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OpenAI GPT-6 Sol: coding, agents, reasoning levels, pricing and prompting
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A complete, practical guide to OpenAI GPT-6 Sol: what it is, core specs, reasoning levels, agent capabilities, pricing, prompting, best practices and limitations.
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GPT-6 Sol is OpenAI’s new GPT-6 model, built to pair frontier-level intelligence with much lower cost.
It is designed mainly for:
Note: GPT-6 Sol is currently available in ChatGPT Work and Codex, separate from the models behind regular Chat. You can also reach it through the OpenAI API.
GPT-6 Astra
The most capable GPT-6 model, built for the hardest tasks.
GPT-6 Sol
Strong intelligence with a better mix of capability, speed, and cost.
GPT-6 Luna
The lowest-cost GPT-6 model, made for high-volume workloads.
GPT-6 Sol offers six reasoning-effort settings:
None
The fastest setting for simple work.
Low
Light reasoning for fairly simple tasks.
Medium
The default mix of reasoning and speed.
High
Deeper reasoning for hard problems.
XHigh
Extended reasoning for very complex work.
Max
The highest reasoning effort available.
Raise reasoning when accuracy and problem-solving matter more than speed.
1. Coding
Use it to:
2. AI Agents
GPT-6 Sol is tuned for agentic workflows. It can help agents:
3. Professional Work
Use it for:
4. Research
Use it to:
5. Computer Use
GPT-6 Sol can power agents that operate computer interfaces and finish multi-step workflows across software.
6. Automation
It can combine reasoning, tools, files, code, search, and external systems to automate workflows that would otherwise take several manual steps.
GPT-6 Sol works with:
Fine-tuning is not supported at this time.
Async Tool Calling
GPT-6 can keep working on independent parts of a problem while an external tool is still running.
Mid-Turn Steering
You can send new instructions while the model is working. This lets you:
With a 1.05 million-token context window, GPT-6 Sol can handle very large amounts of information.
Good candidates:
A large window is no reason to paste in everything. Relevant, well-organized context usually gets better results.
Standard pricing per 1 million tokens:
Once a prompt passes 272,000 input tokens, higher long-context pricing applies to the whole request.
Batch and Flex processing can run at 50% of Standard rates.
Fast mode charges more in return for quicker processing.
You can cache repeated instructions, tool definitions, and context.
Cached input costs far less than regular input.
Caching pays off most for:
A strong prompt includes:
1. Goal
State plainly what must get done.
2. Context
Give the background needed to understand the task.
3. Inputs
Name the files, data, text, images, or resources to use.
4. Constraints
Spell out what it must and must not do.
5. Process
Explain key steps when the workflow depends on them.
6. Output
Say exactly what the final deliverable must contain.
7. Quality Bar
Describe what a successful answer looks like.
Goal: [What you want accomplished] Context: [Relevant background] Inputs: [Information or resources available] Requirements: [What must be included] Constraints: [Rules it must follow] Output: [Exact desired format] Success criteria: [What makes the result excellent]
None
Classification, extraction, formatting, and simple transformations.
Low
Simple coding, writing, summaries, and routine analysis.
Medium
Everyday professional work and moderately hard reasoning.
High
Complex research, coding, planning, and analysis work.
XHigh
Very hard technical or multi-step problems.
Max
Work where top reasoning quality outweighs latency.
Choose Astra when:
Choose Sol when:
Choose Sol for:
Choose Luna for:
GPT-6 Sol is the newer generation of the two.
OpenAI says it beats GPT-5.6 Sol on professional work, factual reliability, coding, computer use, communication quality, and cost efficiency.
Its standard API pricing also sits 50% below GPT-5.6 Sol’s promotional launch pricing.
Pick GPT-6 Astra when you need maximum capability. Pick GPT-6 Sol for strong reasoning, coding, and agentic work at a much lower cost. Pick GPT-6 Luna when speed, scale, and very low cost come first.
GPT-6 Sol in one line: OpenAI’s balanced GPT-6 model for strong reasoning, coding, and agentic workflows at a much lower cost, with a 1.05 million-token context window.
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