BastionGPT is built on a multi-model architecture that draws from the most capable large language models available today. Rather than locking users into a single provider, the platform integrates licensed models from OpenAI (GPT-5.x), Anthropic (Claude Sonnet), and Google (Gemini 3 Pro), selecting the optimal engine for each request in real time. For healthcare providers and administrators, this means consistently high-quality outputs whether you are drafting clinical documentation, summarizing research, or generating therapy notes.
What sets BastionGPT apart from general-purpose tools is the depth of its healthcare-specific tuning. Every model response passes through safety and accuracy layers designed to suppress pseudo-science, surface evidence-based clinical guidance, and align outputs with the standards clinicians and compliance officers expect. If you have searched for a HIPAA compliant ChatGPT alternative or a medical GPT that actually understands clinical context, this is the architecture that makes it possible.
The automatic model-routing layer also removes a common pain point for busy professionals. Instead of manually choosing between models or maintaining separate subscriptions, users interact with a single healthcare AI assistant that handles the decision behind the scenes. A progress note request might leverage one model's strength in structured medical documentation, while a nuanced differential diagnosis question routes to another model optimized for reasoning. The result is a seamless experience that adapts to the task at hand.
If you are wondering why responses do not draw on live web results, see why BastionGPT doesn't browse the web.
Security and compliance are embedded at every layer, not bolted on. BastionGPT operates as a HIPAA compliant AI solution from end to end, so protected health information never reaches a model endpoint without appropriate safeguards. For IT administrators evaluating AI platforms for clinical environments, this removes the regulatory guesswork that comes with trying to lock down consumer-grade chatbots.
Can I choose which AI model BastionGPT uses?
Yes. Automatic routing is the default because it works well for most tasks, and you can also lock in a specific model whenever you have a preference. There are two ways to do it:
Use the response mode selector. In the chat interface, open the response mode selector and choose the model you want. BastionGPT will default to that model for your requests.
Name the model at the start of your prompt. Type the model's name followed by a pipe character (|) as the very first part of your prompt, then write your request as usual. This works in the web app and in API calls.
If some models are missing from your selector, see which plan unlocks model selection.
A tip from our team: the model you pick is only part of the result (roughly a third, in our experience). How you format your instructions and which background documents you attach matter just as much. And if you do lock in a favorite, try the other models again every few weeks. They improve with every release, and a model that lagged a few months ago may now be the best fit for your work.
Why don't I see Claude as an option?
Manual Claude selection is included with Professional Plus and above. If you are on the Professional plan, you will not see Claude in the selector, but you are not missing out on quality: when our routing detects that Claude is likely the best model for your request, it still sends your request there automatically.
For more background on Anthropic's models in healthcare, read Claude and HIPAA compliance explained.
How quickly do new AI models reach BastionGPT?
Typically within about three weeks of a major release. Before any new model goes live, we run it through roughly 200 real-world clinical use cases: how it handles large charts, noisy or scanned source data, plain-language rewrites of technical content, and more. Our clinical advisory board tests each model qualitatively, and our automated evaluations measure it quantitatively using tasks the models could not have trained on. When a new model solves a real problem for our customers, we make it a top priority and have completed that evaluation in as little as a few days. When a release performs about the same as what we already offer, rollout can take longer. Either way, we never skip the testing: our goal is that you always work with each model's strengths, not its weaknesses.
You can track new models in the change log as they go live.
Which models can I choose right now?
The model lineup changes frequently, because we add new frontier models within weeks of release and retire older ones. Rather than maintaining a list here, check the response-mode selector inside the app: it always shows the current options for your plan. Automatic routing (the default) picks the best model for each request on every plan; manual model selection is available on Professional Plus and above. If you need to know whether a specific model is available today, the selector is the source of truth, or ask our team.