Model Library/Deepseek V4 Pro
deepseek/deepseek-v4-pro

Deepseek V4 Pro

deepseek/deepseek-v4-pro
DeepSeek-V4-Pro is the next-generation flagship open-source large language model developed by DeepSeek, delivering comprehensive performance that rivals the world's premier closed-source models. Compared to its predecessor, V4-Pro achieves a breakthrough evolution in Agentic capabilities. It firmly holds the top position among open-source models in Agentic Coding, providing a high-quality, end-to-end code delivery experience that surpasses mainstream industry benchmarks (such as Sonnet 4.5). Furthermore, the model not only boasts an expansive repository of world knowledge that leads the open-source community, but it also demonstrates ultimate logical reasoning prowess in highly demanding evaluations—including mathematics, STEM, and competitive programming. In these rigorous domains, V4-Pro outperforms all publicly evaluated open-source models and matches the capabilities of global closed-source giants. As the ideal foundational model for building complex agentic workflows, professional-grade software developm

Features

Serverless API

Docs

deepseek/deepseek-v4-pro is available via Novita's serverless API, where you pay per token. There are several ways to call the API, including OpenAI-compatible endpoints with exceptional reasoning performance.

Available Serverless

Run queries immediately, pay only for usage

Input$1.74 / M Tokens
Cache Read$0.145 / M Tokens
Output$3.48 / M Tokens

Use the following code examples to integrate with our API:

1from openai import OpenAI
2
3client = OpenAI(
4    api_key="<Your API Key>",
5    base_url="https://api.novita.ai/openai"
6)
7
8response = client.chat.completions.create(
9    model="deepseek/deepseek-v4-pro",
10    messages=[
11        {"role": "system", "content": "You are a helpful assistant."},
12        {"role": "user", "content": "Hello, how are you?"}
13    ],
14    max_tokens=393216,
15    temperature=0.7
16)
17
18print(response.choices[0].message.content)

Info

Provider
DeepSeek
Quantization
-

Supported Functionality

Context Length
1048576
Max Output
393216
Serverless
Supported
Function Calling
Supported
Structured Output
Supported
Reasoning
Supported
Anthropic API
Supported
Input Capabilities
text
Output Capabilities
text