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Artificial Intelligence

OpenAI unveils cheaper GPT-6 Sol and Luna

OpenAI launched GPT-6 Sol and GPT-6 Luna, said they used methods similar to Astra, and priced them at roughly half the cost of earlier versions while widening availability across its products.

The Deep View

On Tuesday, OpenAI introduced GPT-6 Sol and GPT-6 Luna. The company said both models had been trained using methods similar to Astra and were intended to improve factuality, coding, computer use and alignment.

OpenAI set GPT-6 Sol’s price at $2 per million input tokens and $10 per million output tokens. GPT-6 Luna was priced at 10 cents per million input tokens and 50 cents per million output tokens, which the article said was about half the cost of the prior versions.

OpenAI said GPT-6 Sol beat earlier OpenAI models and Anthropic’s Claude Opus 5 on several tests, including AutomationBench, Agents’ Last Exam and DeepSWE v1.1. It also said the two models used Astra’s clearer style, with shorter answers and fewer filler details, and that their alignment had improved through lower rates of warning circumvention, coding deception and unauthorised agent use.

The models were available in ChatGPT Work and Codex for Plus, Pro, Business and Enterprise users. Free and Go users could use GPT-6 Luna in the desktop app, and the models were not yet available in traditional chat.

Named in this story

Companies

OpenAI
released the new models and set their pricing
Anthropic
rival company named in the benchmark comparisons

Products and systems

GPT-6 Sol
new model priced at $2 and $10 per million tokens
GPT-6 Luna
new model priced at 10 cents and 50 cents per million tokens
Astra
earlier model whose training methods were cited as a basis
Claude Opus 5
Anthropic model used in OpenAI’s benchmark comparisons
5.6 Sol
previous generation used for the pricing comparison
ChatGPT Work
one of the products where the models were made available
Codex
another product where the models were made available

How the source tells it

The article read like a product launch, with OpenAI’s own claims and rival comparisons carrying the narrative.

  • vendor boosterism the launch was built around OpenAI’s own capability and pricing claims
  • competitive framing rival comparisons were used to measure the new models against Anthropic and earlier OpenAI versions