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gpt-5.6-luna Cost Calculator - Azure

Calculate the cost of using gpt-5.6-luna from Azure for your AI applications

Pricing data last updated:

gpt-5.6-luna Cost Calculator

Mode: Chat

Max: 1,050,000 tokens

Max: 128,000 tokens

Cost Breakdown

Input Cost$0.00020000
Output Cost$0.001200
Total Cost$0.001400

Pricing Details

Input: $0.0000002000 per token
Output: $0.00000120 per token
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Model Specifications

Capabilities

Function Calling
Vision
Reasoning
Web Search

Limits

Max Input Tokens1,050,000
Max Output Tokens128,000
Max Tokens128,000

About gpt-5.6-luna

gpt-5.6-luna is a chat model from Azure, one of 202 chat models they offer. It is priced at $0.20 per 1M input tokens and $1.20 per 1M output tokens, ranking 670 out of 2788 chat models by cost and cheaper than 70% of models in this category. gpt-5.6-luna supports vision, function calling, reasoning, web search, prompt caching, structured output. Its 1,050K-token context window is in the top 3% among chat models.

Pricing Information

Input Cost$0.20 per 1M tokens
Output Cost$1.20 per 1M tokens

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

Technical Specifications

Maximum Input Tokens1,050,000
Maximum Output Tokens128,000
Maximum Total Tokens128,000

Pro Tip

Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 1,050,000 input tokens. The maximum output length is 128,000 tokens.

Model Capabilities

Function Calling - Execute custom functions and tools
Vision - Process and understand images
Advanced Reasoning - Complex problem-solving capabilities
Web Search - Access real-time web information
Prompt Caching - Optimize repeated prompts
System Messages - Configure model behavior
Parallel Function Calling - Execute multiple functions simultaneously
Response Schema - Structured output formatting

How gpt-5.6-luna Pricing Compares

At $0.20 per 1M input tokens and $1.20 per 1M output tokens, gpt-5.6-luna ranks 670 out of 2788 chat models by input cost. It is more affordable compared to the median of $0.55 for chat models, and is cheaper than 70% of models in this category.

gpt-5.6-luna is one of 202 Azure chat models, with support for vision, function calling, reasoning, web search, prompt caching, structured output. its 1,050K-token context window places it in the top 3% of chat models.

ModelProviderInput / 1M tokensOutput / 1M tokensvs gpt-5.6-luna
gemini-flash-lite-latestGoogle Gemini$0.25$1.50+25%
gemini-3.1-flash-lite-previewGoogle Gemini$0.25$1.50+25%
gemini-3.1-flash-liteGoogle Gemini$0.25$1.50+25%

Alternatives to gpt-5.6-luna

Similar chat models from other providers

Google Gemini
gemini-flash-lite-latest
$0.25/1M input
+25% vs gpt-5.6-luna
Google Gemini
gemini-3.1-flash-lite-preview
$0.25/1M input
+25% vs gpt-5.6-luna
Google Gemini
gemini-3.1-flash-lite
$0.25/1M input
+25% vs gpt-5.6-luna
OpenAI
gpt-5.6-luna
$0.20/1M input
0% vs gpt-5.6-luna
OpenAI
gpt-5.4-nano
$0.20/1M input
0% vs gpt-5.6-luna

Frequently Asked Questions

Is gpt-5.6-luna cheaper than gemini-flash-lite-latest?

Yes. gpt-5.6-luna costs $0.20 per 1M input tokens compared to gemini-flash-lite-latest's $0.25 per 1M input tokens, making it 25% more affordable. Both are chat models and share support for vision, function calling, reasoning, web search, prompt caching, structured output.

How does gpt-5.6-luna pricing compare to the average chat model?

gpt-5.6-luna input pricing is $0.20 per 1M tokens, which is 63% below the median of $0.55 for chat models. It ranks 670 out of 2788 chat models by input cost, making it cheaper than 70% of models in this category. For output, it costs $1.20 per 1M tokens compared to the median of $1.50.

What makes gpt-5.6-luna different from other Azure models?

Among Azure's 202 chat models, gpt-5.6-luna ranks 37 by input cost.

What are the best alternatives to gpt-5.6-luna?

The most comparable chat models to gpt-5.6-luna are: gemini-flash-lite-latest from Google Gemini ($0.25/1M input tokens); gemini-3.1-flash-lite-preview from Google Gemini ($0.25/1M input tokens); gemini-3.1-flash-lite from Google Gemini ($0.25/1M input tokens); gpt-5.6-luna from OpenAI ($0.20/1M 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 large is gpt-5.6-luna's context window?

gpt-5.6-luna supports up to 1,050,000 input tokens, placing it in the top 3% of chat models by context window size (rank 31 of 2599). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.

How do I check if Azure AI is down?

You can monitor Azure AI service health in real time on the Bifrost Azure AI 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 gpt-5.6-luna costs?

gpt-5.6-luna 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 $0.20 and generating 1M output tokens costs $1.20.