Home › Models › DeepSeek V4 Pro
Flagship reasoning and coding model — flat pricing, roughly 80% below official peak rates, with cached input at $0.025 per 1M tokens.
| Specification | Value |
|---|---|
| Input / output price | $0.25 / $0.65 per 1M tokens |
| Cached input | $0.025 per 1M tokens (1/10 of input) |
| Context window | 128K tokens |
| Max output | 32,768 tokens |
| Strengths | Reasoning, coding, general chat |
from openai import OpenAI
client = OpenAI(base_url="https://bridge.computeindex.net/v1", api_key="sk-bridge-YOUR_KEY")
completion = client.chat.completions.create(
model="deepseek-v4-pro",
messages=[{"role": "user", "content": "Write a Python function that reverses a linked list."}],
stream=True,
)
for chunk in completion:
if chunk.choices[0].delta.content:
print(chunk.choices[0].delta.content, end="")
Is this the same model as DeepSeek's official V4 Pro? Yes — the same model family, served through Bridge's OpenAI-compatible gateway with per-token metering.
What does flat pricing mean? No time-of-day tiers. The price on the live price table is what you pay, any hour, any day.
Get $1 free credit → try DeepSeek V4 Pro