DeepSeek V4 Pro

Call DeepSeek V4 Pro in one line

DeepSeek V4 Pro speaks through the same OpenAI-compatible endpoint as every other model. Point your existing client at Final Router, set the model id, and you also get automatic fallback, spend caps and usage tracking - none of which the provider gives you directly.

from openai import OpenAI

client = OpenAI(
    api_key="fr_live_...",                     # your Final Router key
    base_url="https://finalrouter.com/api/v1"  # the only line you change
)

resp = client.chat.completions.create(
    model="deepseek/deepseek-v4-pro",
    messages=[{"role": "user", "content": "Hello!"}],
)
print(resp.choices[0].message.content)

DeepSeek V4 Pro FAQ

How much does DeepSeek V4 Pro cost through Final Router?

$0.66 per million input tokens and $1.98 per million output tokens - the provider's own list price, with no markup on tokens. A 5.5% fee applies only when you add credits.

What is DeepSeek V4 Pro's context window?

1,000,000 tokens.

Does DeepSeek V4 Pro train on my data?

On the tier we route to, DeepSeek may use prompts for training - check which key you connected.

How do I call DeepSeek V4 Pro?

Point any OpenAI-compatible client at https://finalrouter.com/api/v1 with your Final Router key and set model to "deepseek/deepseek-v4-pro". Your existing code does not change.