GPT-5.6 Luna Pro
gpt-5.6-luna-proGPT-5.6 Luna Pro is the same underlying model as [GPT-5.6 Luna](https://.ai/openai/gpt-5.6-luna), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode Built by OpenAI.
Prices updated
Input price
$0.20
per 1M tokens · Standard
Output price
$1.20
per 1M tokens · Standard
Input limit
1.1M
tokens
Output limit
128K
tokens
Input formats
Output formats
GPT-5.6 Luna Pro price history
2 price records since 9/25/2026
GPT-5.6 Luna Pro cost calculator
$10/month
Standard pricing
Overview
What is GPT-5.6 Luna Pro?
GPT-5.6 Luna Pro is a text & reasoning and vision model from OpenAI. GPT-5.6 Luna Pro is the same underlying model as [GPT-5.6 Luna](https://.ai/openai/gpt-5.6-luna), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode Its 1.1M context window and $0.20 input price make it a candidate for cost-sensitive, high-throughput applications.
Rates
GPT-5.6 Luna Pro pricing
Pricing is based on token usage. Provider-specific caching, batch, regional, and tool charges may affect the final cost.
Input · Standard
$0.20
Per 1M tokens
Cached input · Standard
$0.02
Per 1M tokens
Capabilities
GPT-5.6 Luna Pro Tools
Tools available when using GPT-5.6 Luna Pro through supported provider APIs.
Function calling
Supported
Structured outputs
Supported
JSON mode
Supported
Reasoning
Supported
Built-in web search
Not supported
Log probabilities
Not supported
Deterministic seed
Supported
Parallel tool calls
Not supported
Prompt caching
Supported
Strengths and limitations
Strengths
- Low input cost at $0.20 per million tokens suits high-volume workloads.
- 1.1M context supports large documents, repositories and extended conversations.
- Supports text & reasoning and vision workloads in one model.
Limitations
- Generated tokens cost 6× more than input tokens, which matters for verbose responses.
- Large context capacity does not guarantee consistent retrieval across the entire prompt.
- Arena Elo and MMLU-Pro are directional; test accuracy, latency and reliability on your own workload before committing.
Arena Elo, MMLU-Pro and pricing figures are illustrative; validate current vendor terms before purchase.
Same provider