---
title: "AI Models behind Minds | Minds"
canonical_url: "https://getminds.ai/guide/models"
last_updated: "2026-05-19T11:19:57.250Z"
meta:
  description: "Which AI models power each part of the Minds platform — Mind chats, image and document analysis, panel summaries, voice transcription. Defaults are fetched live from the production prompts."
  "og:description": "Which AI models power each part of the Minds platform — Mind chats, image and document analysis, panel summaries, voice transcription. Defaults are fetched live from the production prompts."
  "og:title": "AI Models behind Minds | Minds"
  "twitter:description": "Which AI models power each part of the Minds platform — Mind chats, image and document analysis, panel summaries, voice transcription. Defaults are fetched live from the production prompts."
  "twitter:title": "AI Models behind Minds | Minds"
---

Minds Team

# **AI Models behind Minds**

Which AI models power each part of the Minds platform — Mind chats, image and document analysis, panel summaries, voice transcription. Defaults are fetched live from the production prompts.

# AI Models behind Minds

Different parts of the platform use different AI models — picked per task for the best trade-off between quality, speed, and cost. The table below is grouped by functional area and **fetched live from the running production prompts**, so it always reflects what the platform is actually using right now.

Loading current AI models…

## How to read this

- **Area** is a functional grouping inside the platform (Mind chats, image analysis, panels, voice, …).
- **Provider** is who hosts the model — Anthropic (Claude), OpenAI (GPT / o-series), or Google (Gemini).
- **Model** is the underlying AI model name (e.g. `claude-sonnet-4-6`, `gpt-4.1-mini`, `gemini-2.5-flash`). If an area runs more than one task internally, the deduped list of all models used is shown.

## Overriding models per request

If you're calling the platform programmatically, you can override the model on a per-request basis (for benchmarking, cost tuning, or testing new releases) by passing `model` and `provider` parameters in your API call.

See the [API model override docs](https://getminds.ai/api/chat#model-override) for the full list of supported providers and the auto-detection rules.

## Keeping up with releases

Default model selections are reviewed regularly and updated whenever providers ship a meaningful upgrade. The table above will reflect the change the moment the new defaults are deployed — no manual doc edits needed.