OpenAI takes AI price war to next level with GPT-6 Sol, Luna pricing

OpenAI made an aggressive move in the AI price war by cutting the price of its latest GPT-6 Sol and Luna models by 50% to drive enterprise adoption and compete with rival Anthropic.

The AI lab introduced its two latest models on Sept. 22, revealing that it trained GPT-6 Sol and Luna similarly to how it trained GPT-6 Astra, which it released earlier this month. The AI vendor said that GPT-6 Sol can tackle difficult work tasks, while allowing users to iterate with higher usage limits and lower costs. The model is comparable to Anthropic’s Claude Fable 5.1 for coding at a much lower price, according to OpenAI.

The targeted focus on pricing shows how vendors continue to compete on the pricing of their new models, as enterprises continually assess how much they’re spending on AI models.

“Companies are so hyper-focused on the economics of running these models, especially the frontier models, because open source and smaller models are [scaring] these larger frontier models hosting providers,” said Bradley Shimmin, an analyst at Futurum Group.

The pressure from open source

With open source vendors from China providing models that provide comparable performance to frontier models, OpenAI, Anthropic and Google have spent the last few months reducing the prices of their models. GPT-6 Sol and Luna highlight just how aggressively OpenAI is willing to compete with Sol.

The price of GPT-6 Sol is $2 per million input and $10 per million output tokens, which is 50% cheaper than GPT-5.6 Sol. GPT-6 Luna is also half the price of Gpt-5.6 Luna at $0.10 per million input and $0.50 per million output tokens. By comparison, Claude Fable 5.1 costs $10 per million and $50 per million output tokens. Google has also offered promotional pricing on its Gemini 3.8 Flash model till December, with input costing $0.75 and output costing $3.75.

Pricing and IPO

Ineffective benefits

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