OpenAI: GPT-5.6 Luna (batch)
Analysis Summary
GPT-5.6 Luna is configured for economical, high-volume workflows while retaining a 1M-token context window, image and file input, tool use, and function calling. That makes it relevant to SEO briefs, content transformations, document extraction, and routine agent steps where cost control is important.
Its feature set is broader than a basic text model, but there is no benchmark data for this exact variant. Teams therefore cannot yet verify its reasoning depth, writing precision, coding capability, or reliability in multi-step tool workflows.
Use Luna for supervised volume traffic, draft generation, and lower-risk automation. Validate outputs against production criteria before using it for autonomous client-facing decisions or complex reasoning.
Assessed September 7, 2026
Editorial notes
GPT-5.6 Luna offers a 1M-token context, multimodal input, tool use, and function calling at very low listed pricing. This specific variant has no benchmark evidence and needs workflow testing.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
GPT-5.6 Luna offers a 1M-token context, multimodal input, tool use, and function calling at very low listed pricing. This specific variant has no benchmark evidence and needs workflow testing.
How OpenAI: GPT-5.6 Luna (batch) compares
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 69% 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.
Strongest on value. The pulled-in technical corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side →Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.10 | $0.000100 |
| Output | $0.60 | $0.000600 |
What would OpenAI: GPT-5.6 Luna (batch) cost your business?
Pick the job that looks most like yours, then fine-tune with the sliders. Estimates update live.
A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 779 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save OpenAI: GPT-5.6 Luna (batch) for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout OpenAI: GPT-5.6 Luna (batch)
GPT-5.6 Luna is a fast, cost-efficient model in OpenAI's GPT-5.6 series. It is suited for high-volume, latency-sensitive tasks such as chat, classification, and lightweight agentic workflows, providing capable reasoning for..
Frequently asked questions about OpenAI: GPT-5.6 Luna (batch)
How much does OpenAI: GPT-5.6 Luna (batch) cost?
OpenAI: GPT-5.6 Luna (batch) costs $0.10 per million input tokens and $0.60 per million output tokens.
What is the context window of OpenAI: GPT-5.6 Luna (batch)?
OpenAI: GPT-5.6 Luna (batch) has a context window of 1,050,000 tokens (1.1M).
What can OpenAI: GPT-5.6 Luna (batch) do?
OpenAI: GPT-5.6 Luna (batch) supports image/vision input, tool use, and function calling.
Who created OpenAI: GPT-5.6 Luna (batch)?
OpenAI: GPT-5.6 Luna (batch) is developed by OpenAI and was released on July 9, 2026.