Can I use GPT-6 Sol on reAPI now?

Not yet. GPT-6 Sol is coming soon to reAPI, and no launch date is announced here. The playground, request examples, and reAPI pricing will be published when the integration is ready. You can browse the current catalog for models available today.

What is GPT-6 Sol useful for?

Evaluate GPT-6 Sol on complex code changes, debugging investigations, and workflows that combine reasoning with tools. Provide acceptance criteria and relevant context so you can judge the result. The coding and review scenarios above are suggested uses, not measured performance guarantees.

How large is the GPT-6 Sol context window?

OpenAI lists a 1,050,000-token context window, up to 922,000 input tokens, and up to 128,000 output tokens for GPT-6 Sol. These are official limits. The context window is not an allowance to send that entire amount as input.

Can GPT-6 Sol understand images?

Yes. GPT-6 Sol accepts images alongside text, which can help with screenshot analysis, interface reviews, and visual context for a coding task. Its native output is text. Support for a separate image-generation tool does not make it a native image-output model.

Which reasoning levels does GPT-6 Sol support?

GPT-6 Sol supports none, low, medium, high, xhigh, and max; medium is the default. OpenAI uses reasoning.effort in Responses and reasoning_effort in Chat Completions. Supported reAPI parameters will be confirmed when the integration launches.

How does GPT-6 Sol use tools?

OpenAI recommends Responses for built-in tools and function calling with GPT-6 Sol. Chat Completions supports function calling only with reasoning_effort set to none. Do not assume the two endpoints have identical behavior. reAPI support has not been announced yet.

Is GPT-6 Sol the same as GPT-5.6 Sol?

No. GPT-6 Sol uses the identifier gpt-6-sol; the earlier model uses gpt-5.6-sol. They are separate models. The comparison above is based on official specifications, and the reAPI integration must be verified independently before you change a production request.

How much will GPT-6 Sol cost on reAPI?

GPT-6 Sol pricing on reAPI has not been announced here. OpenAI’s published prices describe its own service and should not be treated as a reAPI quote. Check this page for input, output, and any applicable cache or context rates at launch.

Can GPT-6 Sol return structured data?

OpenAI lists structured outputs as a GPT-6 Sol feature. A schema can help define the shape of extracted information or a tool-facing result, but it does not establish factual correctness. Validate the content as well as the structure before using the result.

How should I compare GPT-6 Sol with my current model?

Use the same task, context, and acceptance criteria for GPT-6 Sol and your baseline. Record errors, review effort, response time, and total task cost. Include both routine work and difficult cases, then choose based on the results that matter to your application.

GPT-6 Sol — Complex Coding & Agent Workflows

Meet GPT-6 Sol, OpenAI’s model for complex coding and agentic workflows. Explore how GPT-6 Sol can help investigate a regression, work through a large codebase, and connect reasoning with tools. Coming soon to reAPI.

Coming soon — the API for this model is not available yet.

Highlights: 1.05M context · 128K output · six effort levels
Best for: Complex coding and agent workflows
Input: Text and images
Output: Text · reAPI access coming soon

GPT-6 Sol PlaygroundAPI not available

API not available on reAPI yet. This is a proposed request format, not a tested integration. The playground only builds JSON locally; it does not send requests or generate model responses.

What is GPT-6 Sol?

GPT-6 Sol is an OpenAI model built for complex coding and agentic workflows. It accepts text and images and produces text, with room for large collections of source files, specifications, and review notes. Use GPT-6 Sol to plan work that needs several connected steps: understand a problem, inspect evidence, propose a change, and check the result. This page introduces the official model; availability and integration details on reAPI will follow separately.

What you can build with this model

Real-world workflows and production use cases you can build and ship with this model.

GPT-6 Sol coding poster with source, patch, and verification cards

GPT-6 Sol for coding: trace the cause, check the fix

Give GPT-6 Sol a reproducible failure, the relevant source files, and the behavior your tests should enforce. Ask for the cause before the patch, then request a focused change and a verification plan. For a migration, include compatibility requirements and rollout constraints. Evaluate GPT-6 Sol on whether the result addresses the original failure without breaking adjacent behavior, and keep a human review before merging changes.

