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Kimi K2 0905

Kimi K2 0905 is Moonshot AI's September 2025 K2 checkpoint, a refined release focused on agentic coding workflows with a context window of 262.1K tokens, available through AI Gateway via baseten, fireworks, groq, moonshotai.

index.ts
import { streamText } from 'ai'


const result = streamText({
  model: 'moonshotai/kimi-k2-0905',
  prompt: 'Why is the sky blue?'
})
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Frequently Asked Questions

  • What was the focus of the 0905 checkpoint update?

    Agentic coding. The checkpoint refines multi-step development tasks, tool use in coding workflows, and sustained context across long coding sessions.

  • Why does the context window of 262.1K tokens matter for agentic coding specifically?

    Coding agents accumulate context rapidly: file contents, function signatures, test outputs, error logs, and multi-turn reasoning traces all consume tokens. A window of 262.1K tokens keeps a much larger project scope in context at once, which cuts truncation workarounds.

  • How does switching from base K2 to kimi-k2-0905 work?

    Update the model string in your API call to moonshotai/kimi-k2-0905. Authentication, tool-calling format, and the rest of the integration stay the same.

  • What providers serve this checkpoint through AI Gateway?

    AI Gateway routes Kimi K2 0905 across baseten, fireworks, groq, moonshotai. Failover between them is automatic.

  • Is the 0905 checkpoint open-weight?

    Yes, in the same lineage as other open-weight K2-family models. Check Moonshot AI's Hugging Face repository for license terms specific to this checkpoint.

  • Does kimi-k2-0905 support tool calling?

    Yes. Tool calling through the standard function-calling interface matches the agentic coding focus of the 0905 training refinements.

  • What if the context of 262.1K tokens is more than my tasks need?

    If context length isn't a constraint, the base Kimi K2 routes across a wider provider set and may give more availability headroom for high-uptime production use.