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DeepSeek-V4-Pro-0813 Cost Calculator - Together AI

Calculate the cost of using DeepSeek-V4-Pro-0813 from Together AI for your AI applications

Pricing data last updated:

DeepSeek-V4-Pro-0813 Cost Calculator

Mode: Chat

Max: 1,048,576 tokens

Cost Breakdown

Input Cost$0.001320
Output Cost$0.003960
Total Cost$0.005280

Pricing Details

Input: $0.00000132 per token
Output: $0.00000396 per token
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Model Specifications

Capabilities

Function Calling

Limits

Max Input Tokens1,048,576
Max Tokens1,048,576

About DeepSeek-V4-Pro-0813

DeepSeek-V4-Pro-0813 is a chat model from Together AI, one of 57 chat models they offer. It is priced at $1.32 per 1M input tokens and $3.96 per 1M output tokens, ranking 2093 out of 2912 chat models by cost and cheaper than 28% of models in this category. DeepSeek-V4-Pro-0813 supports function calling, prompt caching, structured output. Its 1,049K-token context window is in the top 9% among chat models.

Pricing Information

Input Cost$1.32 per 1M tokens
Output Cost$3.96 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 Total Tokens1,048,576

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.

Model Capabilities

Function Calling - Execute custom functions and tools
Prompt Caching - Optimize repeated prompts
Response Schema - Structured output formatting

How DeepSeek-V4-Pro-0813 Pricing Compares

At $1.32 per 1M input tokens and $3.96 per 1M output tokens, DeepSeek-V4-Pro-0813 ranks 2093 out of 2912 chat models by input cost. It is more expensive compared to the median of $0.55 for chat models, and is cheaper than 28% of models in this category.

DeepSeek-V4-Pro-0813 is one of 57 Together AI chat models, with support for function calling, prompt caching, structured output. its 1,049K-token context window places it in the top 9% of chat models.

ModelProviderInput / 1M tokensOutput / 1M tokensvs DeepSeek-V4-Pro-0813
apac.anthropic.claude-haiku-4-5-20251001-v1:0AWS Bedrock$1.10$5.50-17%
gpt-5-2025-08-07Azure$1.38$11.00+4%
gpt-5.1Azure$1.38$11.00+5%

Alternatives to DeepSeek-V4-Pro-0813

Similar chat models from other providers

AWS Bedrock
apac.anthropic.claude-haiku-4-5-20251001-v1:0
$1.10/1M input
-17% vs DeepSeek-V4-Pro-0813
Azure
gpt-5-2025-08-07
$1.38/1M input
+4% vs DeepSeek-V4-Pro-0813
Azure
gpt-5.1
$1.38/1M input
+5% vs DeepSeek-V4-Pro-0813
Azure
gpt-5.1-chat
$1.38/1M input
+5% vs DeepSeek-V4-Pro-0813
Azure
gpt-5.1-2025-11-13
$1.25/1M input
-5% vs DeepSeek-V4-Pro-0813

Frequently Asked Questions

Is DeepSeek-V4-Pro-0813 cheaper than apac.anthropic.claude-haiku-4-5-20251001-v1:0?

No. DeepSeek-V4-Pro-0813 costs $1.32 per 1M input tokens while apac.anthropic.claude-haiku-4-5-20251001-v1:0 costs $1.10 per 1M input tokens, making apac.anthropic.claude-haiku-4-5-20251001-v1:0 17% more affordable for input. However, DeepSeek-V4-Pro-0813 may offer different capabilities or performance characteristics that justify the price difference.

How does DeepSeek-V4-Pro-0813 pricing compare to the average chat model?

DeepSeek-V4-Pro-0813 input pricing is $1.32 per 1M tokens, which is 140% above the median of $0.55 for chat models. It ranks 2093 out of 2912 chat models by input cost, making it cheaper than 28% of models in this category. For output, it costs $3.96 per 1M tokens compared to the median of $1.50.

What makes DeepSeek-V4-Pro-0813 different from other Together AI models?

Among Together AI's 57 chat models, DeepSeek-V4-Pro-0813 ranks 49 by input cost.

What are the best alternatives to DeepSeek-V4-Pro-0813?

The most comparable chat models to DeepSeek-V4-Pro-0813 are: apac.anthropic.claude-haiku-4-5-20251001-v1:0 from AWS Bedrock ($1.10/1M input tokens); gpt-5-2025-08-07 from Azure ($1.38/1M input tokens); gpt-5.1 from Azure ($1.38/1M input tokens); gpt-5.1-chat from Azure ($1.38/1M 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-0813's context window?

DeepSeek-V4-Pro-0813 supports up to 1,048,576 input tokens, placing it in the top 9% of chat models by context window size (rank 239 of 2714). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.

How do I check if Together AI is down?

You can monitor Together AI service health in real time on the Bifrost Together AI 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-0813 costs?

DeepSeek-V4-Pro-0813 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 $1.32 and generating 1M output tokens costs $3.96.