Pick the model behind the branded assistant
Browse 274 models. Switch for speed, cost, or depth without changing the assistant.
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274 model pages match your filters.
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Browse models
Pick models without changing content, branding, or deployment.
Build with o3
Use o3 in InsertChat for deliberate reasoning, 200K-token context window, and a grounded route that keeps setup, comparison, and review in one place.
Build with o4-mini
Use o4-mini in InsertChat for high-throughput traffic, 200K-token context window, and a grounded route that keeps setup, comparison, and review in one place.
Build with Pixtral 12B 2409
Use Pixtral 12B 2409 in InsertChat for balanced production work, 128K-token context window, and a grounded route that keeps setup, comparison, and review in one place.
Build with Pixtral Large
Use Pixtral Large in InsertChat for balanced production work, 128K-token context window, and a grounded route that keeps setup, comparison, and review in one place.
Build with Qwen3-14B
Use Qwen3-14B in InsertChat for balanced production work, 41.0K-token context window, and a grounded route that keeps setup, comparison, and review in one place.
Build with Qwen3 235B A22b Instruct 2507
Use Qwen3 235B A22b Instruct 2507 in InsertChat for balanced production work, 131K-token context window, and a grounded route that keeps setup, comparison, and review in one place.
Build with Qwen3-30B-A3B
Use Qwen3-30B-A3B in InsertChat for balanced production work, 41.0K-token context window, and a grounded route that keeps setup, comparison, and review in one place.
Build with Qwen 3 32B
Use Qwen 3 32B in InsertChat for balanced production work, 128K-token context window, and a grounded route that keeps setup, comparison, and review in one place.
Build with Qwen 3.6 Max Preview
Use Qwen 3.6 Max Preview in InsertChat for flagship capability, 240K-token context window, and a grounded route that keeps setup, comparison, and review in one place.
Build with Qwen3 235B A22B Thinking 2507
Use Qwen3 235B A22B Thinking 2507 in InsertChat for deliberate reasoning, 262.1K-token context window, and a grounded route that keeps setup, comparison, and review in one place.
Build with Qwen3 235B Thinking
Deploy Qwen3 235B Thinking for extended reasoning in 20+ languages. Visible thought chains for complex multilingual analysis and problem-solving.
Build with Qwen3 235B
Deploy Qwen3 235B for powerful multilingual AI. Strong performance in Chinese, English, and 20+ languages with competitive reasoning and coding.
Build with Qwen 3.5 Flash
Use Qwen 3.5 Flash in InsertChat for high-throughput traffic, 1M-token context window, and a grounded route that keeps setup, comparison, and review in one place.
Build with Qwen 3.5 Plus
Use Qwen 3.5 Plus in InsertChat for balanced production work, 1M-token context window, and a grounded route that keeps setup, comparison, and review in one place.
Build with Qwen 3.6 Plus
Use Qwen 3.6 Plus in InsertChat for balanced production work, 1M-token context window, and a grounded route that keeps setup, comparison, and review in one place.
Build with Qwen 3 Coder 30B A3B Instruct
Use Qwen 3 Coder 30B A3B Instruct in InsertChat for coding-heavy work, 262.1K-token context window, and a grounded route that keeps setup, comparison, and review in one place.
Build with Qwen3 Coder Next
Use Qwen3 Coder Next in InsertChat for coding-heavy work, 256K-token context window, and a grounded route that keeps setup, comparison, and review in one place.
Build with Qwen3 Coder Plus
Use Qwen3 Coder Plus in InsertChat for coding-heavy work, 1M-token context window, and a grounded route that keeps setup, comparison, and review in one place.
Build with Qwen3 Coder 480B A35B Instruct
Use Qwen3 Coder 480B A35B Instruct in InsertChat for coding-heavy work, 262.1K-token context window, and a grounded route that keeps setup, comparison, and review in one place.
Build with Qwen3 Max Preview
Use Qwen3 Max Preview in InsertChat for flagship capability, 262.1K-token context window, and a grounded route that keeps setup, comparison, and review in one place.
