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global.openai.gpt-6-luna Cost Calculator - AWS Bedrock

Calculate the cost of using global.openai.gpt-6-luna from AWS Bedrock for your AI applications

Pricing data last updated:

global.openai.gpt-6-luna Cost Calculator

Mode: Chat

Max: 1,050,000 tokens

Max: 128,000 tokens

Cost Breakdown

Input Cost$0.00010000
Output Cost$0.00050000
Total Cost$0.00060000

Pricing Details

Input: $0.0000001000 per token
Output: $0.0000005000 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 global.openai.gpt-6-luna

global.openai.gpt-6-luna is a chat model from AWS Bedrock, one of 399 chat models they offer. It is priced at $0.10 per 1M input tokens and $0.50 per 1M output tokens, ranking 499 out of 3501 chat models by cost and cheaper than 85% of models in this category. global.openai.gpt-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$0.10 per 1M tokens
Output Cost$0.50 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 global.openai.gpt-6-luna Pricing Compares

At $0.10 per 1M input tokens and $0.50 per 1M output tokens, global.openai.gpt-6-luna ranks 499 out of 3501 chat models by input cost. It is more affordable compared to the median of $0.60 for chat models, and is cheaper than 85% of models in this category.

global.openai.gpt-6-luna is one of 399 AWS Bedrock 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 global.openai.gpt-6-luna
gemini-2.5-flash-liteVertex AI$0.10$0.400%
gemini-2.5-flash-lite-preview-09-2025Vertex AI$0.10$0.400%
gemini-2.5-flash-liteGoogle Gemini$0.10$0.400%

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Frequently Asked Questions

Is global.openai.gpt-6-luna cheaper than gemini-2.5-flash-lite?

No. global.openai.gpt-6-luna costs $0.10 per 1M input tokens while gemini-2.5-flash-lite costs $0.10 per 1M input tokens, making gemini-2.5-flash-lite 0% more affordable for input. However, global.openai.gpt-6-luna may offer different capabilities or performance characteristics that justify the price difference.

How does global.openai.gpt-6-luna pricing compare to the average chat model?

global.openai.gpt-6-luna input pricing is $0.10 per 1M tokens, which is 83% below the median of $0.60 for chat models. It ranks 499 out of 3501 chat models by input cost, making it cheaper than 85% of models in this category. For output, it costs $0.50 per 1M tokens compared to the median of $1.71.

What makes global.openai.gpt-6-luna different from other AWS Bedrock models?

Among AWS Bedrock's 399 chat models, global.openai.gpt-6-luna ranks 32 by input cost.

What are the best alternatives to global.openai.gpt-6-luna?

The most comparable chat models to global.openai.gpt-6-luna are: gemini-2.5-flash-lite from Vertex AI ($0.10/1M input tokens); gemini-2.5-flash-lite-preview-09-2025 from Vertex AI ($0.10/1M input tokens); gemini-2.5-flash-lite from Google Gemini ($0.10/1M input tokens); gpt-6-luna from OpenAI ($0.10/1M 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 global.openai.gpt-6-luna's context window?

global.openai.gpt-6-luna supports up to 1,050,000 input tokens, placing it in the top 3% of chat models by context window size (rank 89 of 3230). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.

How do I calculate global.openai.gpt-6-luna costs?

global.openai.gpt-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 $0.10 and generating 1M output tokens costs $0.50.