OpenAI: GPT-5.6 Luna
Analysis Summary
GPT-5.6 Luna is OpenAI's benchmarked budget tier, recording an intelligence index of 52.3, coding index of 71.4, and agentic index of 46.9. It includes tool use, function calling, vision, and text, image, and file input, supported by a 1.05M token context window. This gives it unusual breadth for a lower-cost deployment tier.
The model fits SEO pipelines, content operations, coding assistance, document analysis, and tool-enabled agents that need capable reasoning at scale. Its measured coding and agentic capability supports more than routine text generation, although the strongest flagship models remain preferable for the hardest autonomous or high-consequence work. The very low listed pricing makes broad routing practical.
Adopt Luna as the default volume model for agency workflows, with escalation to Sol or Terra when complexity or risk rises. It offers an effective balance of capability, context, multimodality, and cost.
Assessed August 23, 2026
Editorial notes
GPT-5.6 Luna pairs high reasoning and coding capability with strong agentic performance, multimodal input, a 1.05M token context window, and very low pricing. It is an excellent volume model for serious production 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 high reasoning and coding capability with strong agentic performance, multimodal input, a 1.05M token context window, and very low pricing. It is an excellent volume model for serious production workflows.
How OpenAI: GPT-5.6 Luna compares
OpenAI: GPT-5.6 Luna ranks #30 of 430 AI models we track for overall intelligence, #26 of 203 for coding, #33 of 185 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 57% 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 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 | $0.20 | $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 738 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 #26 of 203 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.