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Amazon · Chat model

Nova Pro for customer support

Yes – Nova Pro’s large context window lets it handle long customer support threads without losing track of details.

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Take a tour of the product

The model at a glance

The facts, from the source.

Context window

300K tokens

Max reply

8K tokens

Input price

$0.80 / M

Output price

$3.20 / M

Accepts

text, image, video

Tools & actions

Yes

Knowledge cutoff

2024-10

Availability

Proprietary

Verified against the provider.

Where it fits

Nova Pro across support workflows

How well the model suits each job – grounded in what it can really do, not hype.

Workflow
Fit
Why
Customer support chat
Yes
Nova Pro’s large context window handles long conversations with full customer history.
FAQ automation
Yes
Answers from your docs – no made-up responses.
Order tracking
Conditional
Works if order data is in your docs.
Returns & refunds
Conditional
Needs access to your return policies and processes.
Onboarding
Yes
Guides users step-by-step with your content.
Human handoff
Yes
Seamless context transfer to human agents.
Multilingual support
No
Nova Pro lacks native multilingual capabilities.

Why this matters

What breaks when you run Nova Pro raw

But in production, how the AI retrieves answers from your content and hands off to humans matters more than raw intelligence.

Wrong answers. It confidently makes up details your product doesn’t have.

Stale info. It can’t update answers when policies or features change.

No context. It doesn’t see the customer’s account or order details.

Inconsistent. It gives different answers to the same question.

Off-topic. It drifts from your brand voice in long chats.

No handoff. It can’t pass the chat to a human when needed.

The Chatref way

The model is one layer. Grounding is the rest.

Grounded answers – AI uses your own content to answer questions, not generic web searches.
Citations included – Every answer links back to the source in your docs, so customers trust it.
Human handoff – When AI hits its limits, a human takes over with full context.
Lead capture – Chatref collects emails and tags conversations for your sales team.

The AI is just one layer – grounding, retrieval, and escalation decide if it works for your business.

If you're deploying AI for customer-facing workflows, the model is only one layer – grounding, retrieval quality, escalation logic and knowledge orchestration usually decide whether it works in production.

FAQ

Nova Pro for support: questions, answered.

Still deciding? Talk to our team.

Can you use Nova Pro for customer support?

Yes – Nova Pro’s large context window lets it handle long customer support threads without losing track of details.

What is Nova Pro's context window?

Nova Pro can hold up to 300K tokens of context in one conversation.

How much does Nova Pro cost?

Nova Pro costs $0.80 per million input tokens and $3.20 per million output tokens.

What inputs does Nova Pro accept?

Nova Pro accepts text and image and video.

Does Nova Pro support tools and actions?

Yes – Nova Pro can call tools, so it can look things up and complete tasks during a chat.

Is Nova Pro open-weight?

No – Nova Pro is proprietary and runs through its provider.

What is Nova Pro's knowledge cutoff?

Nova Pro's built-in knowledge runs to 2024-10. For anything newer it needs your live content.

Will Nova Pro make up answers in support?

On its own it can. It confidently makes up details your product doesn’t have. A grounding layer keeps every answer tied to your real content.

What does Nova Pro need to work in customer support?

The AI is just one layer – grounding, retrieval, and escalation decide if it works for your business.

How does Chatref use models like Nova Pro?

Chatref wraps the model in a grounded layer – it answers from your own content, shows where each answer came from, and hands the chat to your team when needed.