GPT-6 Luna Pro: price, context window and capabilities
GPT-6 Luna Pro is a model from OpenAI (openai/gpt-6-luna-pro). It supports reasoning. It supports tool use. It costs $0.100 per million input tokens and $0.500 per million output tokens, with a 1.1M-token context window.
What it costs in practice
Using the listed prices: a chat turn of 2,000 input and 500 output tokens costs about $0.0004, so 10,000 such turns cost about $4.50. Summarising a 100,000-token document into 2,000 tokens costs about $0.011. A long agent run that reads 1 million tokens and writes 50,000 costs about $0.125.
How it compares
Among the 40 models we track, GPT-6 Luna Pro ranks #4 by input price and #7 by output price (1 is cheapest), and #2 by context window (1 is largest). Models with the same tool and reasoning support that cost less per output token: DeepSeek V4 Pro 0423 ($0.418), Qwen3.8 Omni Flash ($0.470), Qwen3.8 Flash ($0.470). Models with a larger context window at the same or lower output price: Llama 4 Scout (1.3M).
More from OpenAI
- GPT-6.1 Sol Pro: $2.00 in / $10.00 out, 1.1M context
- GPT-6.1 Sol: $2.00 in / $10.00 out, 1.1M context
- GPT-6 Luna: $0.100 in / $0.500 out, 1.1M context
Prices and limits come from OpenRouter's public model catalogue, last synced 4 Oct 2026. Provider pricing can differ from OpenRouter's and changes often; confirm on the provider's own page before you commit. See the guide to choosing a model or the full comparison.
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