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Moonshot AI

Kimi K2.7 Code High Speed

Kimi K2.7 Code High Speed is the faster-serving variant of Moonshot AI's Kimi K2.7 Code, with the same coding capabilities and a context window of 262.1K tokens, available through AI Gateway via moonshotai, fireworks.

ReasoningTool UseVision (Image)File InputImplicit Caching
index.ts
import { streamText } from 'ai'


const result = streamText({
  model: 'moonshotai/kimi-k2.7-code-highspeed',
  prompt: 'Why is the sky blue?'
})
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Frequently Asked Questions

  • How is Kimi K2.7 Code High Speed different from Kimi K2.7 Code?

    Serving speed and price. The underlying model is identical, so coding quality, multimodal input, and always-on thinking all carry over. Kimi K2.7 Code High Speed streams output faster and is priced accordingly; compare the live metrics and rates on each model's page.

  • How fast is Kimi K2.7 Code High Speed?

    Speed varies with load, context length, and routing, so a single number would mislead. Check the live throughput and time-to-first-token metrics on this page for measured performance through AI Gateway.

  • Does Kimi K2.7 Code High Speed keep the multimodal and long-horizon capabilities?

    Yes. Native image and video input, the long-horizon tool-use improvements, and the leaner reasoning budget all match Kimi K2.7 Code. Only the serving tier changes.

  • How do I switch from kimi-k2.7-code to kimi-k2.7-code-highspeed?

    Update the model string in your API call to moonshotai/kimi-k2.7-code-highspeed. Authentication, tool-calling format, and the rest of the integration stay the same.

  • How do I use Kimi K2.7 Code High Speed on AI Gateway?

    Use the identifier moonshotai/kimi-k2.7-code-highspeed with the AI SDK or any supported interface like Chat Completions, Responses, or Messages. AI Gateway routes across moonshotai, fireworks and handles failover automatically.

  • Does Kimi K2.7 Code High Speed support zero data retention?

    Yes, Zero Data Retention is available for this model. Zero Data Retention is offered on a per-provider basis. See https://vercel.com/docs/ai-gateway/capabilities/zdr for details.