GPT-6 Luna or GPT-5.6 Luna?
Choose GPT-6 Luna when high-volume classification, real-time canvas editing and lightweight agents is the closer match. Choose GPT-5.6 Luna when high-volume extraction, classification and routine agent tasks matters more. Test both on the same real tasks before moving a production workflow.
High-volume classification, real-time Canvas editing and lightweight agents
High-volume extraction, classification and routine agent tasks
GPT-6 Luna
OpenAI's lightweight, low-cost reasoning model for high-frequency agent actions.
Official specification ↗GPT-5.6 Luna
GPT-5.6 model optimized for cost-sensitive, high-volume workloads.
Official specification ↗Side-by-side comparison
| Category | GPT-6 Luna | GPT-5.6 Luna |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Type | Model · Reasoning model | Model · Reasoning model |
| Pricing summary | $0.15 input, $0.015 cached input and $0.90 output per 1M tokens | $0.20 input, $0.02 cached input and $1.20 output per 1M tokens |
| Input price | $0.15 / 1M tokens | $0.20 / 1M tokens |
| Cached input | $0.015 / 1M tokens | $0.02 / 1M tokens |
| Output price | $0.90 / 1M tokens | $1.20 / 1M tokens |
| Context window | 1.05M tokens | 1.05M tokens |
| Maximum output | 128K tokens | 128K tokens |
| Knowledge cutoff | August 2026 | February 16, 2026 |
| Reasoning | none, low, medium, high | none, low, medium, high, xhigh, max |
| Relative speed | Ultra fast | Fast / cost optimized |
| Input modalities | Text and image | Text and image |
| Output modalities | Text | Text |
| Tools and integrations | Functions, web search, file search, computer use and supported Responses API tools | Functions, web search, file search, computer use and supported Responses API tools |
| API / access | v1/responses, v1/chat/completions and v1/batch | v1/responses, v1/chat/completions and v1/batch |
| Best fit | High-volume classification, real-time Canvas editing and lightweight agents | High-volume extraction, classification and routine agent tasks |
| Company | OpenAI | OpenAI |
| Product category | Model · Reasoning model | Model · Reasoning model |
| Current pricing note | $0.15 input, $0.015 cached input and $0.90 output per 1M tokens | $0.20 input, $0.02 cached input and $1.20 output per 1M tokens |
| Best suited to | High-volume classification, real-time Canvas editing and lightweight agents | High-volume extraction, classification and routine agent tasks |
| Key capabilities | 1.05M context; 128K maximum output; Fast token throughput; Real-time canvas integration | 1.05M context; 128K maximum output; Vision input; Responses API tools |
| Last verified | 2026-11-02 | 2026-09-08 |
| Official product source | https://developers.openai.com/api/docs/models/gpt-6-luna | https://developers.openai.com/api/docs/models/gpt-5.6-luna |
How we reached this verdict
We looked at the things that affect everyday use: what each product can do, how its plans are structured, where it fits into your existing workflow, and what the provider currently documents. Benchmark results are useful context, but they are not a universal winner score because test settings and tools vary.
Common questions
GPT-6 Luna or GPT-5.6 Luna: which should I choose?
Choose GPT-6 Luna for high-volume classification, real-time canvas editing and lightweight agents. Choose GPT-5.6 Luna for high-volume extraction, classification and routine agent tasks. Validate the decision with your own prompts and total task cost.
Is GPT-6 Luna cheaper than GPT-5.6 Luna?
Pricing units can differ. GPT-6 Luna: $0.15 input, $0.015 cached input and $0.90 output per 1M tokens. GPT-5.6 Luna: $0.20 input, $0.02 cached input and $1.20 output per 1M tokens. Check tool charges, plan limits, caching and long-context rules before comparing totals.
Which is better for coding and agent work?
Capability depends on the selected product surface, tools and harness. GPT-6 Luna is positioned for high-volume classification, real-time canvas editing and lightweight agents; GPT-5.6 Luna is positioned for high-volume extraction, classification and routine agent tasks. Run the same repository task on both.
How do their context windows compare?
GPT-6 Luna lists 1.05M tokens; GPT-5.6 Luna lists 1.05M tokens. A larger limit does not by itself guarantee better retrieval or lower cost.
Official sources
Use these provider pages to confirm current features, pricing and availability.
AI tools change quickly. We checked this page on 2026-09-08. Before you subscribe, confirm the latest price, regional availability and usage limits on the provider website.