lower at 49.9, so that tradeoff is worth weighing for teams planning autonomous agent pipelines. Benchmark coverage is limited to four tests, so buyers requiring broader validation should treat these scores as a partial picture rather than a comprehensive signal.