GPT-6 Sol or GPT-6 Luna?
Choose GPT-6 Sol when fast autonomous coding, complex data transformation and tool orchestration is the closer match. Choose GPT-6 Luna when high-volume classification, real-time canvas editing and lightweight agents matters more. Test both on the same real tasks before moving a production workflow.
Fast autonomous coding, complex data transformation and tool orchestration
High-volume classification, real-time Canvas editing and lightweight agents
GPT-6 Sol
OpenAI's high-speed frontier reasoning model balancing coding depth and latency.
Official specification ↗GPT-6 Luna
OpenAI's lightweight, low-cost reasoning model for high-frequency agent actions.
Official specification ↗Side-by-side comparison
| Category | GPT-6 Sol | GPT-6 Luna |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Type | Model · Reasoning model | Model · Reasoning model |
| Pricing summary | $3 input, $0.30 cached input and $15 output per 1M tokens | $0.15 input, $0.015 cached input and $0.90 output per 1M tokens |
| Input price | $3 / 1M tokens | $0.15 / 1M tokens |
| Cached input | $0.30 / 1M tokens | $0.015 / 1M tokens |
| Output price | $15 / 1M tokens | $0.90 / 1M tokens |
| Context window | 1.05M tokens | 1.05M tokens |
| Maximum output | 128K tokens | 128K tokens |
| Knowledge cutoff | August 2026 | August 2026 |
| Reasoning | none, low, medium, high, xhigh, max | none, low, medium, high |
| Relative speed | Fast frontier | Ultra fast |
| 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 | Fast autonomous coding, complex data transformation and tool orchestration | High-volume classification, real-time Canvas editing and lightweight agents |
| Company | OpenAI | OpenAI |
| Product category | Model · Reasoning model | Model · Reasoning model |
| Current pricing note | $3 input, $0.30 cached input and $15 output per 1M tokens | $0.15 input, $0.015 cached input and $0.90 output per 1M tokens |
| Best suited to | Fast autonomous coding, complex data transformation and tool orchestration | High-volume classification, real-time Canvas editing and lightweight agents |
| Key capabilities | 1.05M context; 128K maximum output; Vision & multimodal; Responses API & mid-turn steering | 1.05M context; 128K maximum output; Fast token throughput; Real-time canvas integration |
| Last verified | 2026-10-15 | 2026-11-02 |
| Official product source | https://developers.openai.com/api/docs/models/gpt-6-sol | https://developers.openai.com/api/docs/models/gpt-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 Sol or GPT-6 Luna: which should I choose?
Choose GPT-6 Sol for fast autonomous coding, complex data transformation and tool orchestration. Choose GPT-6 Luna for high-volume classification, real-time canvas editing and lightweight agents. Validate the decision with your own prompts and total task cost.
Is GPT-6 Sol cheaper than GPT-6 Luna?
Pricing units can differ. GPT-6 Sol: $3 input, $0.30 cached input and $15 output per 1M tokens. GPT-6 Luna: $0.15 input, $0.015 cached input and $0.90 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 Sol is positioned for fast autonomous coding, complex data transformation and tool orchestration; GPT-6 Luna is positioned for high-volume classification, real-time canvas editing and lightweight agents. Run the same repository task on both.
How do their context windows compare?
GPT-6 Sol lists 1.05M tokens; GPT-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.