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BrowserOS includes a default AI model you can use right away, but it has strict rate limits. For the best experience, bring your own API keys or run models locally. See how to connect your own LLM in under a minute:

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Use Your Existing Subscription

Already paying for ChatGPT Pro, GitHub Copilot, or Qwen Code? Connect your existing account to BrowserOS with a single sign-in — no API keys, no extra cost.

ChatGPT Pro / PlusSign in with your OpenAI account. Access GPT-5 Codex, GPT-5.4, and the full Codex lineup with up to 400K context.

GitHub CopilotSign in with your GitHub account. Access 19+ models including Claude, GPT-5, and Gemini through one subscription.

Qwen CodeSign in with your Qwen account. Access Qwen 3 Coder with a 1 million token context window.

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Which Model Should I Use?

ModeWhat worksRecommendation
Chat ModeAny model, including localOllama or Gemini Flash
Agent ModeCloud models onlyClaude Opus 4.5, GPT-5, or Kimi K2.5 (open source)
Local LLMs aren’t powerful for most agentic tasks yet. They’re great for Chat — asking questions about a page, summarizing, etc. But agent tasks need strong reasoning to click the right elements and handle multi-step workflows. Use Claude Opus 4.5, GPT-5, or Kimi K2.5 for agents.

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Kimi K2.5 — In Partnership with Moonshot AI

BrowserOS has partnered with Moonshot AI to bring Kimi K2.5 as a first-class provider. Kimi K2.5 is now the recommended model in BrowserOS and is set as the default provider. For a limited time, BrowserOS users get extended usage limits powered by Kimi K2.5. This means you can use the AI agent, chat, and other AI-powered features with increased limits at no cost.

Open Source

Fully open-source model you can inspect and trust.

Multimodal

Supports images out of the box, including screenshots and visual context.

Great for Agents

Strong reasoning for browser automation, form filling, and multi-step workflows.

Affordable

Excellent agentic performance at a fraction of the cost of other frontier models.

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Why Kimi K2.5?

Kimi K2.5 offers excellent performance for agentic tasks at a fraction of the cost of other frontier models. It supports images, has a 128,000 token context window, and delivers strong results on browser automation tasks. Combined with BrowserOS’s open-source agent framework, this makes for a powerful and affordable AI browsing experience.

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Bring Your Own Kimi API Key

You can also bring your own Kimi API key if you want to use Kimi K2.5 beyond the extended usage period, or if you want your own dedicated limits. Get your API key:
  1. Go to platform.moonshot.ai and create an account
  2. Navigate to the API keys section in your dashboard
  3. Click Create new API key and copy the key
Add to BrowserOS:
  1. Go to chrome://browseros/settings
  2. Click USE on the Moonshot AI card
  3. Enter your API key (it will be encrypted and stored locally on your machine)
  4. The model is pre-configured to kimi-k2.5 with a 128,000 context window
  5. Click Save
The base URL for the Kimi API (https://api.moonshot.ai/v1) is pre-filled automatically when you select the Moonshot AI provider template.

