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AI Model & Product

GPT-5.6 Sol

Also known as: Sol, GPT-5.6, OpenAI GPT-5.6 Sol

GPT-5.6 Sol is a named model release in OpenAI's GPT-5 line, following the pattern of point releases and codenames that sit on top of a major version. As with any recent model name, the exact capabilities, context limits, pricing and availability should be read from OpenAI's own model documentation rather than assumed from the version number. For marketers, the practical question is not the name but which model powers the assistant answers your audience actually sees.

What it is

It is a specific model version within the GPT-5 family, distinguished by a point number and a codename rather than a new major generation. Point releases of this kind usually adjust reasoning behaviour, speed, cost or tool use rather than replacing the underlying family. Treat published specifications from the provider as the only reliable source for what a given release does.

Why it matters

The model behind an AI assistant shapes how it reads pages, how much it reasons before answering, whether it browses the live web and how it cites sources. When a default model changes, the same prompt can return different brands, different phrasing and different link patterns. Growth and search teams therefore see answer visibility shift for reasons that have nothing to do with their own content.

How it works

Practitioners identify which model a surface is using, then re-run a fixed set of prompts before and after any switch to see what moved. They check whether the release browses live, how it handles long pages, and whether it names sources inline or in a footnote. Content and structured data are then adjusted to suit the retrieval and citation behaviour that is actually observed.

When it applies

It applies whenever you are testing, buying or reporting on assistant visibility and need to state precisely which model produced the answers.

Examples

  • A team logs the model version alongside every stored answer in its prompt tracking sheet, so later drops can be traced to a model change.
  • An API build pins a specific model string rather than a floating alias, to stop answers shifting mid-campaign.
  • A monthly visibility report notes which assistant surfaces changed default model during the period, next to any swing in brand mentions.

How it is measured

  • Brand mention rate across a fixed prompt set, compared before and after a model change
  • Citation share of your domain in answers produced by each model version
  • Answer agreement rate between model versions on the same prompts
  • Cost and response time per answer when serving the model through the API

Related terms in AI Model & Product

Primary research · August 2026

How ChatGPT Shortlists Software Brands

An audit across 10 categories and 60 buying questions. I recorded what ChatGPT reads, throws away and links to when a buyer asks it which software to buy, and what that decides.

60
Questions asked
10
Software markets
2,680
Results read
367
Links shown
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