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deepseek-v4-pro Cost Calculator - OpenRouter

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

Pricing data last updated:

deepseek-v4-pro Cost Calculator

Mode: Chat

Max: 1,048,576 tokens

Max: 393,216 tokens

Cost Breakdown

Input Cost$0.001168
Output Cost$0.002336
Total Cost$0.003504

Pricing Details

Input: $0.00000117 per token
Output: $0.00000234 per token
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Model Specifications

Capabilities

Function Calling
Reasoning

Limits

Max Input Tokens1,048,576
Max Output Tokens393,216
Max Tokens393,216

About deepseek-v4-pro

deepseek-v4-pro is a chat model from OpenRouter, one of 432 chat models they offer. It is priced at $1.17 per 1M input tokens and $2.34 per 1M output tokens, ranking 1923 out of 2788 chat models by cost and cheaper than 31% of models in this category. deepseek-v4-pro supports function calling, reasoning, prompt caching, structured output. Its 1,049K-token context window is in the top 8% among chat models.

Pricing Information

Input Cost$1.17 per 1M tokens
Output Cost$2.34 per 1M tokens

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

Technical Specifications

Maximum Input Tokens1,048,576
Maximum Output Tokens393,216
Maximum Total Tokens393,216

Pro Tip

Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 1,048,576 input tokens. The maximum output length is 393,216 tokens.

Model Capabilities

Function Calling - Execute custom functions and tools
Advanced Reasoning - Complex problem-solving capabilities
Prompt Caching - Optimize repeated prompts
Response Schema - Structured output formatting

How deepseek-v4-pro Pricing Compares

At $1.17 per 1M input tokens and $2.34 per 1M output tokens, deepseek-v4-pro ranks 1923 out of 2788 chat models by input cost. It is more expensive compared to the median of $0.55 for chat models, and is cheaper than 31% of models in this category.

deepseek-v4-pro is one of 432 OpenRouter chat models, with support for function calling, reasoning, prompt caching, structured output. its 1,049K-token context window places it in the top 8% of chat models.

ModelProviderInput / 1M tokensOutput / 1M tokensvs deepseek-v4-pro
anthropic.claude-haiku-4-5-20251001-v1:0AWS Bedrock$1.00$5.00-14%
anthropic.claude-haiku-4-5@20251001AWS Bedrock$1.00$5.00-14%
apac.anthropic.claude-haiku-4-5-20251001-v1:0AWS Bedrock$1.10$5.50-6%

Alternatives to deepseek-v4-pro

Similar chat models from other providers

AWS Bedrock
anthropic.claude-haiku-4-5-20251001-v1:0
$1.00/1M input
-14% vs deepseek-v4-pro
AWS Bedrock
anthropic.claude-haiku-4-5@20251001
$1.00/1M input
-14% vs deepseek-v4-pro
AWS Bedrock
apac.anthropic.claude-haiku-4-5-20251001-v1:0
$1.10/1M input
-6% vs deepseek-v4-pro
Azure
claude-haiku-4-5
$1.00/1M input
-14% vs deepseek-v4-pro
Azure
gpt-5-2025-08-07
$1.38/1M input
+18% vs deepseek-v4-pro

Frequently Asked Questions

Is deepseek-v4-pro cheaper than anthropic.claude-haiku-4-5-20251001-v1:0?

No. deepseek-v4-pro costs $1.17 per 1M input tokens while anthropic.claude-haiku-4-5-20251001-v1:0 costs $1.00 per 1M input tokens, making anthropic.claude-haiku-4-5-20251001-v1:0 14% 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 $1.17 per 1M tokens, which is 114% above the median of $0.55 for chat models. It ranks 1923 out of 2788 chat models by input cost, making it cheaper than 31% of models in this category. For output, it costs $2.34 per 1M tokens compared to the median of $1.50.

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

Among OpenRouter's 432 chat models, deepseek-v4-pro ranks 284 by input cost.

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

The most comparable chat models to deepseek-v4-pro are: anthropic.claude-haiku-4-5-20251001-v1:0 from AWS Bedrock ($1.00/1M input tokens); anthropic.claude-haiku-4-5@20251001 from AWS Bedrock ($1.00/1M input tokens); apac.anthropic.claude-haiku-4-5-20251001-v1:0 from AWS Bedrock ($1.10/1M input tokens); claude-haiku-4-5 from Azure ($1.00/1M 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 1,048,576 input tokens, placing it in the top 8% of chat models by context window size (rank 174 of 2599). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.

How do I check if OpenRouter is down?

You can monitor OpenRouter service health in real time on the Bifrost OpenRouter 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 $1.17 and generating 1M output tokens costs $2.34.