Explore coding models

GPT-6 Sol research poster with documents feeding a decision brief

GPT-6 Sol for long context: connect the whole brief

Bring architecture notes, issue history, screenshots, and competing proposals into one review. Ask GPT-6 Sol to identify contradictions, separate evidence from assumptions, and reference the supplied material for each conclusion. A useful output might be a migration brief with dependencies, risks, and unanswered questions. The context window gives GPT-6 Sol room to consider more material; you still need a clear question and a result your team can inspect.

GPT-6 Sol tools poster connecting Plan, Tools, and Result

GPT-6 Sol for agents: turn tool results into next steps

Plan a workflow where GPT-6 Sol can inspect information, request a tool action, read the result, and continue toward a defined outcome. Your application controls permissions, executes custom tools, and decides when approval is required. OpenAI recommends the Responses API for tools with GPT-6 Sol. The reAPI integration is not available yet, so supported endpoints and tool behavior will be documented here when access launches.

Why reAPI for GPT-6 Sol

Give GPT-6 Sol the context a task needs

OpenAI documents a 1,050,000-token context window and a maximum of 922,000 input tokens. That gives GPT-6 Sol room for related files and background decisions in a single task. Select material that bears on the question, label its source, and reserve space for the answer. A large context budget is useful when the important evidence spans several documents.

Match GPT-6 Sol reasoning to the work

GPT-6 Sol offers six reasoning effort levels, from none through max, with medium as the default. Start with a representative task and compare the quality and response time at different settings. A straightforward transformation and a difficult debugging investigation may need different choices. Measure whether extra reasoning improves the result enough to justify the additional time and token usage.

Design GPT-6 Sol workflows with clear boundaries

Decide what GPT-6 Sol can read, which tools it can request, and what a completed task looks like. Keep tool outputs available for the next step and preserve a record of changes for review. For deployment or other consequential actions, put approval in the application. This makes an agent workflow easier to inspect when a task succeeds or needs correction.

GPT-6 Sol vs GPT-5.6 Sol

GPT-6 Sol and GPT-5.6 Sol are separate OpenAI models. Their published context limits are the same, so compare the quality of completed work rather than treating context size as a performance score.

Documented characteristic

GPT-6 Sol

GPT-5.6 Sol

Model identifier

gpt-6-sol

gpt-5.6-sol

Positioning

Complex coding and agentic workflows

Complex professional work

Context window

1,050,000 tokens

Maximum output

128,000 tokens

Default reasoning effort

Medium

Knowledge cutoff

April 20, 2026

February 16, 2026

Source: OpenAI model documentation, reviewed September 23, 2026. Official specifications do not establish reAPI availability or a measured performance advantage.

Prepare your first GPT-6 Sol evaluation

step 01
Choose a real GPT-6 Sol task
Save a regression, a code review, or a document-heavy decision for GPT-6 Sol. Include an example of a useful answer and the mistakes that would make it unacceptable. Start with one repeatable task before expanding the evaluation.
Open
step 02
Prepare context for GPT-6 Sol
Collect the source files, screenshots, tool definitions, and constraints that GPT-6 Sol would need. State the intended output and how you will check it. Remove unrelated or sensitive material you do not intend to share.
Open
step 03
Check GPT-6 Sol launch details
Return for GPT-6 Sol availability, pricing, and supported request parameters on reAPI. Once access is announced, compare the prepared task with your current model using the same inputs, acceptance criteria, and review process.
Open

API reference

API not available on reAPI yet. This is a proposed request format, not a tested integration. The playground only builds JSON locally; it does not send requests or generate model responses.

Read API preview llms.txt

Frequently asked questions

Common questions about this model.

GPT-6 Sol is OpenAI’s model for complex coding and agentic workflows. It takes text and image inputs and returns text. Its official model identifier is gpt-6-sol. This page covers the model’s documented capabilities and planned availability on reAPI.