Kimi K2.7 Code by LLM Gateway | AI model information

$10 off Synthetic - fastest OpenCode provider$10 off Synthetic - the fastest Kimi K2.6 and GLM 5.1 provider Discuss

Model details

Kimi K2.7 Code

LLM Gatewaykimi-k2.7-codekimi-k2

Open provider page Provider docs

Quick Info

Provider: LLM Gateway
Model key: kimi-k2.7-code
Release date: Jun 12, 2026
Last updated: Jun 12, 2026

Cost

Input token cost: $0.95
Output token cost: $4.00

Limits

Output tokens: 262,144 tokens
Context window

Latest news about Kimi K2.7 Code

Videos about Kimi K2.7 Code

More models around Kimi K2.7 Code

Browse family

Also served by

This exact model name is also listed by 17 other providers.

Ambient Baseten Cloudflare Workers AI Fireworks AI Kimi For Coding Moonshot AI Moonshot AI (China)Neuralwatt Ollama Cloud OpenCode Go OpenRouter Together AI Umans AI Umans AI Coding Plan Venice AI Vercel AI Gateway ZenMux

41 providers

Kimi K2.6

Currently listed through these providers:

LLM Gateway AIHubMix Alibaba Token Plan Alibaba Token Plan (China)Ambient +36 more

21 providers

Kimi K2.5

Currently listed through these providers:

Alibaba Coding Plan Alibaba Coding Plan (China)Azure Azure Cognitive Services Baseten +16 more

2 providers

Kimi K2.7 Code HighSpeed

Currently listed through these providers:

Moonshot AI Moonshot AI (China)

2 providers

Umans Coder

Currently listed through these providers:

Umans AI Umans AI Coding Plan

1 provider

Kimi K2.7 Code High Speed

Currently listed through:

Vercel AI Gateway

1 provider

Kimi K2.7 Code Fast

Currently listed through:

Fireworks AI

1 provider

Kimi K2.6 6bit

Currently listed through:

routing.run

1 provider

Kimi K2.6 Fast

Currently listed through:

Neuralwatt

1 provider

Kimi K2.6 TEE

Currently listed through:

Chutes

1 provider

Moonshot Kimi K2.6

Currently listed through:

Alibaba (China)

1 provider

moonshotai/Kimi-K2.6

Currently listed through:

SiliconFlow

1 provider

Pro/moonshotai/Kimi-K2.6

Currently listed through:

SiliconFlow (China)

Discuss this model

Powered byHyvor Talk

Add corrections, implementation notes, pricing changes, or usage caveats for other readers.