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OpenAI Slashes AI Costs with GPT-6 Duo
22 Sep
Summary
- GPT-6 Sol and Luna models launched at significantly lower prices.
- New models offer improved performance over predecessors.
- Pricing targets enterprise needs for common AI tasks.
OpenAI has launched two new AI models, GPT-6 Sol and GPT-6 Luna, aimed at providing more affordable enterprise solutions. These models are priced at half or less than previous versions via the API, with Luna costing $0.10/$0.50 and Sol at $2/$10 per 1M tokens in/out. Both models offer performance improvements over GPT-5.6 predecessors, though they are positioned below the high-end GPT-6 Astra model.
Sol is geared towards complex, repetitive tasks like coding and data analysis, while Luna is optimized for high-volume jobs such as summarization and straightforward question-answering. OpenAI's strategy focuses on cost per completed task, highlighting Sol's competitive pricing against rivals like Anthropic's Claude Sonnet 5 and Google's Gemini 3.8 Flash, especially for recurring enterprise workflows. The permanent pricing structure for Sol and Luna aims to provide stable economic planning for businesses utilizing AI agents.
Further efficiency gains are noted in factual reliability, with GPT-6 Sol reportedly making fewer mistakes than GPT-5.6 Sol. OpenAI also emphasizes advancements in prompt caching, offering significant discounts on cached input tokens, a feature also adopted by competitors like Anthropic and Google. These cost reductions and performance improvements aim to redefine the economics of AI deployment for businesses.
