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deepseek-v3.2 Cost Calculator - OpenRouter

Calculate the cost of using deepseek-v3.2 from OpenRouter for your AI applications

Pricing data last updated:

deepseek-v3.2 Cost Calculator

Mode: Chat

Max: 163,840 tokens

Max: 65,536 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
Reasoning

Limits

Max Input Tokens163,840
Max Output Tokens65,536
Max Tokens65,536

About deepseek-v3.2

deepseek-v3.2 is a chat model from OpenRouter, one of 358 chat models they offer. It is priced at $0.27 per 1M input tokens and $0.40 per 1M output tokens, ranking 946 out of 2688 chat models by cost and cheaper than 65% of models in this category. deepseek-v3.2 supports function calling, reasoning, prompt caching, 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 Output Tokens65,536
Maximum Total Tokens65,536

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 65,536 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-v3.2 Pricing Compares

At $0.27 per 1M input tokens and $0.40 per 1M output tokens, deepseek-v3.2 ranks 946 out of 2688 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 358 OpenRouter chat models, with support for function calling, reasoning, prompt caching, 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
Azure
gpt-5-mini-2025-08-07
$0.28/1M input
+2% 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 946 out of 2688 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 OpenRouter models?

Among OpenRouter's 358 chat models, deepseek-v3.2 ranks 130 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 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-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.