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deepseek-v4-pro

DeepSeek v4 Pro - 1.6T total / 49B active params. Performance rivaling the world's top closed-source models.

🔧Tool calling⚡Caching
Try deepseek-v4-proCompareDocs

Specifications

Context window1M tokens
Max output384K tokens
API typechat
AddedApr 24, 2026
Model IDdeepseek/deepseek-v4-pro
Data retentionYes
Used for trainingUnknown
Provider location🇨🇳 China
Privacy policyDeepSeek Privacy Policy→

Benchmarks

Benchmarks haven't been published yet for this exact variant.

Some variants (region-specific deployments, highspeed tiers) share benchmarks with their base model — check the base model page or the DeepSeek models overview.

Pricing

Input / 1M
$1.74
Output / 1M
$3.48
Cache write / 1M
$1.74
Cache read / 1M
$0.14
Estimated cost
100K input + 10K output$0.21
1M input + 100K output$2.09
10M input + 1M output$20.88

Requesty charges exactly what the upstream provider charges — no markup, no per-request fees. Prompt caching and smart routing can reduce effective cost by 30-80%.

Quickstart

Drop-in compatible with the OpenAI SDK. Change the base URL, swap in your Requesty API key, and set the model to deepseek/deepseek-v4-pro.

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from openai import OpenAI

client = OpenAI(
    api_key="YOUR_REQUESTY_API_KEY",
    base_url="https://router.requesty.ai/v1",
)

response = client.chat.completions.create(
    model="deepseek/deepseek-v4-pro",
    messages=[
        {"role": "user", "content": "Explain quantum computing in one paragraph."},
    ],
)

print(response.choices[0].message.content)

Other DeepSeek models

deepseek-v4-flash
1M ctx$0.14/1M
deepseek-chat
1M ctx$0.14/1M
deepseek-reasoner
1M ctx$0.14/1M

Frequently asked questions

How much does deepseek-v4-pro cost?
deepseek-v4-pro is priced at $1.74 per million input tokens and $3.48 per million output tokens when accessed via Requesty. Prompt caching is supported, which can cut effective input cost by up to 90% on repeated context. Requesty charges exactly what the upstream provider charges — we don't add markup.
What is the context window of deepseek-v4-pro?
deepseek-v4-pro has a context window of 1M tokens, with a maximum output of 384K tokens per response. That's roughly 1,333 words of input you can fit in a single prompt.
What can deepseek-v4-pro do?
deepseek-v4-pro supports tool calling, prompt caching. You can call it through any OpenAI-compatible client by pointing base_url to Requesty.
How do I use deepseek-v4-pro with the OpenAI SDK?
Install the OpenAI SDK, set base_url to "https://router.requesty.ai/v1", set your API key to your Requesty key, and set the model to "deepseek/deepseek-v4-pro". The Quickstart above shows Python, JavaScript and cURL snippets.

Access deepseek-v4-pro through Requesty

One API key, 400+ models, OpenAI-compatible. No markup on provider prices, automatic failover, and smart caching built-in.

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