Using Kimi K3.1 Pro on Vercel AI Gateway

Implementation guide · Kimi · Moonshot AI

Serverless

Vercel AI Gateway exposes Kimi K3.1 Pro through model ID moonshotai/kimi-k3.1-pro. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.

Last refreshed 2026-10-23. 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-k3.1-pro — see the documentation for request format.
3
You'll be billed $2.00/1M input, $10.00/1M 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-k3.1-pro

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-k3.1-pro",
    messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)

Pricing on Vercel AI Gateway

Type	Price (per 1M)
Input tokens	$2.00
Output tokens	$10.00

Capabilities

VisionMultimodalReasoningJSON / Tool useStructured OutputsPrompt Caching

About Kimi K3.1 Pro

Kimi K3.1 Pro is the first model in Moonshot AI's K3.1 series, a post-trained version of Kimi K3. It has a 1,048,576-token context window, always-on reasoning with low, high and max effort, image and video input, tool calling and strict JSON Schema structured output. Released 2026-10-23 on Kimi.ai, Kimi Work, Kimi Code and the Kimi API; Moonshot says full weights will follow by 2026-11-04.

Full model details →

Model Specs

Released2026-10-23

Parameters2800B total; 104B active

Context1M

ArchitectureMixture of Experts

Vercel