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GoldieBench Blog · 6 min read

Grok Bot For Ecommerce + Which AI Models To Pair With It: Live GoldieBench Pages Scores For Store Landing Pages And Dashboards

GoldieBench scores the models around your store Bot, not the one inside it; here is how to read the Pages and Visuals tabs for shop work.

Illustrated benchmark leaderboard with gold score bars beside a shop storefront, a stack of parcels and a product page wireframe feeding a glowing cloud assistant

Grok Bot for ecommerce picks its own model for each request, so the benchmark question for a store owner is a different one: which model should build the pages and reports from the data the Bot collects?

This page reads the live GoldieBench leaderboard on 7 November 2026 and explains what its scores can and can't tell a shop.

Grok Bot facts come from xAI's security page, the computer and apps docs and the changelog; every score is quoted from the GoldieBench page it sits on.

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Grok Bot has no model picker, so pair around it

xAI's security page says Grok Bot manages model selection and that customers get no model picker.

It also says the serving mix can change over time.

xAI doesn't say which model answers a given request, and neither do we.

So no score on GoldieBench is a Grok Bot score.

What the board can help with is the rest of a store owner's stack: the model in your Agent OS that turns the Bot's rival sheet or order export into a landing page, a product page draft or a dashboard.

What GoldieBench tests, and what that means for a shop

The methodology page gives every model the same fixed prompt, one shot, and the result must be a single self-contained HTML file.

Each result gets Julian's own 0 to 10 score, and a model's rank is its average across the tasks it was scored on.

The task set is games, visuals, simulations and web pages.

The web-page group is the one closest to store work: the leaderboard describes it as landing pages and UIs.

Nothing on the bench tests product copy accuracy, price data, stock counts or how a reply to an angry customer reads.

Use the scores to choose a page builder, never to judge whether numbers in a report are right.

The overall leaderboard, read 7 November 2026

From the main board at goldiebench.com, top eight by average score:

RankModelAvg / 10Tasks scored
1Fusion8.5947 of 47
2Claude Opus 58.2750 of 50
3Hermes MoA8.1747 of 47
4GPT-5.6 Sol8.1650 of 50
5Claude Fable 58.1047 of 47
6Qwen 3.88.1045 of 45
7Grok8.0943 of 47
8MiniMax M37.9747 of 47

The gaps near the top are small: four models sit between 8.09 and 8.17.

For a shop, that means the category score below matters more than the overall rank.

Pages scores: the closest test to store work

Switch the board to its Pages tab and the order changes. Pages averages, read 7 November 2026:

ModelPages avg / 10Overall avg
Fusion8.508.59
Claude Opus 58.478.27
GPT-5.6 Sol8.478.16
Qwen 3.88.408.10
Grok8.338.09
MiMo-V2.6 Pro8.206.35
MiniMax M38.177.97
Muse Spark 1.28.177.55
Gemini 3.6 Flash8.137.08

The Pages group has only three tasks, so one weak build moves a model a long way.

Notice MiMo-V2.6 Pro and Gemini 3.6 Flash: middling overall, close to the leaders on pages.

If your Agent OS mostly builds landing pages and dashboards for the shop, shortlist from this table, then run your own test page.

Visuals scores, for product showcases

A shop selling something visual, such as prints, lighting or furniture, may want an interactive showcase rather than a plain page.

The Visuals tab covers shaders, graphics and generative art across nine tasks. Top scores read 7 November 2026: Claude Opus 5 8.52, Hermes MoA 8.44, Fusion 8.22, Fugu Ultra 8.22, Claude Fable 5 8.11 and Kimi K3 8.10.

Treat these as a hint for flashy product demos, not for checkout pages.

Three store pairings, step by step

A print shop's new-range landing page

  1. Grok Bot reads the supplier spec files and drafts the copy in a Google Doc.
  2. The owner approves the copy.
  3. A Pages leader from the table builds the landing page as one HTML file in the Agent OS.
  4. The owner checks it on a phone before it goes live.

A tea shop's rival dashboard

  1. A Monday routine in Grok Bot fills the rival sheet from the browser.
  2. The Agent OS model turns the sheet into a filterable page.
  3. The owner reads it and decides what to change.

A furniture maker's product showcase

  1. Grok Bot gathers dimensions and finishes from the maker's files.
  2. A Visuals leader builds an interactive viewer page.
  3. The maker tests it, then embeds it on the product page.

In each case the Bot gathers and drafts, a chosen model builds, and a person approves.

Why the Grok row isn't a Grok Bot score

The Grok row on GoldieBench is the xAI model benched through the same one-shot prompts as everyone else.

Grok Bot is a different thing: an agent that works on a cloud computer, where all of your Bots share one machine and each Bot gets its own screen.

That computer runs in Cursor's cloud, per the private networks page.

Its results depend on the browser, your connected apps, your Vault and your approval rules, none of which the bench measures.

A conflict in Grok's status on GoldieBench

The live leaderboard ranks Grok seventh at 8.09, with 43 of 47 tasks scored.

The Grok model page still says its demos have zero curated verdicts and calls it unranked, and the methodology page lists Grok as unranked too.

Use the dated leaderboard row, and treat the older notes as out of date.

Let Grok Bot collect, let your model build

For a store, Grok Bot's strength is the legwork: rival pages in its browser, supplier files, the order inbox and supply orders.

Product cards, Buy now with your approval and order tracking arrived in v0.78.1 on 27 October 2026, documented only in the changelog.

The docs name no store-platform connector, so the Bot works in your shop dashboard through its browser.

That split keeps the benchmark where it's useful: picking the builder for the page, not the agent for the errands.

For the buying side of Grok Bot, see our Grok Bot shopping breakdown.

What the scores won't tell you

  • Whether product claims match the supplier's spec sheet.
  • Whether prices or stock numbers in a report are current.
  • How well a customer reply reads.
  • How a model behaves inside Grok Bot, which picks its own.

For those, ask the Bot to separate facts from assumptions and link its sources, as the files and results docs suggest, and check the result yourself.

The AI Profit Boardroom has four coaching calls a week, so bring your shortlist to one.

Also On Our Network

Shortlist a page builder from the dated Pages table, keep the Bot on errands, and join the AI Profit Boardroom to pair the right model with Grok Bot for ecommerce.

FAQ

Which model does Grok Bot use for store tasks?

xAI doesn't say. Its security page says Grok Bot manages model selection and offers no customer-facing model picker.

Which models lead the Pages tab?

Read 7 November 2026: Fusion 8.50, Claude Opus 5 and GPT-5.6 Sol 8.47, Qwen 3.8 8.40 and Grok 8.33.

Does GoldieBench test product copy or price accuracy?

No. It scores one-shot single-file HTML builds across games, visuals, simulations and pages.

How many tasks are in the Pages group?

Three, so a single build can move a model a long way. Test your own page before you commit.

Is Grok ranked or unranked on GoldieBench?

The live leaderboard ranks it seventh at 8.09 with 43 of 47 tasks scored, while its model page and the methodology page still call it unranked.

The same stack Julian uses

Run this stack yourself.

Every demo on this bench was built inside the Agent Operating System — one prompt, one shot, single HTML file out. The Agent OS, the prompts, the templates, the weekly walkthroughs and 3,400+ founders shipping with it every day all live inside the AI Profit Boardroom.

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