Using DeepSeek V4 Flash on Vercel AI Gateway

Implementation guide · DeepSeek V4 · DeepSeek

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Vercel AI Gateway exposes DeepSeek V4 Flash through model ID deepseek/deepseek-v4-flash. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.

Last refreshed 2026-07-03. 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 deepseek/deepseek-v4-flash — see the documentation for request format.
3
You'll be billed $0.13/1M input, $0.26/1M 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

deepseek/deepseek-v4-flash

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-v4-flash",
    messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)

Pricing on Vercel AI Gateway

Type	Price (per 1M)
Input tokens	$0.13
Output tokens	$0.26

Capabilities

ReasoningJSON / Tool useStructured OutputsPrompt Caching

About DeepSeek V4 Flash

DeepSeek V4 Flash is a 284B parameter (13B activated) Mixture-of-Experts language model with 1M-token context. Features a hybrid attention architecture combining Compressed Sparse Attention (CSA) and Heavily Compressed Attention (HCA) for efficient long-context inference. Supports thinking and non-thinking modes. Legacy API aliases deepseek-chat and deepseek-reasoner map to this model's non-thinking and thinking modes respectively. Pricing: $0.14/1M input, $0.28/1M output (cache hit: $0.0028/1M input). MIT licensed.

Full model details →

Model Specs

Released2026-04-24

Parameters284B

Context1m

ArchitectureMixture of Experts

Vercel