GPT-5.6 Luna

OpenAI released GPT-5.6 Luna, a proprietary AI model with a general score of 82 and a price of $0.20 per million input tokens, making it the cheapest option among providers. The model does not embed watermarks or provenance metadata in generated output, and pricing data is refreshed via OpenRouter.

GPT-5.6 Luna consumerAI-generated content marks The provider reports that this model does not add embedded watermarks or provenance metadata to generated output. - 1050k - proprietary - Aug 2026 Scores Score per dollar 410 pts per $/M input general score 82 divided by cheapest input price $0.20/M . Higher is better value. See live pricing /models/gpt-5-6-luna/pricing . Or run it in the cloud Live per-provider pricing, throughput and uptime - refreshed 40 minutes ago via OpenRouter. Click a column to sort. | Provider | Type | Input $/M | Output $/M | Cache $/M | Tok/s | Latency | Uptime | Value | |---|---|---|---|---|---|---|---|---| | API | 0.20 | 1.20 | - | - | - | - | cheapest | Default order: throughput among 95%+ uptime providers, then latency; subscriptions last. Sort by any column. Subscription rows show $/mo in the Value column - per-token columns are "-". Affiliate links are marked sponsored / nofollow. Confirm current pricing on the provider's site before committing. Detailed API pricing page + JSON endpoint → /models/gpt-5-6-luna/pricing Inference cost over time Data accumulates from the first daily sync - longer ranges populate over time. Prices come from OpenRouter snapshots, not a historical API.