Guide
OpenAI GPT-6 Sol: coding, agents, reasoning levels, pricing and prompting
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GPT-6 Sol is OpenAI’s new GPT-6 model designed to balance frontier-level intelligence with significantly lower cost.
It is built primarily for:
Important: GPT-6 Sol is currently available in ChatGPT Work and Codex, but it is separate from the models used in regular Chat. It is also available through the OpenAI API.
GPT-6 Astra
Most capable GPT-6 model for the hardest tasks.
GPT-6 Sol
Strong intelligence with a better balance of capability, speed, and cost.
GPT-6 Luna
Lowest-cost GPT-6 model for high-volume workloads.
GPT-6 Sol supports six reasoning-effort settings:
None
Fastest option for straightforward work.
Low
Light reasoning for relatively simple tasks.
Medium
Default balance of reasoning and speed.
High
More reasoning for difficult problems.
XHigh
Extended reasoning for highly complex work.
Max
Maximum available reasoning effort.
Higher reasoning is useful when accuracy and problem-solving matter more than latency.
1. Coding
Use it to:
2. AI Agents
GPT-6 Sol is specifically optimized for agentic workflows. It can help agents:
3. Professional Work
Useful for:
4. Research
Use it for:
5. Computer Use
GPT-6 Sol can power agents that interact with computer interfaces and complete multi-step workflows across software.
6. Automation
It can combine reasoning, tools, files, code, search, and external systems to automate workflows that would otherwise require multiple manual steps.
GPT-6 Sol supports:
It does not currently support fine-tuning.
Async Tool Calling
GPT-6 can continue working on independent parts of a problem while an external tool is still running.
Mid-Turn Steering
You can give the model new instructions while it is working. This makes it easier to:
With a 1.05 million-token context window, GPT-6 Sol can work with extremely large amounts of information.
Useful examples:
Large context does not mean you should automatically provide everything. Relevant, well-organized context usually produces better results.
Standard pricing per 1 million tokens:
For prompts above 272,000 input tokens, higher long-context pricing applies to the full request.
Batch and Flex processing can cost 50% of Standard rates.
Fast mode costs more in exchange for faster processing.
Repeated instructions, tool definitions, and context can be cached.
Cached input costs substantially less than normal input.
This is especially valuable for:
A strong prompt should contain:
1. Goal
Clearly state what needs to be accomplished.
2. Context
Provide the information needed to understand the task.
3. Inputs
Specify files, data, text, images, or resources it should use.
4. Constraints
Define what it must and must not do.
5. Process
Explain important steps when the workflow requires them.
6. Output
Specify exactly what the final deliverable should contain.
7. Quality Bar
Define 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, simple transformations.
Low
Simple coding, writing, summaries, routine analysis.
Medium
General professional work and moderately difficult reasoning.
High
Complex research, coding, planning, and analysis.
XHigh
Very difficult technical or multi-step problems.
Max
Tasks where maximum reasoning quality matters more than latency.
Choose Astra when:
Choose Sol when:
Choose Sol for:
Choose Luna for:
GPT-6 Sol is the newer generation.
OpenAI says it improves professional work, factual reliability, coding, computer use, communication quality, and cost efficiency compared with GPT-5.6 Sol.
Its standard API pricing is also 50% lower than GPT-5.6 Sol’s promotional pricing at launch.
Use GPT-6 Astra when you need maximum capability. Use GPT-6 Sol when you want powerful reasoning, coding, and agentic capabilities at a much lower cost. Use GPT-6 Luna when speed, scale, and extremely low cost matter most.
GPT-6 Sol in one line: OpenAI’s balanced GPT-6 model for powerful reasoning, coding and agentic workflows at a much lower cost, with a 1.05 million-token context window.
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