AI Model & Product
GPT-6.1 Sol
Also known as: GPT-6.1, OpenAI GPT-6.1 Sol, Sol 6.1
GPT-6.1 Sol is the name given to a point release in OpenAI's GPT model line, positioned as a refinement of an existing generation rather than a wholly new one. Named releases like this usually change default behaviour inside ChatGPT and the API, which in turn changes how answers are written and which sources get cited. Specific capabilities, pricing, context limits and availability should be checked against OpenAI's own model documentation, because the detail differs from release to release.
What it is
GPT-6.1 Sol refers to a versioned large language model release from OpenAI, following the convention of a major number, a point increment and a release codename. In practice, marketers encounter it as an option in the ChatGPT model picker, as a model string in API calls, or as the engine behind an assistant feature they do not control directly. The important thing for a non-technical audience is that it is a specific model version, not a separate product, and that it can be swapped underneath a familiar interface.
Why it matters
Answer engines are now a discovery surface, and the model version sitting behind that surface influences how questions are interpreted, how often the model reaches for live search, and which sources it names. A point release can shift citation patterns for your brand without you changing a single page. Tracking releases by name lets you attribute sudden movements in AI visibility to a model change rather than to your own content work.
How it works
Practitioners pin a model version in API-based tools so results stay comparable, then rerun a fixed prompt set when a new version lands to measure the delta. In ChatGPT, teams test the same brand and category prompts across available models to see whether retrieval behaviour, answer length or source selection differs. Anything that depends on stable output, such as automated content generation or classification, is re-tested before the pinned version is moved forward.
When it applies
It applies whenever you are measuring brand visibility inside ChatGPT, building on the OpenAI API, or trying to explain an unexpected change in AI answer citations that lines up with a release date.
Examples
- A B2B software team reruns its 60-prompt visibility panel the week a new model becomes the ChatGPT default, and finds its comparison pages cited in fewer answers than before.
- An agency pins a named model version in its monitoring tool so month-on-month citation reports are not distorted by silent model upgrades.
- An in-house team retests its product description generator against the new release before switching, because tone and length have drifted from the house style.
How it is measured
- Share of tracked prompts where your domain is cited, compared before and after the release
- Prompt-level overlap in cited sources between the old and new model version
- Referral sessions and assisted conversions attributed to ChatGPT in analytics
- Cost, latency and output length per task for any API workload you move to the new version
Insights on GPT-6.1 Sol
Related terms in AI Model & Product
- Agents APIAn Agents API is a programming interface for building applications where a model plans, calls tools and completes multi-step tasks rather than returning a single reply. The term is most often used for OpenAI's agent building interfaces, though other vendors offer equivalents. Teams use it to connect models to search, internal data and actions such as booking, updating records or generating reports.
- AI assistantAn AI assistant is a software product that uses a language model to hold a conversation, answer questions and carry out tasks on a user's behalf. It sits on top of one or more underlying models and adds an interface, memory, tools and safety controls. Examples include ChatGPT, Google Gemini, Microsoft Copilot, Claude and voice assistants such as Siri and Alexa.
- AI transcriptionAI transcription is the automatic conversion of spoken audio into written text using speech recognition models. Modern systems often add speaker labels, punctuation, timestamps and language detection, and can feed the output into summarisation or search. It is also called automatic speech recognition or ASR.
- BingBing is Microsooft's web search engine, available at bing.com and integrated into Microsoft Copilot and other Microsoft products. It maintains its own crawler, Bingbot, and its own index, and provides Bing Webmaster Tools for site owners. Its index and APIs have also supplied results to third-party search products and AI assistants.
- ChatGPT VoiceChatGPT Voice is the spoken conversation mode in OpenAI's ChatGPT apps, which lets you talk to the assistant and hear its replies read aloud. Advanced Voice Mode processes speech directly, so exchanges feel closer to a phone call and you can interrupt mid-answer. People use it hands free on mobile, and it is also available on desktop.
- Claude CodeClaude Code is Anthropic's agentic coding tool that works directly with a codebase, reading files, proposing and making edits, and running commands with permission. It runs in the terminal and in supported development environments, driven by natural language instructions rather than manual file by file editing. Marketing and growth teams use it for technical SEO, structured data and data tasks that would otherwise wait for engineering.
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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