Kimi Code’s model guide introduces six model IDs, with emphasis on K3.1 Pro and K3.1 Pro Highspeed. K3.1 Pro is presented as the service’s newest flagship: a 3-trillion-parameter model with a context window of up to one million tokens for eligible members, image and video input, and thinking mode as a requirement. Highspeed offers the same capabilities at roughly two to three times the output speed, but uses about twice the quota. The guide compares these models with K3, its 256K-context version, K2.8 Preview, and K2.7 Code Highspeed, outlining their speed, context limits, reasoning settings, input types, and plan requirements. It recommends K3.1 Pro for demanding coding and other complex work, while noting that lighter or faster alternatives may suit routine tasks.
The instructions explain how to select models in Kimi’s desktop, CLI, and VS Code clients, or configure third-party tools with an API key, supported protocol, and exact model ID. K3.1 Pro requires thinking to remain enabled; disabling it causes a request error. The guide also advises starting a fresh session when changing models or reasoning effort, since switches invalidate the context cache, increase token use, and may harm output quality. It details how reasoning settings are mapped, why access or context limits can trigger errors, and why Highspeed may not noticeably accelerate workflows dominated by tool calls. It also warns that some tools silently route mistyped model IDs to another model, and gives guidance for moving between K3’s 1M and 256K context variants.
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