DeepSeek V4 Flash on Vercel AI Gateway

DeepSeek V4 · DeepSeek

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Last refreshed 2026-07-03. Next refresh: weekly.

Why use DeepSeek V4 Flash on Vercel AI Gateway?

Vercel AI Gateway offers DeepSeek V4 Flash with pay-as-you-go pricing at $0.13/1M 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 V4 Flash across 5 providers to find the best fit for your use case
Input / 1M
$0.13
Output / 1M
$0.26
Cache
read $0.028
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-v4-flash

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

Gotchas

  • Use provider model ID "deepseek/deepseek-v4-flash", not the LLMReference slug "deepseek-v4-flash".
  • 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.

Compare DeepSeek V4 Flash Across Providers

ProviderInput (per 1M)Output (per 1M)
DeepSeek Platform$0.22$0.66
OpenRouter$0.06$0.12
Microsoft Foundry$0.19$0.51
Vercel AI Gateway$0.13$0.26
Novita AI$0.14$0.28

Pricing

TypePrice (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.

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Model Specs

Released2026-04-24
Parameters284B
Context1m
ArchitectureMixture of Experts

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