Using DeepSeek R1 on Vercel AI Gateway
Implementation guide · DeepSeek R1 · DeepSeek
ServerlessOpen Source
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
- 2Use the Vercel AI Gateway SDK or REST API to call
deepseek/deepseek-r1— see the documentation for request format. - 3
Code Examples
Install
pip install openaiAPI key
AI_GATEWAY_API_KEYModel ID
deepseek/deepseek-r1creator/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
| Type | Price (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