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Your Digital Twin talks to a real AI model behind the scenes — and which one it uses isn’t a per-message toggle you flip while chatting. The model is part of how the Twin is configured: someone who manages the Twin picks it once, and every conversation uses it until they change it. This page explains how that choice is made, how to tell which model answered a given message, and where to change it if the Twin is yours to manage.
There’s no model switcher floating in the chat box. The model a conversation uses is set per Digital Twin (and, optionally, per assistant) by whoever configures it.

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Why the model matters

Different jobs deserve different tools, and that’s why Pria supports many models.

Cost

Smaller models burn far fewer credits per turn. For brainstorming or quick lookups, a lightweight model is plenty.

Speed

Compact models reply in seconds. Reserve the slower, larger ones for when you actually need depth.

Depth

Frontier reasoning models (Claude Opus, GPT-5, Gemini 3 Pro, Grok 4) plan, reflect, and self-check before answering — best for analysis, long planning, and nuanced writing.

Specific capability

Some models read images, some have million-token context windows, some power live voice. The right model is the one whose strengths match the task.

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Which model am I using?

To see exactly which model produced any answer, hover the response and open View Details (the icon). The Conversation History card lists the Model that answered, alongside performance and credit details.
The Conversation History details card showing the model name, performance timings, and credit cost for a single response.

View Details → Conversation History shows the model that answered, with timing and credit cost.

If you simply want to chat, you don’t need to do anything here — your Twin is already set to a sensible model. The rest of this page is for when you manage a Twin and want to choose its model.
A spoken conversation may name a different model. A twin can run its voice on a different model from its typing, so a saved Convo Mode conversation names the one that actually spoke — on a twin with an Anam avatar it reads Anam Response Model, matching the setting in Instance Settings rather than the twin’s typing model.

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Setting your Twin’s model

If you manage a Digital Twin, open [+] → Settings in the message box and choose the row with your Digital Twin’s name to open Instance Settings, then select Conversation. The Conversation Model dropdown sets the model; expand Model Options to browse the full catalog.
The Instance Settings Conversation tab showing a Conversation Model dropdown set to “-- Default --”, a Model Options expander, and a Max Tokens (Completion) field.

Instance Settings → Conversation: the Conversation Model dropdown defaults to “-- Default --”; expand “Model Options” for the full catalog.

The dropdown’s first choice is labeled -- Default --. Leaving it there means the Twin uses Pria’s current default model — a balanced, reliable choice the Praxis AI team keeps up to date, so you automatically benefit when it’s upgraded. You don’t have to chase model releases yourself.
The change applies to the next question asked. Answers already on screen stay attributed to whichever model produced them. Right under it, Fallback conversation model picks the model that answers when the conversation model fails before any reply has started (for example, it is briefly unavailable). Leave it unset to use the platform default. A reply answered by the fallback says so on its usage card.

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Reading the model catalog

Model Options lists every available model, grouped by provider. Use the Filter providers checkboxes (one per provider, plus Show Deprecated) to narrow the list. Each row shows the model’s Input Size and Output Size (how much text it can take in at once — its context window — and the longest reply it can write), an indicative Price $/1M tokens (a token is roughly four characters of text), and a set of Features icons summarizing what it can do.
The Model Options catalog with provider filter checkboxes and a table of models from OpenAI, Amazon, and Anthropic showing input size, output size, price per million tokens, and a Features column of small icons.

The Model Options catalog: filter by provider, then compare each model's input/output sizes, price per 1M tokens, and Features icons.

Pria ships models that comply with Zero Data Retention (ZDR) — your prompts and responses aren’t stored by the model provider. A few models are exceptions, marked with a warning in the catalog; using them accepts the provider’s 30-day retention.
The Features icons tell you at a glance what each model supports:

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Custom Models

If your organisation has configured its own model — a self-hosted endpoint or one bound to your own provider key — Instance Settings → Conversation shows it as a card labelled Custom AI Model, with its name and a Configure button, in place of the model dropdown.
Instance Settings on the Conversation section, showing a model card labelled Custom AI Model with a Configure button, above the Enable Moderation, Cite Sources and Compact History switches.

A Twin that uses a Custom AI Model: Instance Settings → Conversation shows the model's card with a Configure button.

Custom Models behave like the built-in catalog from the chat side — same conversation experience, same credit accounting. Setting one up is an administrator’s task; see AI Models in the Admin Guide.

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Per-assistant model

An assistant (a specialized persona you pick in the Assistants window) can run on its own model. When you build or edit an assistant, the Conversation Model field — with the same -- Default -- option and Model Options catalog — lets you pin the model that best fits that persona’s job.
The Edit Assistant dialog with a Conversation Model dropdown set to “-- Default --” and a Model Options expander.

Edit Assistant → Conversation Model: pin a specific model to a persona, or leave it on the Twin default.

When a conversation runs through an assistant that pins a model, that model is used regardless of the Twin’s default. This is common for image-focused, code, or research assistants where the right model is part of the assistant’s identity. To use a different model with the same prompt, start a conversation with a different assistant, or one that leaves its model on -- Default --.

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Getting a different model

Open Instance Settings → Conversation → Conversation Model and pick the model — or set it on a specific assistant instead, so only that persona changes.
You use the model the Twin is set to. Choose an assistant whose model fits your task, or ask whoever administers the Twin to adjust it. For organisation-wide model requests, contact the Praxis AI team at humans@praxis-ai.com.
Your personal Pria uses Pria’s default model, which you can’t change. A Digital Twin of your own lets you choose its model — see Create Your Digital Twin.