OpenAI: GPT-5.6 Luna
Analysis Summary
OpenAI's GPT-5.6 Luna is a budget multimodal model with a one-million-token context window, vision, file input, tool use, and function calling. Its measured reasoning and coding are below Terra and Sol, but remain suitable for structured tasks that benefit from long context and broad input support.
It fits high-volume SEO drafts, content transformations, document extraction, basic code assistance, and routine tool-driven operations. The lower agentic capability makes it less appropriate for complex autonomous sequences or decisions that require sustained reasoning. Human review remains important for factual, legal, and client-facing outputs.
Pricing is exceptionally favorable for volume traffic. Route repetitive and lower-risk work to Luna, while escalating difficult briefs, complex code, and high-stakes analysis to a stronger model in the same product line.
Assessed August 9, 2026
Editorial notes
GPT-5.6 Luna pairs useful reasoning and coding with a one-million-token context, vision, file input, and tool calling at exceptionally low pricing. Its lower agentic and intelligence profile makes it a volume workhorse, not a premium reasoning model.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
GPT-5.6 Luna pairs useful reasoning and coding with a one-million-token context, vision, file input, and tool calling at exceptionally low pricing. Its lower agentic and intelligence profile makes it a volume workhorse, not a premium reasoning model.
How OpenAI: GPT-5.6 Luna compares
OpenAI: GPT-5.6 Luna ranks #23 of 420 AI models we track for overall intelligence, #20 of 193 for coding, #26 of 175 for agentic tasks. 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 content 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 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 688 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 $0.10 per million input tokens and $0.60 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 #20 of 193 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.
