OpenAI: GPT-5.6 Luna (batch)
Analysis Summary
GPT-5.6 Luna is OpenAI's low-cost configuration for broad API deployment. The supplied feature set includes text, image, and file input, vision, tool use, function calling, and a 1.05 million token context window. Its exceptionally low pricing gives it a strong fit for high-volume processing where tasks are repeatable and easy to review.
Suitable workloads include SEO enrichment, content formatting, classification, simple document analysis, and routine workflow steps using external tools. The context capacity is generous for a volume tier, although cost alone does not establish answer quality. No benchmark data is supplied for this exact variant, so teams should test instruction following, consistency, and tool-call accuracy before using it in client-facing automation. Keep escalation paths for ambiguous or high-stakes requests.
Assessed August 9, 2026
Editorial notes
GPT-5.6 Luna offers multimodal input, vision, tool use, function calling, and a 1.05M context window at the lowest listed pricing. It is a volume candidate, but lacks benchmark evidence for this variant.
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DFO Verdict
GPT-5.6 Luna offers multimodal input, vision, tool use, function calling, and a 1.05M context window at the lowest listed pricing. It is a volume candidate, but lacks benchmark evidence for this variant.
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 70% 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 714 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.