Model

Build with Nova Pro

Nova Pro works in one place with your files, tools, and rules.

7-day free trial · No charge during trial

Strengths

300K-token context windowBalanced production coverage8.2K max outputMid-range pricing

Also available

Nova LiteNova MicroNova 2 Lite
Context

Why use this model

See where this model fits into your setup.

Nova Pro should be evaluated as a route decision, not as a stand-alone benchmark trophy. Buyers usually arrive on this page because they want to know whether Nova Pro can own high-stakes escalations, executive research, or sensitive customer decisions without forcing the rest of the stack to change every time the model changes. The current Vercel listing was updated on 2024-12-03, which keeps the positioning tied to a dated catalog snapshot instead of stale launch copy.

Raw model access still leaves sources, permissions, fallback, and review disconnected. A raw API still makes the buyer connect knowledge sources, permission boundaries, fallback behavior, and answer review in separate places. That fragmentation is where a promising model demo turns into operator cleanup, especially once real traffic mixes easy work with expensive edge cases.

InsertChat keeps grounding, routing, and comparison inside the same assistant. Teams can keep one assistant, one grounding layer, and one measurement surface while they decide whether Nova Pro belongs on the default route, on a specialist escalation path, or only on the jobs where its trade-off clearly pays off. Nova Pro belongs on the hardest escalations, not on commodity traffic that does not need flagship depth.

Prepare the documents, tools, and fallback rules before launch. That means defining the documents, screenshots, files, and tool permissions, handoff rules, and review checkpoints before launch. If Nova Lite, Nova Micro, and Nova 2 Lite stay available in the same assistant setup, the team can compare quality, latency, spend, and operator effort without rebuilding the deployment for every model trial.

How it works

How it works

Getting started with Nova Pro in InsertChat.

1

Step 1

Start with the route where Nova Pro should earn its place. Choose the conversations or briefs that actually need flagship capability rather than giving the model the whole workload by default.

2

Step 2

Prepare the documents, tools, and fallback rules before launch. Connect the documents, screenshots, files, and tool permissions Nova Pro should trust before live traffic reaches the route.

3

Step 3

Configure prompts, tool permissions, fallback thresholds, and human review so Nova Pro is judged inside a real assistant workflow instead of as a raw completion endpoint.

4

Step 4

Compare Nova Pro with Nova Lite, Nova Micro, and Nova 2 Lite. Run the same grounded route through Nova Lite, Nova Micro, and Nova 2 Lite so the team can compare quality, latency, spend, and operator follow-up in one branded assistant setup.

Coverage

Why use this model

See where this model fits best.

badge 13

300K-token context window

Nova Pro gives assistants 300K-token context window and 8.2K max output, which matters when the route needs long chat history, policy packets, file context, or decision notes to stay visible at the same time. The point is not bigger numbers by themselves; the point is whether the model can keep the whole decision surface in scope before it answers.

badge 13

Amazon flagship capability

Nova Pro is positioned for flagship capability rather than generic catchall use. That makes it easier to assign the model to the right route, because the buyer can judge whether the model's real strength is speed, depth, code awareness, or creative generation before prompt sprawl hides the answer.

badge 13

Route-specific fit

Nova Pro belongs on the hardest escalations, not on commodity traffic that does not need flagship depth. That is why the model deserves a page focused on deployment fit rather than a vague list of capabilities.

badge 13

Mid-range pricing

Nova Pro is listed at $0.800 input and $3.20 output per 1M tokens, which lets the team decide whether it belongs on the default route, an escalation route, or only on the jobs where a slower or more expensive model clearly earns its keep. Pricing matters because routing discipline disappears fast when cost is not visible in the same place as answer quality.

Start building with Nova Pro today

7-day free trial · No charge during trial

Coverage

How to use it

See how to start with it.

badge 13

Ground the route first

Prepare the documents, tools, and fallback rules before launch. Attach the documents, screenshots, files, and tool permissions Nova Pro should trust before launch so the model does not invent its own context when the real route depends on current business material.

badge 13

Route by workload fit

Nova Pro belongs on the hardest escalations, not on commodity traffic that does not need flagship depth. The team should decide which requests stay with Nova Pro, which ones escalate away, and which thresholds switch to a cheaper or deeper tier instead of leaving those decisions buried inside prompt text.

badge 13

Compare live alternatives

Compare Nova Pro with Nova Lite, Nova Micro, and Nova 2 Lite. That lets operators compare quality, latency, spend, and operator follow-up in one branded assistant setup while keeping the same assistant, the same sources, and the same user surface.

badge 13

Catch bad-fit routes early

Nova Pro is a bad fit when the workload is repetitive support traffic and Nova Lite can answer within the same grounding rules with less latency and spend. Review those cases quickly after launch so the wrong model does not become habitual just because it was the first one connected.

