Pick the model behind the branded assistant
Browse 274 models. Switch for speed, cost, or depth without changing the assistant.
7-day free trial · No card required
Search model pages
274 model pages match your filters.
Model family
Browse models
Pick models without changing content, branding, or deployment.
Build with Ministral 14B
Use Ministral 14B in InsertChat for balanced production work, 256K-token context window, and a grounded route that keeps setup, comparison, and review in one place.
Build with Ministral 3B
Use Ministral 3B 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 Ministral 8B
Use Ministral 8B 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 Mistral Large 3
Use Mistral Large 3 in InsertChat for balanced production work, 256K-token context window, and a grounded route that keeps setup, comparison, and review in one place.
Build with Mistral Medium 3.1
Use Mistral Medium 3.1 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 Mistral Nemo 12B
Use Mistral Nemo 12B in InsertChat for balanced production work, 131.1K-token context window, and a grounded route that keeps setup, comparison, and review in one place.
Build with Mistral Small
Use Mistral Small in InsertChat for high-throughput traffic, 32K-token context window, and a grounded route that keeps setup, comparison, and review in one place.
Build with Mixtral MoE 8x22B Instruct
Use Mixtral MoE 8x22B Instruct in InsertChat for balanced production work, 65.5K-token context window, and a grounded route that keeps setup, comparison, and review in one place.
Build with Morph V3 Fast
Use Morph V3 Fast in InsertChat for high-throughput traffic, 81.9K-token context window, and a grounded route that keeps setup, comparison, and review in one place.
Build with Morph V3 Large
Use Morph V3 Large in InsertChat for balanced production work, 81.9K-token context window, and a grounded route that keeps setup, comparison, and review in one place.
Build with Nano Banana Pro
Generate high-fidelity images with Nano Banana Pro. Premium quality visuals in your AI model for product imagery, marketing assets, and creative workflows.
Build with Nano Banana
Generate images directly in your AI model with Nano Banana. Create visuals on the fly during conversations, grounded in your brand context.
Build with Nemotron 3 Nano 30B A3B
Use Nemotron 3 Nano 30B A3B in InsertChat for high-throughput traffic, 262.1K-token context window, and a grounded route that keeps setup, comparison, and review in one place.
Build with NVIDIA Nemotron 3 Super 120B A12B
Use NVIDIA Nemotron 3 Super 120B A12B in InsertChat for balanced production work, 256K-token context window, and a grounded route that keeps setup, comparison, and review in one place.
Build with Nvidia Nemotron Nano 12B V2 VL
Use Nvidia Nemotron Nano 12B V2 VL in InsertChat for high-throughput traffic, 131.1K-token context window, and a grounded route that keeps setup, comparison, and review in one place.
Build with Nvidia Nemotron Nano 9B V2
Use Nvidia Nemotron Nano 9B V2 in InsertChat for high-throughput traffic, 131.1K-token context window, and a grounded route that keeps setup, comparison, and review in one place.
Build with Nova 2 Lite
Use Nova 2 Lite 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 Nova Lite
Use Nova Lite in InsertChat for high-throughput traffic, 300K-token context window, and a grounded route that keeps setup, comparison, and review in one place.
Build with Nova Micro
Use Nova Micro in InsertChat for high-throughput traffic, 128K-token context window, and a grounded route that keeps setup, comparison, and review in one place.
Build with Nova Pro
Use Nova Pro in InsertChat for flagship capability, 300K-token context window, and a grounded route that keeps setup, comparison, and review in one place.
Build with o1
Use o1 in InsertChat for deliberate reasoning, 200K-token context window, and a grounded route that keeps setup, comparison, and review in one place.
Build with o3-deep-research
Use o3-deep-research in InsertChat for deliberate reasoning, 200K-token context window, and a grounded route that keeps setup, comparison, and review in one place.
Build with o3-mini
Use o3-mini in InsertChat for deliberate reasoning, 200K-token context window, and a grounded route that keeps setup, comparison, and review in one place.
Build with o3 Pro
Use o3 Pro in InsertChat for deliberate reasoning, 200K-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.