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deepseek-v4-flash-thinking Cost Calculator - Libertai

Calculate the cost of using deepseek-v4-flash-thinking from Libertai for your AI applications

Pricing data last updated:

deepseek-v4-flash-thinking Cost Calculator

Mode: Chat

Max: 200,000 tokens

Max: 200,000 tokens

Cost Breakdown

Input Cost$0.00025000
Output Cost$0.001750
Total Cost$0.002000

Pricing Details

Input: $0.0000002500 per token
Output: $0.00000175 per token
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Model Specifications

Capabilities

Function Calling
Reasoning

Limits

Max Input Tokens200,000
Max Output Tokens200,000
Max Tokens200,000

About deepseek-v4-flash-thinking

deepseek-v4-flash-thinking is a chat model from Libertai, one of 11 chat models they offer. It is priced at $0.25 per 1M input tokens and $1.75 per 1M output tokens, ranking 796 out of 2292 chat models by cost and cheaper than 65% of models in this category. deepseek-v4-flash-thinking supports function calling, reasoning. Its 200K-token context window is in the top 39% among chat models.

Pricing Information

Input Cost$0.25 per 1M tokens
Output Cost$1.75 per 1M tokens

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

Technical Specifications

Maximum Input Tokens200,000
Maximum Output Tokens200,000
Maximum Total Tokens200,000

Pro Tip

Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 200,000 input tokens. The maximum output length is 200,000 tokens.

Model Capabilities

Function Calling - Execute custom functions and tools
Advanced Reasoning - Complex problem-solving capabilities
System Messages - Configure model behavior

How deepseek-v4-flash-thinking Pricing Compares

At $0.25 per 1M input tokens and $1.75 per 1M output tokens, deepseek-v4-flash-thinking ranks 796 out of 2292 chat models by input cost. It is more affordable compared to the median of $0.55 for chat models, and is cheaper than 65% of models in this category.

deepseek-v4-flash-thinking is one of 11 Libertai chat models, with support for function calling, reasoning. its 200K-token context window places it in the top 39% of chat models.

ModelProviderInput / 1M tokensOutput / 1M tokensvs deepseek-v4-flash-thinking
amazon.nova-2-lite-v1:0AWS Bedrock$0.30$2.50+20%
gpt-5.4-nanoAzure$0.20$1.25-20%
gpt-5.4-nano-2026-03-17Azure$0.20$1.25-20%

Alternatives to deepseek-v4-flash-thinking

Similar chat models from other providers

AWS Bedrock
amazon.nova-2-lite-v1:0
$0.30/1M input
+20% vs deepseek-v4-flash-thinking
Azure
gpt-5.4-nano
$0.20/1M input
-20% vs deepseek-v4-flash-thinking
Azure
gpt-5.4-nano-2026-03-17
$0.20/1M input
-20% vs deepseek-v4-flash-thinking
Azure
gpt-5-mini-2025-08-07
$0.28/1M input
+10% vs deepseek-v4-flash-thinking
Azure
gpt-5-mini
$0.25/1M input
0% vs deepseek-v4-flash-thinking

Frequently Asked Questions

Is deepseek-v4-flash-thinking cheaper than amazon.nova-2-lite-v1:0?

Yes. deepseek-v4-flash-thinking costs $0.25 per 1M input tokens compared to amazon.nova-2-lite-v1:0's $0.30 per 1M input tokens, making it 20% more affordable. Both are chat models and share support for vision, function calling, reasoning, prompt caching, structured output.

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

deepseek-v4-flash-thinking input pricing is $0.25 per 1M tokens, which is 55% below the median of $0.55 for chat models. It ranks 796 out of 2292 chat models by input cost, making it cheaper than 65% of models in this category. For output, it costs $1.75 per 1M tokens compared to the median of $1.50.

What makes deepseek-v4-flash-thinking different from other Libertai models?

Among Libertai's 11 chat models, deepseek-v4-flash-thinking ranks 11 by input cost.

What are the best alternatives to deepseek-v4-flash-thinking?

The most comparable chat models to deepseek-v4-flash-thinking are: amazon.nova-2-lite-v1:0 from AWS Bedrock ($0.30/1M input tokens); gpt-5.4-nano from Azure ($0.20/1M input tokens); gpt-5.4-nano-2026-03-17 from Azure ($0.20/1M input tokens); gpt-5-mini-2025-08-07 from Azure ($0.28/1M 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-flash-thinking costs?

deepseek-v4-flash-thinking 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 $0.25 and generating 1M output tokens costs $1.75.