Quick start

Go live in a few minutes

Add your content, set the assistant up, and put it to work.

1

Add knowledge sources

Connect URLs, files, YouTube, products, or S3-compatible storage.

2

Configure your agent

Pick a model, use prompt templates, and enable tools.

3

Deploy to channels

Launch a widget, embed in your app, or use the API.

Outcomes

What you get

These are the main things you should notice once it is live.

  • badge 13
    Maximum capability for critical decisions and complex tasks
  • badge 13
    Research-grade depth grounded in your sources
  • badge 13
    Complex reasoning backed by the largest context windows
  • badge 13
    Enterprise-grade outputs for high-stakes use cases
Trusted by businesses

What our users say

Businesses use InsertChat to launch branded assistants faster and keep their knowledge in one branded AI assistant.

Finally, one place for all my AI needs. The ability to switch models mid-conversation is game-changing.

SC

Sarah Chen

Product Designer, Figma

We deployed AI support in 20 minutes. Our response time dropped by 80%. Customers love it.

MW

Marcus Weber

Head of Support, Notion

The white-label option let us offer AI services to our clients overnight. Revenue grew 40% in Q1.

ER

Elena Rodriguez

Agency Founder, Digitale Studio

Nova Pro is included on every plan — pick the one that fits your team.

StarterProfessionalBusinessEnterprise
Questions & answers

Commonquestions

Open any question to see a short, plain answer.

Contact support
InsertChat

InsertChat

Product FAQ

InsertChat

Hey! 👋 Browsing Nova Pro in InsertChat questions. Tap any to get instant answers.

Just now
0 of 5 questions explored Instant replies

Nova Pro in InsertChat FAQ

What is Nova Pro best for in InsertChat?

Nova Pro is best for teams that need flagship capability with grounded sources, controlled tools, and a route that can be reviewed after launch. The useful question is not whether the model looks strong in isolation. The useful question is whether it improves the specific route you assign to it once real conversations start mixing easy work with expensive edge cases.

How does Nova Pro compare with Nova Lite in InsertChat?

Compare Nova Pro with Nova Lite, Nova Micro, and Nova 2 Lite. InsertChat keeps the assistant, knowledge layer, and routing rules stable while the team runs the same route through Nova Pro and Nova Lite. That means the comparison shows up in latency, answer quality, spend, and operator cleanup instead of staying trapped in disconnected prompt tests.

When is Nova Pro a bad fit?

Nova Pro is a bad fit when the workload is repetitive support traffic and Nova Lite can answer within the same grounding rules with less latency and spend. That is why teams should keep a fallback or comparison route in place. A strong deployment decides where the model stops before the first launch demo turns into default policy.

What should teams configure before launching Nova Pro?

Prepare the documents, tools, and fallback rules before launch. Teams should also define the fallback path, the approval loop, and the escalation threshold before traffic arrives, because that is what turns a model capability into an operable route rather than another tool someone only trusts during demos.

Can teams switch away from Nova Pro later without rebuilding the assistant?

InsertChat keeps grounding, routing, and comparison inside the same assistant. Teams can move between Nova Pro, Nova Lite, and Nova Micro without rebuilding the whole experience, which matters because the right model choice changes as traffic mix, cost targets, and quality requirements change.

Ready to build with Nova Pro?

Start your 7-day free trial. No charge during trial.

