DeepSeek V3.1 Terminus on Vercel AI Gateway

Name: DeepSeek V3.1 Terminus on Vercel AI Gateway
Brand: DeepSeek
SKU: deepseek-v3.1-terminus-vercel-ai-gateway
Price: 0.27 USD

DeepSeek · DeepSeek

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

Why use DeepSeek V3.1 Terminus on Vercel AI Gateway?

Vercel AI Gateway offers DeepSeek V3.1 Terminus with pay-as-you-go pricing at $0.27/1M input tokens. Vercel AI Gateway is a unified AI proxy providing a single OpenAI-compatible API endpoint to 275+ models from 25+ providers including Anthropic, OpenAI, Google, Meta, Mistral, DeepSeek, xAI, Alibaba, Amazon, ByteDance, Cohere, MiniMax, MoonshotAI, KwaiPilot, Black Forest Labs, Recraft, Voyage AI, NVIDIA, and more.

Compare DeepSeek V3.1 Terminus across 4 providers to find the best fit for your use case

Input / 1M

$0.27

Output / 1M

$1.00

Cache

read $0.135

Batch

Not sourced

Setup recipe

Python + curl

Install

pip install openai

Auth

export AI_GATEWAY_API_KEY=...

Call

import os
from openai import OpenAI
client = OpenAI(
    api_key=os.environ["AI_GATEWAY_API_KEY"],

Model ID

deepseek/deepseek-v3.1-terminus

Request example

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-v3.1-terminus",
    messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)

Gotchas

Use provider model ID "deepseek/deepseek-v3.1-terminus", not the LLMReference slug "deepseek-v3.1-terminus".
creator/model-name e.g. kwaipilot/kat-coder-pro-v2
The examples expect AI_GATEWAY_API_KEY; rename it only if your application config maps the new variable.