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 Moonshot AI.
View API reference- Input and output price
- Input $1.90, Output $8, Per 1M tokens
- 24h uptime
- Loading AI Gateway uptime
import { streamText } from 'ai'
const result = streamText({ model: 'moonshotai/kimi-k2.7-code-highspeed', prompt: 'Why is the sky blue?'})Copy link to headingPlayground
Try out Kimi K2.7 Code High Speed by Moonshot AI. Usage is billed to your team at API rates. Free users (those who haven't made a payment) get $5 of credits every 30 days.
Kimi K2.7 Code High Speed
Kimi K2.7 Code High Speed
Copy link to headingProviders
Route requests across multiple providers. Copy a provider slug to set your preference. Visit the docs for more info. Using a provider means you agree to their terms, listed under Legal.
Copy link to headingUptime24 hours
Direct request success rate on AI Gateway and per-provider. Visit the docs for more info.
Copy link to headingThroughput24 hours
P50 throughput on live AI Gateway traffic, in tokens per second (TPS). Visit the docs for more info.
Copy link to headingLatency24 hours
P50 time to first token (TTFT) on live AI Gateway traffic, in milliseconds. View the docs for more info.
Getting started
Call Kimi K2.7 Code High Speed through AI Gateway with the AI SDK generateText and streamText functions, or through the OpenAI Chat Completions, OpenAI Responses, and Anthropic Messages APIs by changing the base URL. AI Gateway authenticates the request and routes it to an available provider.
Install the AI SDK (pnpm add ai dotenv), create an API key from the API Keys page, and set it as AI_GATEWAY_API_KEY in your environment. Full setup is covered in the text generation quickstart.
import { generateText } from 'ai';import 'dotenv/config';
async function main() { const result = await generateText({ model: 'moonshotai/kimi-k2.7-code-highspeed', prompt: 'Why is the sky blue?', });
console.log(result.text);}
main().catch(console.error);Top-level parameters
The same Kimi K2.7 Code High Speed request in each API format AI Gateway supports.
import { generateText } from 'ai';import 'dotenv/config';
async function main() { const result = await generateText({ model: 'moonshotai/kimi-k2.7-code-highspeed', system: 'You are a concise technical assistant.', prompt: 'Summarize the tradeoffs between static generation and SSR.', maxOutputTokens: 1024, });
console.log(result.text);}
main().catch(console.error);Standard parameters like prompt, messages, temperature, and tools work as documented in the AI SDK docs. These are the parameters with model-specific behavior.
| Parameter | Type | Required | Description |
|---|---|---|---|
model | string | Yes | Model ID in the form creator/model, e.g. moonshotai/kimi-k2.7-code-highspeed. AI Gateway routes the request to an available provider. |
maxOutputTokens | number | No | Hard cap on generated tokens. Kimi K2.7 Code High Speed supports up to 32,768 output tokens. Reasoning tokens count toward this limit. |
reasoning | 'provider-default' | 'none' | 'minimal' | 'low' | 'medium' | 'high' | 'xhigh' | No | Provider-agnostic reasoning effort, available in AI SDK 7 or later. Maps to the provider’s native reasoning configuration; reasoning settings under providerOptions take precedence when both are set. See the Reasoning section below. |
providerOptions | Record<string, JSONValue> | No | AI Gateway routing options under gateway, plus any provider-native options under the provider’s own namespace — see the table below. |
Input limits
| Input | Formats | Sources | Max count | Max size | Limits |
|---|---|---|---|---|---|
| Text | — | — | — | — | Prompt and response share the 262K-token context window |
| Image | — | URL, base64, Uint8Array | — | — | Sent as image parts in messages; counts as input tokens |
| — | URL, base64, Uint8Array | — | — | Sent as file parts in messages; counts as input tokens |
Provider options
Set AI Gateway routing options under providerOptions.gateway. For provider-specific options, pass them under the provider’s namespace as documented by the AI SDK.