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Cloud Providers

Connect to powerful AI models using your API keys. Your keys stay on your machine — requests go directly to the provider.
Gemini Flash is fast and free. Google gives you 20 requests per minute at no cost.Get your API key:
  1. Go to aistudio.google.com
  2. Click Get API key in the sidebar
  3. Click Create API key and copy it Get Gemini API key
Add to BrowserOS:
  1. Go to chrome://browseros/settings
  2. Click USE on the Gemini card
  3. Set Model ID to gemini-2.5-flash (or gemini-2.5-pro, gemini-3-pro-preview, gemini-3-flash-preview)
  4. Paste your API key
  5. Check Supports Images, set Context Window to 1000000
  6. Click Save Gemini config
Claude Opus 4.5 gives the best results for Agent Mode.Get your API key:
  1. Go to console.anthropic.com
  2. Click API keys in the sidebar
  3. Click Create Key and copy it Get Claude API key
Add to BrowserOS:
  1. Go to chrome://browseros/settings
  2. Click USE on the Anthropic card
  3. Set Model ID to claude-opus-4-5-20251101 (or claude-sonnet-4-5-20250929, claude-haiku-4-5-20251001)
  4. Paste your API key
  5. Check Supports Images, set Context Window to 200000
  6. Click Save Claude config
GPT-5 is OpenAI’s most capable model for both chat and agent tasks.Get your API key:
  1. Go to platform.openai.com
  2. Click settings icon → API keys
  3. Click Create new secret key and copy it Get OpenAI API key
Add to BrowserOS:
  1. Go to chrome://browseros/settings
  2. Click USE on the OpenAI card
  3. Set Model ID to gpt-5 (or gpt-5.2, gpt-5-mini, gpt-4.1, o4-mini)
  4. Paste your API key
  5. Check Supports Images, set Context Window to 200000
  6. Click Save OpenAI config
Access 500+ models through one API.Get your API key:
  1. Go to openrouter.ai and sign up
  2. Go to openrouter.ai/keys and create a key
Pick a model: Go to openrouter.ai/models and copy the model ID you want (e.g., anthropic/claude-opus-4.5, google/gemini-2.5-flash).OpenRouter modelsAdd to BrowserOS:
  1. Go to chrome://browseros/settings
  2. Click USE on the OpenRouter card
  3. Paste the model ID and your API key
  4. Set Context Window based on the model
  5. Click Save OpenRouter config
Use OpenAI models hosted on your own Azure subscription for enterprise compliance and data residency.Prerequisites:
  1. An Azure subscription with access to Azure OpenAI Service
  2. A deployed model (e.g., GPT-4o) in your Azure OpenAI resource
Get your credentials:
  1. Go to portal.azure.com → Azure OpenAI resource
  2. Navigate to Keys and Endpoint
  3. Copy Key 1 and your Endpoint URL
Add to BrowserOS:
  1. Go to chrome://browseros/settings
  2. Click USE on the Azure card
  3. Set Base URL to your Azure endpoint (e.g., https://your-resource.openai.azure.com/openai/deployments/your-deployment)
  4. Set Model ID to your deployment name
  5. Paste your API key
  6. Check Supports Images, set Context Window to 128000
  7. Click Save
Access Claude, Llama, and other models through your AWS account with IAM-based authentication.Prerequisites:
  1. An AWS account with Amazon Bedrock enabled
  2. Model access granted in the Bedrock console for your desired models
Get your credentials:
  1. Go to the AWS Console → IAM
  2. Create or use an existing access key with Bedrock permissions
  3. Note your Access Key ID, Secret Access Key, and Region
Add to BrowserOS:
  1. Go to chrome://browseros/settings
  2. Click USE on the AWS Bedrock card
  3. Set Base URL to your Bedrock endpoint (region-specific)
  4. Set Model ID to the Bedrock model ID (e.g., anthropic.claude-3-sonnet-20240229-v1:0)
  5. Paste your credentials
  6. Check Supports Images, set Context Window to 200000
  7. Click Save
Connect to any provider that implements the OpenAI-compatible API format (e.g., Together AI, Fireworks, Groq, Perplexity).Add to BrowserOS:
  1. Go to chrome://browseros/settings
  2. Click USE on the OpenAI Compatible card
  3. Set Base URL to the provider’s API endpoint
  4. Set Model ID to the model you want to use
  5. Paste your API key
  6. Set Supports Images and Context Window based on the model
  7. Click Save
Most newer AI providers support the OpenAI-compatible API format. Check your provider’s docs for the base URL and available model IDs.

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Local Models

Local Model Guide

Run AI completely offline with Ollama or LM Studio. Includes recommended models, context length setup, and configuration steps.

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Switching Between Models

Use the model switcher in the Assistant panel to change providers anytime. The default provider is highlighted. Model switcher
Use local models for sensitive work data. Switch to Claude for agent tasks that need complex reasoning.