OpenAI: GPT-5.6 Luna
Analysis Summary
GPT-5.6 Luna is OpenAI's budget-oriented measured model, delivering strong coding capability and useful agentic performance at a fraction of premium token costs. Its 1.05 million token context supports long documents and sizeable codebases, while vision, file input, tool use, and function calling extend it beyond ordinary text generation.
It suits high-volume SEO production, content transformation, coding assistants, document extraction, and routine agents where cost control matters. Reasoning is below GPT-5.6 Sol and the strongest flagship models, so complex research, sensitive client advice, and difficult autonomous tasks should be escalated. For bulk traffic, the low input and output prices materially improve economics without sacrificing the integration features needed for production workflows.
Assessed September 7, 2026
Editorial notes
GPT-5.6 Luna pairs strong coding and agentic capability with vision, tool calling, a 1.05M-token context, and very low pricing, making it a compelling volume model for structured workflows.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
GPT-5.6 Luna pairs strong coding and agentic capability with vision, tool calling, a 1.05M-token context, and very low pricing, making it a compelling volume model for structured workflows.
How OpenAI: GPT-5.6 Luna compares
OpenAI: GPT-5.6 Luna ranks #50 of 443 AI models we track for overall intelligence, #30 of 210 for coding, #35 of 192 for agentic tasks. Its 1.1M-token context window is larger than 98% of the models we list. At $0.20 per million input tokens it is cheaper than 56% 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 business fit. The pulled-in intelligence 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 | $0.20 | $0.000200 |
| Output | $1.20 | $0.001200 |
What would OpenAI: GPT-5.6 Luna cost your business?
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A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 798 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 for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout OpenAI: GPT-5.6 Luna
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..
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Frequently asked questions about OpenAI: GPT-5.6 Luna
How much does OpenAI: GPT-5.6 Luna cost?
OpenAI: GPT-5.6 Luna costs $0.20 per million input tokens and $1.20 per million output tokens.
What is the context window of OpenAI: GPT-5.6 Luna?
OpenAI: GPT-5.6 Luna has a context window of 1,050,000 tokens (1.1M).
Is OpenAI: GPT-5.6 Luna good for coding?
On our coding benchmark index, OpenAI: GPT-5.6 Luna ranks #30 of 210 models, placing it in the top quartile of the field for code generation and debugging.
What can OpenAI: GPT-5.6 Luna do?
OpenAI: GPT-5.6 Luna supports image/vision input, tool use, and function calling.
Who created OpenAI: GPT-5.6 Luna?
OpenAI: GPT-5.6 Luna is developed by OpenAI and was released on July 9, 2026.