Using Kimi K2 Thinking on Vercel AI Gateway

Implementation guide · Kimi K2 · Moonshot AI

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Vercel AI Gateway exposes Kimi K2 Thinking through model ID moonshotai/kimi-k2-thinking. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.

Last refreshed 2026-06-29. Next refresh: weekly.

Quick Start

1
Create an account at Vercel AI Gateway and generate an API key.
2
Use the Vercel AI Gateway SDK or REST API to call moonshotai/kimi-k2-thinking — see the documentation for request format.
3
You'll be billed $0.60/1M input, $2.50/1M output tokens. See full pricing.

API Portal Documentation Pricing Model Card

Code Examples

Install

pip install openai

API key

AI_GATEWAY_API_KEY

Model ID

moonshotai/kimi-k2-thinking

creator/model-name e.g. kwaipilot/kat-coder-pro-v2

import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["AI_GATEWAY_API_KEY"],
    base_url="https://ai-gateway.vercel.sh/v1"
)
response = client.chat.completions.create(
    model="moonshotai/kimi-k2-thinking",
    messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)

Pricing on Vercel AI Gateway

Type	Price (per 1M)
Input tokens	$0.60
Output tokens	$2.50

Capabilities

ReasoningStructured Outputs

About Kimi K2 Thinking

Extended thinking variant of Kimi K2 with native reasoning capabilities. 256K context.

Full model details →

Model Specs

Released2025-01-01

Parameters1T (32B active)

Context256k

ArchitectureDecoder Only

Vercel