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deepseek-v4-pro Cost Calculator - Opencode

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

Pricing data last updated:

deepseek-v4-pro Cost Calculator

Mode: Chat

Cost Breakdown

Input Cost$0.001740
Output Cost$0.003480
Total Cost$0.005220

Pricing Details

Input: $0.00000174 per token
Output: $0.00000348 per token
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About deepseek-v4-pro

deepseek-v4-pro is a chat model from Opencode, one of 48 chat models they offer. It is priced at $1.74 per 1M input tokens and $3.48 per 1M output tokens, ranking 1705 out of 2292 chat models by cost and cheaper than 26% of models in this category.

Pricing Information

Input Cost$1.74 per 1M tokens
Output Cost$3.48 per 1M tokens

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

How deepseek-v4-pro Pricing Compares

At $1.74 per 1M input tokens and $3.48 per 1M output tokens, deepseek-v4-pro ranks 1705 out of 2292 chat models by input cost. It is more expensive compared to the median of $0.55 for chat models, and is cheaper than 26% of models in this category.

ModelProviderInput / 1M tokensOutput / 1M tokensvs deepseek-v4-pro
ai21.jamba-1-5-large-v1:0AWS Bedrock$2.00$8.00+15%
gpt-3.5-turboAzure$1.50$2.00-14%
gpt-35-turboAzure$1.50$2.00-14%

Alternatives to deepseek-v4-pro

Similar chat models from other providers

AWS Bedrock
ai21.jamba-1-5-large-v1:0
$2.00/1M input
+15% vs deepseek-v4-pro
Azure
gpt-3.5-turbo
$1.50/1M input
-14% vs deepseek-v4-pro
Azure
gpt-35-turbo
$1.50/1M input
-14% vs deepseek-v4-pro
Azure
gpt-4.1
$2.00/1M input
+15% vs deepseek-v4-pro
Azure
gpt-4.1-2025-04-14
$2.00/1M input
+15% vs deepseek-v4-pro

Frequently Asked Questions

Is deepseek-v4-pro cheaper than ai21.jamba-1-5-large-v1:0?

Yes. deepseek-v4-pro costs $1.74 per 1M input tokens compared to ai21.jamba-1-5-large-v1:0's $2.00 per 1M input tokens, making it 15% more affordable. Both are chat models.

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

deepseek-v4-pro input pricing is $1.74 per 1M tokens, which is 216% above the median of $0.55 for chat models. It ranks 1705 out of 2292 chat models by input cost, making it cheaper than 26% of models in this category. For output, it costs $3.48 per 1M tokens compared to the median of $1.50.

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

Among Opencode's 48 chat models, deepseek-v4-pro ranks 28 by input cost.

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

The most comparable chat models to deepseek-v4-pro are: ai21.jamba-1-5-large-v1:0 from AWS Bedrock ($2.00/1M input tokens); gpt-3.5-turbo from Azure ($1.50/1M input tokens); gpt-35-turbo from Azure ($1.50/1M input tokens); gpt-4.1 from Azure ($2.00/1M 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 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 $1.74 and generating 1M output tokens costs $3.48.