Build with Qwen 3 Max Thinking
Use Qwen 3 Max Thinking in InsertChat for deliberate reasoning, 256K-token context window, and a grounded route that keeps setup, comparison, and review in one place.
Build with Qwen3 Max
Use Qwen3 Max in InsertChat for flagship capability, 262.1K-token context window, and a grounded route that keeps setup, comparison, and review in one place.
Build with Qwen3 Next 80B A3B Instruct
Use Qwen3 Next 80B A3B Instruct in InsertChat for balanced production work, 262.1K-token context window, and a grounded route that keeps setup, comparison, and review in one place.
Build with Qwen3 Next 80B A3B Thinking
Use Qwen3 Next 80B A3B Thinking in InsertChat for deliberate reasoning, 131.1K-token context window, and a grounded route that keeps setup, comparison, and review in one place.
What you get
Balance quality, speed, and budget without rebuilding setup.
- Keep the same sources, tools, and guardrails across models
- Route simple questions to faster, cheaper models
- Ground every model in your owned content
- Keep the visitor experience branded while teams choose the model
More to explore
Try the FAQ like a visitor.
Open product, pricing, security, integration, and free-tool questions in the same chat your visitors use.
InsertChat
Interactive FAQ
Hey. Pick a question below and see how InsertChat turns FAQs into clear, source-backed answers.
Product FAQ
What is InsertChat?
InsertChat is a white-label AI assistant for your website. Train it, brand it, publish it, and learn from visitor questions.
How does InsertChat use my website content?
Connect approved pages, docs, videos, FAQs, policies, and other sources. InsertChat turns them into source-backed answers and next steps.
Can I control the assistant's tone and sources?
Yes. Choose its sources, tone, welcome message, and prompts so it stays on brand.
How does InsertChat stay accurate?
Answers use approved content and source links. Analytics show unclear or missing answers so you can improve coverage.
Can it collect leads or route support questions?
Yes. InsertChat can collect details, qualify intent, add context, and send chats to the right inbox, CRM, workflow, or person.
Can I control how the assistant behaves?
Yes. Control prompts, model choice, tool access, and the branded assistant experience so behavior stays consistent.
Which AI models can I use?
InsertChat supports multiple model providers. Choose each assistant's model for quality, speed, and cost, or use BYOK.
Can I pick different models for different workflows?
Yes. Use a faster model for common questions and a stronger model for complex reasoning. InsertChat supports that balance per conversation.
Where can I deploy an assistant?
Use a widget, embed, full-page assistant, custom domain, in-app embed, or API. Reuse one setup across surfaces.
Do I need coding skills?
No. Build and deploy AI assistants using our visual builder. The embed code is one line of JavaScript.
Can I customize the branding and UI?
Yes. Customize the assistant name, logo, colors, welcome message, suggested prompts, tone, domain, and white-label presentation.
Can I use my own domain?
Yes. Custom domains are supported, typically via enterprise options.
Does InsertChat support voice?
Yes. Voice dictation and text-to-speech let users speak instead of type.
Does InsertChat support vision?
Yes. Enable vision for assistants when images help clarify a request or context.
What tools and integrations are supported?
Zendesk, HubSpot, Shopify, WooCommerce, calendar booking, web search, Perplexity, and webhooks for your own systems.
Can I control which tools the assistant is allowed to use?
Yes. Tool access is controlled per assistant so you enable only what you need.
Can the agent hand off to a human?
Yes. Configure human handoff so the agent escalates when needed. Full conversation history is passed along.
Do you provide analytics?
Yes. Track chats, leads, feedback, top questions, unanswered questions, most-used sources, and content gaps.
Is it mobile friendly?
Yes. The widget and embeds work well on desktop and mobile with no separate experience needed.
What's the fastest path to a successful deployment?
Start with one assistant and a small set of high-value sources. Iterate using real questions from analytics.
What is the fastest way to get started?
Create an account. Connect one key source. Ask a test question, brand the assistant, then publish it on one page.