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

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

Pricing data last updated:

openai.gpt-6-luna Cost Calculator

Mode: Chat

Max: 1,050,000 tokens

Max: 131,072 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 Tokens131,072
Max Tokens128,000

About openai.gpt-6-luna

openai.gpt-6-luna is a chat model from AWS Bedrock, one of 460 chat models they offer. It is priced at $0.10 per 1M input tokens and $0.50 per 1M output tokens, ranking 542 out of 3778 chat models by cost and cheaper than 86% of models in this category. 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 Tokens131,072
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 131,072 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 openai.gpt-6-luna Pricing Compares

At $0.10 per 1M input tokens and $0.50 per 1M output tokens, openai.gpt-6-luna ranks 542 out of 3778 chat models by input cost. It is more affordable compared to the median of $0.60 for chat models, and is cheaper than 86% of models in this category.

openai.gpt-6-luna is one of 460 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 openai.gpt-6-luna
gpt-6-lunaAzure$0.10$0.500%
gpt-6-luna-2026-09-22Azure$0.10$0.500%
gemini-2.5-flash-liteVertex AI$0.10$0.400%

Alternatives to openai.gpt-6-luna

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Vertex AI
gemini-2.5-flash-lite
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Google Gemini
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Frequently Asked Questions

Is openai.gpt-6-luna cheaper than gpt-6-luna?

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

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

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 542 out of 3778 chat models by input cost, making it cheaper than 86% of models in this category. For output, it costs $0.50 per 1M tokens compared to the median of $1.75.

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

Among AWS Bedrock's 460 chat models, openai.gpt-6-luna ranks 34 by input cost.

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

The most comparable chat models to openai.gpt-6-luna are: gpt-6-luna from Azure ($0.10/1M input tokens); gpt-6-luna-2026-09-22 from Azure ($0.10/1M input tokens); 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). 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 openai.gpt-6-luna's context window?

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 109 of 3499). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.

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

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.