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DeepSeek-V3.2 Cost Calculator - Hugging Face

Calculate the cost of using DeepSeek-V3.2 from Hugging Face for your AI applications

Pricing data last updated:

DeepSeek-V3.2 Cost Calculator

Mode: Chat

Max: 163,840 tokens

Cost Breakdown

Input Cost$0.00026900
Output Cost$0.00040000
Total Cost$0.00066900

Pricing Details

Input: $0.0000002690 per token
Output: $0.0000004000 per token
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Model Specifications

Capabilities

Function Calling

Limits

Max Input Tokens163,840
Max Tokens163,840

About DeepSeek-V3.2

DeepSeek-V3.2 is a chat model from Hugging Face, one of 182 chat models they offer. It is priced at $0.27 per 1M input tokens and $0.40 per 1M output tokens, ranking 932 out of 2628 chat models by cost and cheaper than 65% of models in this category. DeepSeek-V3.2 supports function calling, structured output. Its 164K-token context window is in the top 46% among chat models.

Pricing Information

Input Cost$0.27 per 1M tokens
Output Cost$0.40 per 1M tokens

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

Technical Specifications

Maximum Input Tokens163,840
Maximum Total Tokens163,840

Pro Tip

Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 163,840 input tokens.

Model Capabilities

Function Calling - Execute custom functions and tools
Response Schema - Structured output formatting

How DeepSeek-V3.2 Pricing Compares

At $0.27 per 1M input tokens and $0.40 per 1M output tokens, DeepSeek-V3.2 ranks 932 out of 2628 chat models by input cost. It is more affordable compared to the median of $0.50 for chat models, and is cheaper than 65% of models in this category.

DeepSeek-V3.2 is one of 182 Hugging Face chat models, with support for function calling, structured output. its 164K-token context window places it in the top 46% of chat models.

ModelProviderInput / 1M tokensOutput / 1M tokensvs DeepSeek-V3.2
amazon.nova-2-lite-v1:0AWS Bedrock$0.30$2.50+12%
apac.amazon.nova-2-lite-v1:0AWS Bedrock$0.33$2.75+23%
eu.amazon.nova-2-lite-v1:0AWS Bedrock$0.33$2.75+23%

Alternatives to DeepSeek-V3.2

Similar chat models from other providers

AWS Bedrock
amazon.nova-2-lite-v1:0
$0.30/1M input
+12% vs DeepSeek-V3.2
AWS Bedrock
apac.amazon.nova-2-lite-v1:0
$0.33/1M input
+23% vs DeepSeek-V3.2
AWS Bedrock
eu.amazon.nova-2-lite-v1:0
$0.33/1M input
+23% vs DeepSeek-V3.2
AWS Bedrock
us.amazon.nova-2-lite-v1:0
$0.33/1M input
+23% vs DeepSeek-V3.2
AWS Bedrock
anthropic.claude-3-haiku-20240307-v1:0
$0.25/1M input
-7% vs DeepSeek-V3.2

Frequently Asked Questions

Is DeepSeek-V3.2 cheaper than amazon.nova-2-lite-v1:0?

Yes. DeepSeek-V3.2 costs $0.27 per 1M input tokens compared to amazon.nova-2-lite-v1:0's $0.30 per 1M input tokens, making it 12% more affordable. Both are chat models and share support for vision, function calling, reasoning, prompt caching, structured output.

How does DeepSeek-V3.2 pricing compare to the average chat model?

DeepSeek-V3.2 input pricing is $0.27 per 1M tokens, which is 46% below the median of $0.50 for chat models. It ranks 932 out of 2628 chat models by input cost, making it cheaper than 65% of models in this category. For output, it costs $0.40 per 1M tokens compared to the median of $1.44.

What makes DeepSeek-V3.2 different from other Hugging Face models?

Among Hugging Face's 182 chat models, DeepSeek-V3.2 ranks 88 by input cost.

What are the best alternatives to DeepSeek-V3.2?

The most comparable chat models to DeepSeek-V3.2 are: amazon.nova-2-lite-v1:0 from AWS Bedrock ($0.30/1M input tokens); apac.amazon.nova-2-lite-v1:0 from AWS Bedrock ($0.33/1M input tokens); eu.amazon.nova-2-lite-v1:0 from AWS Bedrock ($0.33/1M input tokens); us.amazon.nova-2-lite-v1:0 from AWS Bedrock ($0.33/1M 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 check if Hugging Face is down?

You can monitor Hugging Face service health in real time on the Bifrost Hugging Face 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-V3.2 costs?

DeepSeek-V3.2 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 $0.27 and generating 1M output tokens costs $0.40.