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Kimi K3 Fast

Kimi K3 Fast is the faster serving path for Moonshot AI's Kimi K3. It trades a higher per-token rate for lower latency, keeps the context window of 1M tokens, and routes through AI Gateway via Fireworks, Morph, Wafer. Your use is subject to Moonshot AI's Terms & Privacy Policies.

ReasoningTool UseImplicit CachingFile InputVision (Image)
import { streamText } from 'ai'
const result = streamText({
model: 'moonshotai/kimi-k3-fast',
prompt: 'Why is the sky blue?'
})
Read docs

Playground

Try out Kimi K3 Fast 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.

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Kimi K3 Fast

Providers

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.

Provider
Context
Max Output
Latency
Throughput
Input
Output
Cache
Web Search
Capabilities
ZDR
No Training
Release Date
1M131K
$4.50/M
$22.50/M
Read:$0.45/M
Write:
+2
07/27/2026
1M1M
$4.50/M
$22.50/M
Read:$0.45/M
Write:
+2
07/27/2026
1M131K
$4.50/M
$22.50/M
Read:$0.45/M
Write:
+1
07/27/2026
Throughput

P50 throughput on live AI Gateway traffic, in tokens per second (TPS). Visit the docs for more info.

Latency

P50 time to first token (TTFT) on live AI Gateway traffic, in milliseconds. View the docs for more info.

Uptime

Direct request success rate on AI Gateway and per-provider. Visit the docs for more info.

More models by Moonshot AI

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Throughput
Input
Output
Cache
Web Search
Capabilities
Providers
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No Training
Release Date
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106tps
$2.90/MFast $4.50/M
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Write:
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About Kimi K3 Fast

Kimi K3 Fast is the fast serving tier for Kimi K3, Moonshot AI's open-source model for long-horizon engineering work. Released July 27, 2026, Kimi K3 Fast trades a higher per-token cost for lower latency. The model's capabilities don't change.

Everything documented for the base model carries over. Kimi K3 Fast accepts text, image, and video input, supports a context window of 1M tokens, and keeps thinking mode always on. The strengths match too: long-horizon software engineering, knowledge work, deep reasoning, and tasks where code meets visual and spatial reasoning like frontend development, game development, and computer-aided design (CAD).

Two paths reach the fast tier. Set the speed option to fast while keeping the model ID on moonshotai/kimi-k3, and AI Gateway routes to the fast tier and falls back to standard speed when it isn't available. Or call moonshotai/kimi-k3-fast directly, which pins every request to the fast tier without that fallback.

Serving speed counts when someone is waiting. Interactive coding assistants stream output while a developer watches, and edit-run-fix loops repeat many times in a session, so per-turn latency compounds. Batch and offline jobs gain little. Throughput varies with load and context length, so read the live metrics on this page instead of planning around a fixed number.

AI Gateway routes Kimi K3 Fast across Fireworks, Morph, Wafer, including US-based providers for teams with data residency and compliance requirements. To keep inference in US data centers, set inferenceRegion with scope zone and geo region us. Zero Data Retention is configured per request with zeroDataRetention or turned on for every request from AI Gateway dashboard settings, and support varies by provider.

Use the identifier moonshotai/kimi-k3-fast with the AI SDK or any supported interface like Chat Completions, Responses, or Messages. Kimi K3 Fast supports a context window of 1M tokens and completions up to 1M tokens per request, at $4.5 per million input tokens and $22.5 per million output tokens.

What To Consider When Choosing a Provider

  • Configuration: The fast tier lists above the base model, so compare $4.5 and $22.5 against Kimi K3 before you move high-volume traffic. Pinning moonshotai/kimi-k3-fast skips the fallback to standard speed that the speed option provides on the base model ID, so decide which behavior you want during a fast-tier shortage. Thinking mode stays always on, and those reasoning tokens still count toward the completion cap of 1M tokens. Measured throughput varies with load and context length, so use the live metrics on this page rather than a published figure.
  • Zero Data Retention: AI Gateway supports Zero Data Retention for this model via direct gateway requests (BYOK is not included). To configure this, check the documentation.
  • Authentication: AI Gateway authenticates requests using an API key or OIDC token. You do not need to manage provider credentials directly.

When to Use Kimi K3 Fast

Best for

  • Interactive Coding Assistants: Streaming output to a developer who watches the session
  • Tight Iteration Loops: Edit-run-fix cycles where per-turn latency compounds across a session
  • Latency-Budgeted Agents: Long-horizon agents that need Kimi K3 quality under a response-time cap
  • Drop-In Speed Upgrade: Teams on Kimi K3 that want faster serving with the same behavior

Consider alternatives when

  • Cost-Sensitive Traffic: Kimi K3 serves the same model at the standard per-token rate
  • Batch and Offline Jobs: Faster serving adds little when nobody waits on the output
  • Automatic Speed Fallback: The speed option on the base model ID falls back to standard speed
  • Optional Thinking Mode: A non-thinking Kimi K2 variant answers without a reasoning pass

Conclusion

Kimi K3 Fast gives you Kimi K3 with less waiting. When the output already meets your bar and response time is the remaining bottleneck, switch the model ID to moonshotai/kimi-k3-fast or set the speed option on the base model, then read the live metrics on this page to see what you gain.