OPENAI · MODEL RELEASE TRACKER
GPT-6 Luna
GPT-6 Luna is a member of OpenAI's GPT-6 family positioned for high-volume, low-cost, well‑defined tasks (e.g., summarization, extraction, quick Q&A). It was announced in late September 2026 and is offered via API, Amazon Bedrock, ChatGPT (various channels) and the ChatGPT desktop app.CURRENT SNAPSHOT4/5 DIMENSIONS WITH DATA
The dimensions that change the decision.
Not established from the available sources.
RELEASE TIMELINE
Published, source-backed release events only.
Anthropic launches Claude Haiku 5.5 with big price cuts and benchmark gains
Anthropic released Claude Haiku 5.5, a faster, lower‑cost small model aimed at high‑volume tasks; Anthropic says Haiku 5.5 costs ~75% less on average than Haiku 4.5 and up to 90% less for prompts ≤100,000 tokens. The company also halved Sonnet 5.5 cache‑read costs, added monthly API credits for subscribers, updated SDKs with beta computer/browser use, and says Haiku 5.5 outperforms its predecessor (and compares favorably to OpenAI’s GPT‑6 Luna) on several benchmarks and agentic coding tests.
OpenAI rolls out GPT-6 with Intelligent UI in ChatGPT
GPT-6 is rolling out globally inside ChatGPT and introduces an "Intelligent UI" that delivers faster responses along with visuals and interactive experiences you can explore and use directly.
OpenAI reopens $200 Pro plan but halves API credits per dollar
OpenAI is reopening its $200-per-month Pro subscription to new sign-ups while cutting the amount of API credits granted per dollar by half; the previous 5-hour usage cap for subscribers has been removed. Employee Thibault Sottiaux cited recent releases—GPT-6 Sol and GPT-6 Luna, reportedly released this week at half the API price of predecessors—and framed the changes as a shift toward pay‑per‑use pricing.
VERIFIABLE FACTS
Every value stays attached to a source and date.
Announced/launched on September 22, 2026.
Described as suited to clerical, high-volume tasks with clear goals — e.g., summarizing documents, extracting information, and answering quick questions.
Positioned to make focused, repeatable tasks practical at high volume, where small differences in latency and cost multiply across requests.
Reportedly available on Amazon Bedrock (generally available). Also offered in ChatGPT Work and Codex for paid accounts; Luna is available in the ChatGPT desktop app and for Free and Go users; offered via the API as gpt-6-luna, with rollout in the ChatGPT app described as gradual.
At launch, Luna is reported to be available in the ChatGPT desktop app and to Free and Go users; broader ChatGPT availability was described as rolling out gradually.
Provided in the API under the name gpt-6-luna.
Announced at roughly half the token price of the GPT-5.6 Sol/Luna predecessors. Reporting gives Luna's list prices as $0.10 per million input tokens and $0.50 per million output tokens. OpenAI attributes lower API prices to caching and inference improvements; articles also report a broader 50% price cut vs the 5.6 series and additional prompt-caching discounts for GPT-6.
Reportedly priced at about half the token price of the GPT-5.6 Sol and Luna models (≈50% reduction reported).
Positioned for high-volume, well-defined, repeatable tasks — examples given include summarizing documents, extracting information, and answering short questions. Coverage describes Luna as making focused, repeatable tasks practical at high volume where small differences in latency and cost matter.
Reportedly used to run ChatGPT Voice: OpenAI's voice feature runs on GPT-6 Astra, Sol, and Luna and can access plugins like email, calendar, and Slack (i.e., Luna is used for voice interactions in ChatGPT's feature set).
One report states Luna 'improves on its predecessor by 5.4 percentage points while costing 58 percent less' on the evaluations referenced by that coverage; the excerpt does not name the specific benchmark.
Reportedly the Decisions API is built on GPT-6 Luna for fast, single decisions and classification tasks (i.e., Luna is used as the model for that API).
Some coverage characterizes Sol and Luna as largely matching their predecessors' performance while delivering significant price reductions (phrases used include 'barely move the needle on performance'), indicating that the primary change in these releases was cost efficiency rather than large capability gains.
WHAT CHANGED