OpenAI: GPT-5.6 Luna
Analysis Summary
OpenAI's GPT-5.6 Luna is a value-tier model with a 1.05M-token context, vision, tool use, and function calling. Its measured intelligence is in the good range, with stronger results in coding and agentic capability. Those strengths give it a useful profile for integrating tools and handling sizeable documents without defaulting to a premium model.
Luna is a candidate for scaled coding assistance, document workflows, and routine multimodal automation. Its listed input price is $0.20 per million tokens and output price is $1.20 per million tokens, making it particularly relevant when request volume matters. It is not a substitute for a stronger flagship on the most consequential reasoning tasks, but it offers a compelling balance for repeatable work. Put it into a production pilot with checks for tool reliability and answer quality, then route tasks by complexity.
Assessed September 23, 2026
Editorial notes
GPT-5.6 Luna combines strong coding with useful agentic capability, vision, tool calling, and a 1M-token context at low listed prices; it is well suited to scaled 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-5.6 Luna combines strong coding with useful agentic capability, vision, tool calling, and a 1M-token context at low listed prices; it is well suited to scaled workflows.
Benchmarks
Artificial Analysis data refreshed Nov 7, 2026. Arena ratings from the Oct 28, 2026 text leaderboard, with style control.
How OpenAI: GPT-5.6 Luna compares
OpenAI: GPT-5.6 Luna ranks #49 of 447 AI models we track for overall intelligence, #12 of 199 for coding, #13 of 181 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 52% 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 | $0.20 | $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.
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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..
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 #12 of 199 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.