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deepseek-v4-pro Cost Calculator - DeepSeek

Calculate the cost of using deepseek-v4-pro from DeepSeek for your AI applications

Pricing data last updated:

deepseek-v4-pro Cost Calculator

Mode: Chat

Max: 1,000,000 tokens

Max: 8,192 tokens

Cost Breakdown

Input Cost$0.00043500
Output Cost$0.00087000
Total Cost$0.001305

Pricing Details

Input: $0.0000004350 per token
Output: $0.0000008700 per token
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Model Specifications

Capabilities

Function Calling

Limits

Max Input Tokens1,000,000
Max Output Tokens8,192
Max Tokens8,192

About deepseek-v4-pro

deepseek-v4-pro is a chat model from DeepSeek, one of 8 chat models they offer. It is priced at $0.43 per 1M input tokens and $0.87 per 1M output tokens, ranking 1054 out of 2301 chat models by cost and cheaper than 54% of models in this category. deepseek-v4-pro supports function calling, prompt caching, structured output. Its 1,000K-token context window is in the top 13% among chat models.

Pricing Information

Input Cost$0.43 per 1M tokens
Output Cost$0.87 per 1M tokens

Note: Use the interactive calculator above to estimate costs for your specific usage patterns.

Technical Specifications

Maximum Input Tokens1,000,000
Maximum Output Tokens8,192
Maximum Total Tokens8,192

Pro Tip

Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 1,000,000 input tokens. The maximum output length is 8,192 tokens.

Model Capabilities

Function Calling - Execute custom functions and tools
Prompt Caching - Optimize repeated prompts
System Messages - Configure model behavior
Parallel Function Calling - Execute multiple functions simultaneously
Response Schema - Structured output formatting

How deepseek-v4-pro Pricing Compares

At $0.43 per 1M input tokens and $0.87 per 1M output tokens, deepseek-v4-pro ranks 1054 out of 2301 chat models by input cost. It is more affordable compared to the median of $0.55 for chat models, and is cheaper than 54% of models in this category.

deepseek-v4-pro is one of 8 DeepSeek chat models, with support for function calling, prompt caching, structured output. its 1,000K-token context window places it in the top 13% of chat models.

ModelProviderInput / 1M tokensOutput / 1M tokensvs deepseek-v4-pro
gpt-4.1-miniAzure$0.40$1.60-8%
gpt-4.1-mini-2025-04-14Azure$0.40$1.60-8%
gemini-3-flash-previewVertex AI$0.50$3.00+15%

Alternatives to deepseek-v4-pro

Similar chat models from other providers

Azure
gpt-4.1-mini
$0.40/1M input
-8% vs deepseek-v4-pro
Azure
gpt-4.1-mini-2025-04-14
$0.40/1M input
-8% vs deepseek-v4-pro
Vertex AI
gemini-3-flash-preview
$0.50/1M input
+15% vs deepseek-v4-pro
Google Gemini
gemini-3-flash-preview
$0.50/1M input
+15% vs deepseek-v4-pro
OpenAI
gpt-4.1-mini
$0.40/1M input
-8% vs deepseek-v4-pro

Frequently Asked Questions

Is deepseek-v4-pro cheaper than gpt-4.1-mini?

No. deepseek-v4-pro costs $0.43 per 1M input tokens while gpt-4.1-mini costs $0.40 per 1M input tokens, making gpt-4.1-mini 8% more affordable for input. However, deepseek-v4-pro may offer different capabilities or performance characteristics that justify the price difference.

How does deepseek-v4-pro pricing compare to the average chat model?

deepseek-v4-pro input pricing is $0.43 per 1M tokens, which is 21% below the median of $0.55 for chat models. It ranks 1054 out of 2301 chat models by input cost, making it cheaper than 54% of models in this category. For output, it costs $0.87 per 1M tokens compared to the median of $1.50.

What makes deepseek-v4-pro different from other DeepSeek models?

Among DeepSeek's 8 chat models, deepseek-v4-pro ranks 7 by input cost.

What are the best alternatives to deepseek-v4-pro?

The most comparable chat models to deepseek-v4-pro are: gpt-4.1-mini from Azure ($0.40/1M input tokens); gpt-4.1-mini-2025-04-14 from Azure ($0.40/1M input tokens); gemini-3-flash-preview from Vertex AI ($0.50/1M input tokens); gemini-3-flash-preview from Google Gemini ($0.50/1M input tokens). These alternatives were selected based on similar capabilities, pricing, and provider diversity. You can compare any of these models in detail using the Bifrost Model Library.

How large is deepseek-v4-pro's context window?

deepseek-v4-pro supports up to 1,000,000 input tokens, placing it in the top 13% of chat models by context window size (rank 267 of 2158). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.

How do I check if DeepSeek is down?

You can monitor DeepSeek service health in real time on the Bifrost DeepSeek Status page. It tracks current component status, active incidents, and historical reliability data pulled from the official status page every 60 seconds.

How do I calculate deepseek-v4-pro costs?

deepseek-v4-pro is priced based on input and output tokens. Use the interactive calculator at the top of this page to estimate costs for your specific workload. Enter your expected input and output tokens volume and the calculator will show the total cost breakdown. For reference, processing 1M input tokens costs $0.43 and generating 1M output tokens costs $0.87.