7-day free trial · No charge during trial

Content
badge 13Website pages
·
badge 13Documents
·
badge 13Videos
·
badge 13Resource libraries
·
badge 13Website pages
·
badge 13Documents
·
badge 13Videos
·
badge 13Resource libraries
·
badge 13Website pages
·
badge 13Documents
·
badge 13Videos
·
badge 13Resource libraries
·
badge 13Website pages
·
badge 13Documents
·
badge 13Videos
·
badge 13Resource libraries
·
badge 13Website pages
·
badge 13Documents
·
badge 13Videos
·
badge 13Resource libraries
·
badge 13Website pages
·
badge 13Documents
·
badge 13Videos
·
badge 13Resource libraries
·
Brand
badge 13Logo and colors
·
badge 13Assistant tone
·
badge 13Custom domain
·
badge 13Logo and colors
·
badge 13Assistant tone
·
badge 13Custom domain
·
badge 13Logo and colors
·
badge 13Assistant tone
·
badge 13Custom domain
·
badge 13Logo and colors
·
badge 13Assistant tone
·
badge 13Custom domain
·
badge 13Logo and colors
·
badge 13Assistant tone
·
badge 13Custom domain
·
badge 13Logo and colors
·
badge 13Assistant tone
·
badge 13Custom domain
·
Launch
badge 13Website widget
·
badge 13Full-page assistant
·
badge 13Lead capture
·
badge 13Human handoff
·
badge 13Website widget
·
badge 13Full-page assistant
·
badge 13Lead capture
·
badge 13Human handoff
·
badge 13Website widget
·
badge 13Full-page assistant
·
badge 13Lead capture
·
badge 13Human handoff
·
badge 13Website widget
·
badge 13Full-page assistant
·
badge 13Lead capture
·
badge 13Human handoff
·
badge 13Website widget
·
badge 13Full-page assistant
·
badge 13Lead capture
·
badge 13Human handoff
·
badge 13Website widget
·
badge 13Full-page assistant
·
badge 13Lead capture
·
badge 13Human handoff
·
Learn
badge 13Top questions
·
badge 13Content gaps
·
badge 13Source usage
·
badge 13Lead quality
·
badge 13Conversation quality
·
badge 13Top questions
·
badge 13Content gaps
·
badge 13Source usage
·
badge 13Lead quality
·
badge 13Conversation quality
·
badge 13Top questions
·
badge 13Content gaps
·
badge 13Source usage
·
badge 13Lead quality
·
badge 13Conversation quality
·
badge 13Top questions
·
badge 13Content gaps
·
badge 13Source usage
·
badge 13Lead quality
·
badge 13Conversation quality
·
badge 13Top questions
·
badge 13Content gaps
·
badge 13Source usage
·
badge 13Lead quality
·
badge 13Conversation quality
·
badge 13Top questions
·
badge 13Content gaps
·
badge 13Source usage
·
badge 13Lead quality
·
badge 13Conversation quality
·
Models
OpenAI model providerOpenAI models
·
Anthropic model providerAnthropic models
·
Google model providerGoogle models
·
Open model providerOpen models
·
xAI Grok model providerGrok models
·
DeepSeek model providerDeepSeek models
·
Alibaba Qwen model providerQwen models
·
badge 13GLM models
·
OpenAI model providerOpenAI models
·
Anthropic model providerAnthropic models
·
Google model providerGoogle models
·
Open model providerOpen models
·
xAI Grok model providerGrok models
·
DeepSeek model providerDeepSeek models
·
Alibaba Qwen model providerQwen models
·
badge 13GLM models
·
OpenAI model providerOpenAI models
·
Anthropic model providerAnthropic models
·
Google model providerGoogle models
·
Open model providerOpen models
·
xAI Grok model providerGrok models
·
DeepSeek model providerDeepSeek models
·
Alibaba Qwen model providerQwen models
·
badge 13GLM models
·
OpenAI model providerOpenAI models
·
Anthropic model providerAnthropic models
·
Google model providerGoogle models
·
Open model providerOpen models
·
xAI Grok model providerGrok models
·
DeepSeek model providerDeepSeek models
·
Alibaba Qwen model providerQwen models
·
badge 13GLM models
·
OpenAI model providerOpenAI models
·
Anthropic model providerAnthropic models
·
Google model providerGoogle models
·
Open model providerOpen models
·
xAI Grok model providerGrok models
·
DeepSeek model providerDeepSeek models
·
Alibaba Qwen model providerQwen models
·
badge 13GLM models
·
OpenAI model providerOpenAI models
·
Anthropic model providerAnthropic models
·
Google model providerGoogle models
·
Open model providerOpen models
·
xAI Grok model providerGrok models
·
DeepSeek model providerDeepSeek models
·
Alibaba Qwen model providerQwen models
·
badge 13GLM models
·
InsertChat

Branded AI assistants for content-rich websites.

© 2026 InsertChat. All rights reserved.

All systems operational