Calculate the cost of using gpt-6-luna from Github Copilot for your AI applications
Pricing data last updated:
Mode: Responses
Max: 272,000 tokens
Max: 128,000 tokens
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gpt-6-luna is a responses model from Github Copilot, one of 12 responses models they offer. It is priced at $0.10 per 1M input tokens and $0.50 per 1M output tokens, ranking 3 out of 160 responses models by cost and cheaper than 97% of models in this category. gpt-6-luna supports vision, function calling, reasoning, structured output. It accepts up to 272K input tokens.
Note: Use the interactive calculator above to estimate costs for your specific usage patterns.
Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 272,000 input tokens. The maximum output length is 128,000 tokens.
At $0.10 per 1M input tokens and $0.50 per 1M output tokens, gpt-6-luna ranks 3 out of 160 responses models by input cost. It is more affordable compared to the median of $2.00 for responses models, and is cheaper than 97% of models in this category.
gpt-6-luna is one of 12 Github Copilot responses models, with support for vision, function calling, reasoning, structured output.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs gpt-6-luna |
|---|---|---|---|---|
| claude-haiku-5-5 | Perplexity | $0.10 | $0.50 | 0% |
| deepseek-v4-flash-0731 | Perplexity | $0.13 | $0.26 | +30% |
| codex-mini | Azure | $1.50 | $6.00 | +1400% |
Similar responses models from other providers
No. gpt-6-luna costs $0.10 per 1M input tokens while claude-haiku-5-5 costs $0.10 per 1M input tokens, making claude-haiku-5-5 0% more affordable for input. However, gpt-6-luna may offer different capabilities or performance characteristics that justify the price difference.
gpt-6-luna input pricing is $0.10 per 1M tokens, which is 95% below the median of $2.00 for responses models. It ranks 3 out of 160 responses models by input cost, making it cheaper than 97% of models in this category. For output, it costs $0.50 per 1M tokens compared to the median of $11.00.
Among Github Copilot's 12 responses models, gpt-6-luna ranks 1 by input cost. It is the most affordable Github Copilot model with vision and structured output support.
The most comparable responses models to gpt-6-luna are: claude-haiku-5-5 from Perplexity ($0.10/1M input tokens); deepseek-v4-flash-0731 from Perplexity ($0.13/1M input tokens); codex-mini from Azure ($1.50/1M input tokens); gpt-5.1-codex from Azure ($1.38/1M 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.
Yes. At $0.10 per 1M input tokens, gpt-6-luna is the most affordable responses model that supports vision. This makes it a strong option for vision-dependent workloads where cost efficiency matters.
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.