---
title: "gpt-5.6-luna - Model Details & Comparison"
description: "gpt-5.6-luna from Perplexity: capabilities, context limits, pricing, and side-by-side comparisons with alternative models."
url: "https://www.getmaxim.ai/bifrost/model-library/compare/perplexity/gpt-5.6-luna"
markdown: "https://www.getmaxim.ai/bifrost/model-library/compare/perplexity/gpt-5.6-luna.md"
---

# gpt-5.6-luna - Model Details & Comparison

> gpt-5.6-luna from Perplexity: capabilities, context limits, pricing, and side-by-side comparisons with alternative models.

## Important Links

- [View MCP Gateway](https://www.getmaxim.ai/bifrost/resources/mcp-gateway.md)
- [Features](https://www.getmaxim.ai/bifrost/#features)
- [Enterprise](https://www.getmaxim.ai/enterprise)
- [Pricing](https://www.getmaxim.ai/pricing)
- [Docs](https://docs.getbifrost.ai)
- [GitHub](https://github.com/maximhq/bifrost)
- [Book a Demo](https://www.getmaxim.ai/book-a-demo)

## About gpt-5.6-luna

gpt-5.6-luna is a responses model from Perplexity, one of 42 responses models they offer. It is priced at $0.20 per 1M input tokens and $1.20 per 1M output tokens, ranking 4 out of 115 responses models by cost and cheaper than 96% of models in this category. gpt-5.6-luna supports function calling, web search.

## Specifications

- **Perplexity Provider.**
- **Responses Mode.**
- **$0.20 / 1M tokens Input Price.**
- **$1.20 / 1M tokens Output Price.**

## Capabilities

gpt-5.6-luna supports: Function Calling, Web Search.

## gpt-5.6-luna Pricing Overview

At $0.20 per 1M input tokens and $1.20 per 1M output tokens, gpt-5.6-luna ranks 4 out of 115 responses models by input cost. It is more affordable compared to the median of $2.00 for responses models, and is cheaper than 96% of models in this category.

gpt-5.6-luna is one of 42 Perplexity responses models, with support for function calling, web search.

## Models to Compare

Alternatives to gpt-5.6-luna with comparable capabilities.

| Model | Provider | Input $/1M | Output $/1M |
| --- | --- | --- | --- |
| gpt-5.1-codex-mini | OpenAI | $0.25 | $2.00 |
| openai.gpt-5.6-luna | Bedrock Mantle | $0.22 | $1.32 |
| gpt-5.1-codex-mini | Azure | $0.25 | $2.00 |
| gpt-5.1-codex-mini-2025-11-13 | Azure | $0.25 | $2.00 |
| gpt-5.4-pro | Azure | $30.00 | $180.00 |

- [Compare gpt-5.1-codex-mini](https://www.getmaxim.ai/bifrost/model-library/compare/openai/gpt-5.1-codex-mini.md)
- [Compare openai.gpt-5.6-luna](https://www.getmaxim.ai/bifrost/model-library/compare/bedrock_mantle/openai.gpt-5.6-luna.md)
- [Compare gpt-5.1-codex-mini](https://www.getmaxim.ai/bifrost/model-library/compare/azure/gpt-5.1-codex-mini.md)
- [Compare gpt-5.1-codex-mini-2025-11-13](https://www.getmaxim.ai/bifrost/model-library/compare/azure/gpt-5.1-codex-mini-2025-11-13.md)
- [Compare gpt-5.4-pro](https://www.getmaxim.ai/bifrost/model-library/compare/azure/gpt-5.4-pro.md)

## Related Resources

- [Calculate gpt-5.6-luna costs](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/perplexity/model/gpt-5.6-luna.md)
- [Check Perplexity status](https://www.getmaxim.ai/bifrost/provider-status/perplexity.md)
- [All Perplexity pricing](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/perplexity.md)

## FAQ

### Is gpt-5.6-luna cheaper than gpt-5.1-codex-mini?

Yes. gpt-5.6-luna costs $0.20 per 1M input tokens compared to gpt-5.1-codex-mini's $0.25 per 1M input tokens, making it 25% more affordable. Both are responses 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 responses model?

gpt-5.6-luna input pricing is $0.20 per 1M tokens, which is 90% below the median of $2.00 for responses models. It ranks 4 out of 115 responses models by input cost, making it cheaper than 96% of models in this category. For output, it costs $1.20 per 1M tokens compared to the median of $13.20.

### What makes gpt-5.6-luna different from other Perplexity models?

Among Perplexity's 42 responses models, gpt-5.6-luna ranks 4 by input cost.

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

The most comparable responses models to gpt-5.6-luna are: gpt-5.1-codex-mini from OpenAI ($0.25/1M input tokens); openai.gpt-5.6-luna from Bedrock Mantle ($0.22/1M input tokens); gpt-5.1-codex-mini from Azure ($0.25/1M input tokens); gpt-5.1-codex-mini-2025-11-13 from Azure ($0.25/1M 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 check if Perplexity is down?

You can monitor Perplexity service health in real time on the Bifrost Perplexity 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.

## Related Resources

- [Perplexity models](https://www.getmaxim.ai/bifrost/model-library/provider/perplexity.md)
- [Model library](https://www.getmaxim.ai/bifrost/model-library.md)
- [LLM cost calculator](https://www.getmaxim.ai/bifrost/llm-cost-calculator.md)
- [Docs: Bifrost docs](https://docs.getbifrost.ai)
- [GitHub: maximhq/bifrost](https://github.com/maximhq/bifrost)
- [Pricing: Bifrost pricing](https://www.getmaxim.ai/pricing)
- [Enterprise: Bifrost enterprise](https://www.getmaxim.ai/enterprise)
- [Book a Demo: Bifrost demo](https://www.getmaxim.ai/book-a-demo)
- [Resources: Bifrost resources](https://www.getmaxim.ai/bifrost/resources.md)

---

*This is a markdown version of [https://www.getmaxim.ai/bifrost/model-library/compare/perplexity/gpt-5.6-luna](https://www.getmaxim.ai/bifrost/model-library/compare/perplexity/gpt-5.6-luna) for AI/LLM consumption.*