Learn more in the AI SDK moonshotai provider docs.
import { generateText } from 'ai';import 'dotenv/config';
async function main() { const result = await generateText({ model: 'moonshotai/kimi-k2.7-code-highspeed', prompt: 'Why is the sky blue?', providerOptions: { gateway: { only: ['moonshotai'], }, }, });
console.log(result.text);}
main().catch(console.error);These AI Gateway routing options apply to every model. Provider-specific options pass through under the provider’s own namespace (for example providerOptions.anthropic) exactly as documented by the AI SDK.
| Parameter | Type | Required | Description |
|---|---|---|---|
providerOptions.gateway.only | string[] | No | Restrict routing to these provider slugs. Requests fail over only within the listed providers. |
providerOptions.gateway.order | string[] | No | Preferred provider order. Listed providers are tried first; unlisted providers remain available as fallbacks. |
providerOptions.gateway.sort | 'cost' | 'ttft' | 'tps' | No | Rank candidate providers by price, time to first token, or tokens per second instead of the default routing order. |
providerOptions.gateway.zeroDataRetention | boolean | No | Route only to providers with a zero-data-retention policy for this model. |
Routing across providers
AI Gateway serves the same model through multiple providers and fails over automatically. order expresses a preference while keeping every provider eligible; only is a hard allowlist — if none of the listed providers are available the request fails instead of falling back.
Options under a provider's own namespace (for example providerOptions.anthropic) are forwarded to that provider with the request. Providers ignore option namespaces that don't apply to them, so it is safe to set provider options alongside gateway routing options.
Reasoning
AI Gateway bridges reasoning across every API format. The AI SDK exposes a provider-agnostic top-level reasoning level (none, minimal, low, medium, high, or xhigh); the Chat Completions and Responses formats take the same effort under reasoning.effort; and the Anthropic Messages format uses a native thinking token budget. Whichever you send, the gateway maps it to the target model’s native configuration, converting between effort levels and token budgets as needed. Reasoning-related settings under providerOptions take full precedence over the top-level reasoning value and are never merged. Reasoning tokens typically count toward your output-token usage, though how they’re reported and billed varies by provider.
Learn more in the AI Gateway reasoning guide.
import { generateText } from 'ai';import 'dotenv/config';
async function main() { const result = await generateText({ model: 'moonshotai/kimi-k2.7-code-highspeed', prompt: 'Explain the Monty Hall problem step by step.', reasoning: 'high', });
console.log(result.text);}
main().catch(console.error);Image input
Send images alongside text as message parts. Images count as input tokens.
import { generateText } from 'ai';import 'dotenv/config';
async function main() { const result = await generateText({ model: 'moonshotai/kimi-k2.7-code-highspeed', messages: [ { role: 'user', content: [ { type: 'text', text: 'Describe this image.' }, { type: 'image', image: 'https://example.com/photo.jpg' }, ], }, ], });
console.log(result.text);}
main().catch(console.error);PDF input
Attach PDFs as file parts. Their contents count as input tokens.
import { generateText } from 'ai';import 'dotenv/config';
async function main() { const result = await generateText({ model: 'moonshotai/kimi-k2.7-code-highspeed', messages: [ { role: 'user', content: [ { type: 'text', text: 'Summarize this document.' }, { type: 'file', mediaType: 'application/pdf', data: 'https://example.com/document.pdf', }, ], }, ], });
console.log(result.text);}
main().catch(console.error);Tool calling
Expose tools the model can call. Define each tool’s inputs with a Zod schema.
import { generateText, tool } from 'ai';import { z } from 'zod';import 'dotenv/config';
async function main() { const result = await generateText({ model: 'moonshotai/kimi-k2.7-code-highspeed', prompt: 'What is the weather in San Francisco?', tools: { getWeather: tool({ description: 'Get the current weather for a location', inputSchema: z.object({ location: z.string() }), execute: async ({ location }) => ({ location, temperatureC: 18 }), }), }, });
console.log(result.text);}
main().catch(console.error);Copy link to headingMore models by Moonshot AI
| Model |
|---|
| 1M | 1.6 s | 122 tps | $4.50/M | $22.50/M | Read$0.45/M | — | +2 |   | 07/27/2026 | |||||
| 1M | 0.6 s | 163 tps | $2.50/M+1 more | $12.75/M+1 more | Read$0.29/M | — | +2 |    +11 | 07/16/2026 | |||||
| 262K | 0.8 s | 90 tps | $0.74/M+1 more | $3.50/M+1 more | Read$0.15/M | — | +2 |  +1 | 06/12/2026 | |||||
| 262K | 0.4 s | 131 tps | $0.95/M | $4/M | Read$0.16/M | — | +1 | +1 | 04/20/2026 | |||||
| 262K | 0.7 s | 52 tps | $0.60/M | $3/M | Read$0.10/M | — | +1 |   | 01/26/2026 | |||||
| 216K | 0.9 s | 15 tps | $0.47/M | $2/M | Read$0.14/M | — | | 11/06/2025 |
Copy link to headingAbout Kimi K2.7 Code High Speed
Kimi K2.7 Code High Speed is the high-speed serving tier for Kimi K2.7 Code, Moonshot AI's coding-focused agentic model. The weights and capabilities are the same; the difference is how fast the endpoint streams tokens back. Released on June 15, 2026, Kimi K2.7 Code High Speed targets coding-agent scenarios where output speed shapes the experience.
