Using DeepSeek R1 on Vercel AI Gateway

Implementation guide · DeepSeek R1 · DeepSeek

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Vercel AI Gateway exposes DeepSeek R1 through model ID deepseek/deepseek-r1. 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. 1
    Create an account at Vercel AI Gateway and generate an API key.
  2. 2
    Use the Vercel AI Gateway SDK or REST API to call deepseek/deepseek-r1 — see the documentation for request format.
  3. 3
    You'll be billed $1.35/1M input, $5.40/1M output tokens. See full pricing.

Code Examples

Install
pip install openai
API key
AI_GATEWAY_API_KEY
Model ID
deepseek/deepseek-r1

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="deepseek/deepseek-r1",
    messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)

Pricing on Vercel AI Gateway

TypePrice (per 1M)
Input tokens$1.35
Output tokens$5.40

Capabilities

ReasoningStructured OutputsCode Execution

About DeepSeek R1

DeepSeek R1: Reasoning-optimized model with extended thinking capabilities. 128K context.

Model Specs

Released2025-01-20
Parameters671B, 37B Active
Context128k
ArchitectureDecoder Only
Knowledge cutoff2023-12

Provider

Vercel AI Gateway

Vercel