DeepSeek: DeepSeek V4 Pro

deepseek/deepseek-v4-pro

Released Apr 24, 20261,048,576 context$1.74/M input tokens$3.48/M output tokens

DeepSeek V4 Pro is a large-scale Mixture-of-Experts model from DeepSeek with 1.6T total parameters and 49B activated parameters, supporting a 1M-token context window. It is designed for advanced reasoning, coding, and long-horizon agent workflows, with strong performance across knowledge, math, and software engineering benchmarks.

Built on the same architecture as DeepSeek V4 Flash, it introduces a hybrid attention system for efficient long-context processing and supports multiple reasoning modes to balance speed and depth depending on the task. It is well suited for complex workloads such as full-codebase analysis, multi-step automation, and large-scale information synthesis, where both capability and efficiency are critical.

Providers for DeepSeek V4 Pro

OpenRouter routes requests to the best providers that are able to handle your prompt size and parameters, with fallbacks to maximize uptime.

Performance for DeepSeek V4 Pro

Compare different providers across OpenRouter

Effective Pricing for DeepSeek V4 Pro

Actual cost per million tokens across providers over the past hour

Apps using DeepSeek V4 Pro

Top public apps this month

Recent activity on DeepSeek V4 Pro

Total usage per day on OpenRouter

Prompt

6.63B

Completion

76.8M

Reasoning

62.2M

Prompt tokens measure input size. Reasoning tokens show internal thinking before a response. Completion tokens reflect total output length.

Uptime stats for DeepSeek V4 Pro

Uptime stats for DeepSeek V4 Pro across all providers

Sample code and API for DeepSeek V4 Pro

OpenRouter normalizes requests and responses across providers for you.

OpenRouter supports reasoning-enabled models that can show their step-by-step thinking process. Use the reasoning parameter in your request to enable reasoning, and access the reasoning_details array in the response to see the model's internal reasoning before the final answer. When continuing a conversation, preserve the complete reasoning_details when passing messages back to the model so it can continue reasoning from where it left off. Learn more about reasoning tokens.

In the examples below, the OpenRouter-specific headers are optional. Setting them allows your app to appear on the OpenRouter leaderboards.

Using third-party SDKs

For information about using third-party SDKs and frameworks with OpenRouter, please see our frameworks documentation.

See the Request docs for all possible fields, and Parameters for explanations of specific sampling parameters.