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deepseek.v3.2 Cost Calculator - AWS Bedrock

Calculate the cost of using deepseek.v3.2 from AWS Bedrock for your AI applications

Pricing data last updated:

deepseek.v3.2 Cost Calculator

Mode: Chat

Max: 163,840 tokens

Max: 163,840 tokens

Cost Breakdown

Input Cost$0.00074000
Output Cost$0.002220
Total Cost$0.002960

Pricing Details

Input: $0.0000007400 per token
Output: $0.00000222 per token
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Model Specifications

Capabilities

Function Calling
Reasoning

Limits

Max Input Tokens163,840
Max Output Tokens163,840
Max Tokens163,840

About deepseek.v3.2

deepseek.v3.2 is a chat model from AWS Bedrock, one of 324 chat models they offer. It is priced at $0.74 per 1M input tokens and $2.22 per 1M output tokens, ranking 1390 out of 2459 chat models by cost and cheaper than 43% of models in this category. deepseek.v3.2 supports function calling, reasoning. Its 164K-token context window is in the top 44% among chat models.

Pricing Information

Input Cost$0.74 per 1M tokens
Output Cost$2.22 per 1M tokens

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

Technical Specifications

Maximum Input Tokens163,840
Maximum Output 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. The maximum output length is 163,840 tokens.

Model Capabilities

Function Calling - Execute custom functions and tools
Advanced Reasoning - Complex problem-solving capabilities

How deepseek.v3.2 Pricing Compares

At $0.74 per 1M input tokens and $2.22 per 1M output tokens, deepseek.v3.2 ranks 1390 out of 2459 chat models by input cost. It is more expensive compared to the median of $0.60 for chat models, and is cheaper than 43% of models in this category.

deepseek.v3.2 is one of 324 AWS Bedrock chat models, with support for function calling, reasoning. its 164K-token context window places it in the top 44% of chat models.

ModelProviderInput / 1M tokensOutput / 1M tokensvs deepseek.v3.2
gpt-5.4-miniAzure$0.75$4.50+1%
gpt-5.4-mini-2026-03-17Azure$0.75$4.50+1%
kimi-k2.6Azure$0.60$3.00-19%

Alternatives to deepseek.v3.2

Similar chat models from other providers

Azure
gpt-5.4-mini
$0.75/1M input
+1% vs deepseek.v3.2
Azure
kimi-k2.6
$0.60/1M input
-19% vs deepseek.v3.2
Dashscope
qwq-plus
$0.80/1M input
+8% vs deepseek.v3.2
Fireworks AI
glm-4p7
$0.60/1M input
-19% vs deepseek.v3.2

Frequently Asked Questions

Is deepseek.v3.2 cheaper than gpt-5.4-mini?

Yes. deepseek.v3.2 costs $0.74 per 1M input tokens compared to gpt-5.4-mini's $0.75 per 1M input tokens, making it 1% more affordable. Both are chat models and share support for vision, function calling, reasoning, web search, prompt caching, structured output.

How does deepseek.v3.2 pricing compare to the average chat model?

deepseek.v3.2 input pricing is $0.74 per 1M tokens, which is 23% above the median of $0.60 for chat models. It ranks 1390 out of 2459 chat models by input cost, making it cheaper than 43% of models in this category. For output, it costs $2.22 per 1M tokens compared to the median of $1.50.

What makes deepseek.v3.2 different from other AWS Bedrock models?

Among AWS Bedrock's 324 chat models, deepseek.v3.2 ranks 157 by input cost.

What are the best alternatives to deepseek.v3.2?

The most comparable chat models to deepseek.v3.2 are: gpt-5.4-mini from Azure ($0.75/1M input tokens); gpt-5.4-mini-2026-03-17 from Azure ($0.75/1M input tokens); kimi-k2.6 from Azure ($0.60/1M input tokens); qwq-plus from Dashscope ($0.80/1M 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.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 $0.74 and generating 1M output tokens costs $2.22.