OpenAI: GPT-6 Luna
Analysis Summary
GPT-6 Luna is OpenAI's value-tier model in this lineup, with measured intelligence of 37.3 and a listed 1.05-million-token context. Vision, tool use, and function calling broaden its usefulness beyond text generation, especially for workflows that combine document analysis with structured actions. The supplied data does not include coding-specific or agentic benchmark results, so those areas need task-level validation.
For an agency, Luna is a practical candidate for high-volume content operations, SEO support, and long-document review where cost control matters. Its large context and multimodal inputs can reduce the need to split source material into smaller requests. More complex or high-stakes work should still be tested against stronger measured models.
Listed pricing is $0.10 input and $0.50 output. It is well suited to routine production traffic and supervised tool workflows, with escalation to a premium model when a task needs deeper reasoning.
Assessed September 23, 2026
Editorial notes
GPT-6 Luna offers measured strong reasoning, a 1.05M-token context, vision, and tool use at low listed prices, positioning it well for high-volume document and content workflows.
The DFO score ranks models on the Artificial Analysis Intelligence Index and is refreshed as new models launch. The write-up and verdict are our own. Feedback?
DFO Verdict
GPT-6 Luna offers measured strong reasoning, a 1.05M-token context, vision, and tool use at low listed prices, positioning it well for high-volume document and content workflows.
Benchmarks
Artificial Analysis data refreshed Oct 8, 2026. Arena ratings from the Oct 2, 2026 text leaderboard, with style control.
Artificial Analysis has not published coding or agentic results for OpenAI: GPT-6 Luna yet. Until it does, the model sits below tested models on the Coding and AI Agents lists.
How OpenAI: GPT-6 Luna compares
OpenAI: GPT-6 Luna ranks #33 of 435 AI models we track for overall intelligence. Its 1.1M-token context window is larger than 98% of the models we list. At $0.10 per million input tokens it is cheaper than 65% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.10 | $0.000100 |
| Output | $0.50 | $0.000500 |
What would OpenAI: GPT-6 Luna cost your business?
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A website chatbot handling around 100 customer conversations a day, a few short messages each.
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These numbers get smaller with the right architecture.
We route routine calls to cheap models and save OpenAI: GPT-6 Luna for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout OpenAI: GPT-6 Luna
GPT-6 Luna is the fast, cost-efficient model in OpenAI's GPT-6 series, positioned below GPT-6 Sol. It is suited for high-volume and latency-sensitive workloads such as chat, classification, and lightweight agentic..
Frequently asked questions about OpenAI: GPT-6 Luna
How much does OpenAI: GPT-6 Luna cost?
OpenAI: GPT-6 Luna costs $0.10 per million input tokens and $0.50 per million output tokens.
What is the context window of OpenAI: GPT-6 Luna?
OpenAI: GPT-6 Luna has a context window of 1,050,000 tokens (1.1M).
What can OpenAI: GPT-6 Luna do?
OpenAI: GPT-6 Luna supports image/vision input, tool use, and function calling.
Who created OpenAI: GPT-6 Luna?
OpenAI: GPT-6 Luna is developed by OpenAI and was released on September 22, 2026.