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# Notion 3.4 makes Custom Agents 35-50% cheaper (April 2026)
- URL: https://www.theaidirectory.com.au/news-notion-3-4-cheaper-agents-australia/
- Published: 2026-04-13T23:00:00.000Z
- Updated: 2026-10-09T06:46:04.000Z
- Description: Notion 3.4 Part 2 cuts the cost of running Custom Agents by 35-50% and adds cheaper model options — easing the credit meter that arrived for Business and Enterprise plans.
- Author: Adam
- Tags: News, Productivity & Workflow, Notion AI, #news

## What changed

Notion shipped 3.4 Part 2 today, and the headline is a price cut. **Custom Agents now cost 35-50% less to run.**

The saving comes from cheaper model options. Notion has added GPT-5.4 Mini and Nano, Claude Haiku 4.5, and MiniMax M2.5 to the list of models an agent can use. Pick a lighter model for routine work and the same task burns fewer credits.

Three other things landed alongside it. The Salesforce and Box AI Connectors are now generally available, so agents can read and act on data in those tools. New Agent Skills cover Calendar, Mail and Slack — letting an agent check a diary, draft an email or post a message as a step in a workflow. And Notion says page rendering is 28% faster, which you will feel most in large, busy workspaces.

Nothing here changes what Custom Agents *do*. It changes what they cost and how far they reach.

## What it means for Australians

Custom Agents have run on free credits since they reached general availability, but Notion has flagged that Business and Enterprise plans will move to paid credit metering — so a 35-50% cost cut lands at a useful moment. Notion's metered rate is US$10 per 1,000 credits. That is roughly **A$14 per 1,000 ex-GST** (US$10 × 1.40 = A$14). Trim an agent's credit use by 40% and a workflow that would cost A$14 a thousand sits nearer A$10.

The cheaper models are the lever. A Custom Agent that tidies a database or sorts incoming notes does not need a frontier model — point it at GPT-5.4 Nano or Claude Haiku 4.5 and the bill falls without the output suffering much. Save the heavyweight models for agents doing genuinely hard reasoning.

The new connectors and Skills are the part to watch on the spend side. An agent that can now reach Salesforce, Box, your calendar, mail and Slack is more useful — and busier. More steps mean more credits. The cost cut buys back some headroom; an agent that quietly grows chattier can spend it again.

Standing caveat: Notion's Australian workspaces are still hosted offshore, so an agent reading mail or Salesforce records is a data-residency decision as much as a cost one.

## Does it change our recommendation?

No — but it makes the advice easier to follow. Our standing line on Custom Agents is simple: build one useful agent, then measure its credit burn before you scale. Cheaper models make that measurement friendlier. Run your agents on the lightest model that does the job, check the burn rate after a fortnight, and only reach for a pricier model when the work demands it. See our [methodology](https://www.theaidirectory.com.au/methodology/) for how we weigh cost and Australian fit.

## Frequently asked questions

### What changed in Notion 3.4 Part 2?

Custom Agents now cost 35-50% less to run, thanks to cheaper model options like GPT-5.4 Mini and Nano, Claude Haiku 4.5 and MiniMax M2.5\. It also adds Salesforce and Box connectors, Calendar/Mail/Slack Agent Skills, and 28% faster page rendering.

### Does this affect Australian pricing?

Yes, for the better. Notion meters Custom Agents at US$10 per 1,000 credits — roughly A$14 per 1,000 with GST. A 40% cut on credit use drops a A$14 workflow nearer A$10\. Pricing stays in USD, so check GST treatment on your invoice.

### Does it change our recommendation?

No. Build one useful agent, run it on the lightest model that does the job, then measure its credit burn before scaling. The cost cut just makes that easier. Note Australian workspaces remain hosted offshore — a data-residency call, not only a cost one.

## Sources

- Notion — 3.4 release notes (14 April 2026): https://www.notion.com/releases/2026-04-14 (Primary, checked 14 April 2026)
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