Everything documented for the standard variant carries over. Kimi K2.7 Code High Speed is a Mixture-of-Experts model with one trillion total parameters and 32 billion active per forward pass. Compared with Kimi K2.6, Kimi K2.7 Code High Speed improves coding and agent performance, spends roughly 30% fewer thinking tokens, and follows instructions better across long-horizon sessions. Native image and video input is included, and thinking mode stays always on.
Serving speed counts when a human is in the loop. Interactive coding assistants stream code while a developer watches, and edit-run-fix cycles repeat dozens of times per session. Faster output compounds across every one of those turns. Real-world speed varies with load, context length, and routing, so check the live throughput and latency metrics on this page instead of relying on published peaks.
Switching from the standard variant is a model-string change. Set the model to moonshotai/kimi-k2.7-code-highspeed and keep the rest of your integration: the AI SDK, Chat Completions, Responses, Messages, and other API formats all work through AI Gateway, which routes across Moonshot AI with automatic failover.
Kimi K2.7 Code High Speed supports a context window of 262.1K tokens and completions up to 32.8K tokens per request. Pricing through AI Gateway is $1.90 per million input tokens and $8 per million output tokens, with cached input at $0.38 per million tokens.
Copy link to headingWhat To Consider When Choosing a Provider
- Configuration: Kimi K2.7 Code High Speed serves the same underlying model as Kimi K2.7 Code, so output quality doesn't change; you're paying for faster serving. Compare $1.90 per million input tokens and $8 per million output tokens against the standard variant's rates before committing high-volume traffic. Thinking mode is always on, so reasoning tokens still count toward output. Throughput varies with load and context length; the live metrics on this page show measured numbers rather than published peaks.
- Zero Data Retention: Zero Data Retention is available for this model. It is offered on a per-provider and model basis. See the documentation for details.
- Authentication: AI Gateway authenticates requests using an API key or OIDC token. You do not need to manage provider credentials directly.
Copy link to headingWhen to Use Kimi K2.7 Code High Speed
Best for
- Interactive coding assistants: Streaming code to a developer who's watching, where slow generations stall the session
- Tight iteration loops: Edit-run-fix cycles that repeat dozens of times, so output speed compounds across turns
- Latency-sensitive coding agents: Long-horizon agents that need Kimi K2.7 Code quality under a response-time budget
- Drop-in speed upgrade: Teams on Kimi K2.7 Code that want faster serving with identical model behavior
Consider alternatives when
- Cost-sensitive workloads: Kimi K2.7 Code serves the same weights at standard rates when throughput isn't the constraint
- Batch or offline pipelines: Faster serving adds little value when no one is waiting on the stream
- Work beyond code: Kimi K2.6 covers broader design-with-code and general multimodal workflows
- Optional thinking mode: A non-thinking Kimi K2 variant skips always-on reasoning when deliberation doesn't help
Copy link to headingConclusion
Kimi K2.7 Code High Speed gives you Kimi K2.7 Code without the wait. When the coding quality is right and output speed is the remaining bottleneck, swap the model string and check the live metrics on this page to see what you gain.
Copy link to headingFrequently 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-codeto 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-highspeedwith the AI SDK or any supported interface like Chat Completions, Responses, or Messages. AI Gateway routes acrossmoonshotaiand 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.
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