OpenAI Expands GPT-6 Lineup with More Economical Sol and Luna Models

OpenAI has broadened its newest model family with two more accessible options designed for everyday professional work. On September 22, 2026, the company released GPT-6 Sol and GPT-6 Luna, placing them beneath the flagship GPT-6 Astra model that arrived earlier in the month.

The company says the pair inherits much of Astra’s progress in reasoning, factual reliability, coding, computer use, and alignment, while being tuned for speed and cost.

OpenAI frames the release as a way to spread frontier-level intelligence across more tasks and budgets rather than reserving it only for the most demanding projects.

A central part of the announcement is pricing.

API rates for both models are 50 percent lower than the promotional prices of their GPT-5.6 counterparts.

GPT-6 Sol now costs $2 per million input tokens and $10 per million output tokens. GPT-6 Luna is priced at $0.10 per million input tokens and $0.50 per million output tokens.

OpenAI attributes the reductions to more efficient caching and inference and says it is passing those savings to customers.

The two models target different workloads.

Sol is positioned for recurring complex work such as coding, debugging, building features, data analysis, and agentic workflows.

Luna is aimed at high-volume, well-defined jobs including document summarization, information extraction, and short-answer questions.

Early user reports, including from Zapier, describe stronger results on automation benchmarks at lower cost, with Sol showing better attention to multi-step tasks than the prior generation.

OpenAI reports that GPT-6 Sol produces roughly half as many factual errors as GPT-5.6 Sol on internal evaluations drawn from real user conversations.

The company also highlights gains on coding and computer-use benchmarks, claiming Sol can match or exceed some higher-priced rival models at a fraction of the cost per task.

Luna, meanwhile, is presented as delivering useful performance at a much lower price point than earlier mid-tier models.

Availability began immediately for most paid users. GPT-6 Sol and GPT-6 Luna are rolling out in ChatGPT Work and Codex for Plus, Pro, Business, Enterprise, and Edu subscribers.

Both models are also live in the API. Free and Go users can try GPT-6 Luna in the desktop app.

Standard ChatGPT chat access was not included at launch and is expected to arrive later.

The timing underscores the current pace of competition. Anthropic released an updated, lower-cost model on the same day.

Industry observers note that both labs continue to ship new systems even as some public discussion has focused on slowing the overall tempo of capability advances.

OpenAI’s message with Sol and Luna is practical: more capable models, lower token prices, and higher usage limits so teams can iterate more freely.Together the releases expand the GPT-6 lineup into a clearer tiered offering.

Astra remains the top choice for the hardest work. Sol sits one step below for substantial professional and coding tasks.

Luna handles volume at the lowest price. For organizations already using previous Sol and Luna versions, OpenAI’s guidance is straightforward: the new models are intended as drop-in upgrades that deliver better output at half the previous promotional cost.



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Reg A - Form 1-A Filings Beta

Beta. Initial Form 1-A only. Target raise is the stated Amount to be Raised, totaled. Compared with the same dates one year earlier.

YTD: Jan 1, 2026 - Oct 18, 2026 vs Jan 1, 2025 - Oct 18, 2025

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Number of Filings129Prior 123 +4.9%
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This YTDYear priorChange
Filings 129 123 +4.9%
Target raise $3.37B $3.45B -2.2%

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