Grok Bot Computer Use: Which AI Models To Pair With It, And What The GoldieBench Scores Mean When You Can't Pick The Model

Grok Bot computer use doesn't let you pick the model that drives its screen, so the useful question is which models you pair around it for planning, checking and long runs.

xAI's FAQ says there's no model picker and Grok Bot chooses the backend model for each task, which can change between requests (Grok Bot FAQ).

Every GoldieBench score on this page was read from the live goldiebench.com pages on 31 October 2026, and each one names the page it came from.

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You can't route Grok Bot to a model, and that changes how you use the bench

The FAQ says the routed model can be a first-party SpaceXSI model or a third-party model from a provider on Cursor's sub-processor list.

Grok Bot doesn't show which model handled a request.

The same FAQ names one example: routing a task to Opus 5.5 doesn't change what it costs you per token.

So use GoldieBench for the models you control: the planner that writes the Bot's brief, the checker that reads its output, and the agent that runs your local jobs.

What a GoldieBench score measures for this job

The methodology page says every demo is one prompt, one shot, single HTML file out, scored 0 to 10.

It measures whether a model can ship a working thing in one go: a game, a simulation, a page.

It isn't a screen-control test.

Read the scores as a signal of how well a model plans and builds in one pass, which is what you want from the model writing your Bot's briefs and skills.

The Grok scores on the bench

On the Grok model page, Grok shows an 8.09/10 average across 47 tasks, with 5 gold, 1 silver and 1 bronze medal and a 256,000-token context.

The GoldieBench home leaderboard lists Grok at #7, with 43 of 47 tasks scored.

The Grok 4.7 page shows 7.15/10 across 20 tasks, with 0 gold, 2 silver and 3 bronze, and a 500,000-token context.

The Grok 4.7 deep dive puts it at board rank #18 of 26 ranked frontier models.

None of that tells you which model Grok Bot routes a given screen task to.

Grok 4.7's agent-side numbers, and the weak spot

The Grok 4.7 page lists outside reference benchmarks it sources to x.ai: DeepSWE v1.1 (high effort) at 71.0%, CursorBench 4.0 at 46.3% and Terminal-Bench 4.0 at 38.0%.

It also lists an Artificial Analysis Intelligence Index v4.3.2 score of 46.

The page calls Terminal-Bench 4.0 the weak spot xAI reports itself.

For computer use, terminal and long-task numbers matter more than game builds, so weigh those three first.

Claude Opus 5.5: the one model the Grok Bot FAQ names

On the Claude Opus 5.5 page, it averages 7.57/10 across 50 tasks with a 1,000,000-token context.

The same page says all 50 one-shot builds rendered with zero console errors.

Since the Grok Bot FAQ uses Opus 5.5 as its routing example, it's a sensible model to plan with in your own stack when you want your briefs and Grok Bot's work to think alike.

For planning the Bot's job: Claude Opus 5 or GPT-5.6 Sol

The Claude Opus 5 page shows 8.27/10 across 50 tasks with 13 gold medals.

The GPT-5.6 Sol page shows 8.16/10 across 50 tasks with 2 gold, 9 silver and 10 bronze.

Both are top-four on the home leaderboard.

Use either to write the brief, the Ask first rules and the skill improvements you hand to Grok Bot.

For checking what the Bot read: watch prompt-injection defence

A Bot on a browser reads text from pages it didn't write.

xAI's approvals docs say text from an email or a web page doesn't count as your request.

The GPT-5.6 Sol page lists a prompt-injection defence score of 0.910, up from 0.697, as an outside reference benchmark.

That makes Sol a strong pick for the model that reviews a Bot's summary before you act on it.

For long unattended runs: Kimi K3

The Kimi K3 page shows 7.89/10 across 50 tasks, with 8 gold, 3 silver and 7 bronze, and a 1,048,576-token context.

Its tagline on the bench is tuned for long-horizon agent work.

Use it locally for long jobs that pair with what Grok Bot does in the cloud, such as merging a week of Bot summaries.

For a second opinion on the output: Hermes MoA

The Hermes MoA page shows 8.17/10 across 47 tasks, #3 on the home leaderboard.

It sends one prompt to a panel of models and has an aggregator write one final answer.

That's a good fit for cross-checking a Bot's report before it goes to a client.

A pairing table for Grok Bot computer use

How to read a gap between two scores

A few tenths on the home leaderboard is a small gap.

Opus 5 at 8.27 and GPT-5.6 Sol at 8.16 sit close enough that the better pick is the one your stack already runs well.

A gap of a full point or more, like Opus 5 against Grok 4.7's 7.15, is worth acting on when you choose a planner.

Medal counts tell you something different: how often a model wins a task outright, not how steady it is across all of them.

For writing Bot briefs, steadiness matters more than outright wins, so lean on the average.

Here's the simplest stack that uses these scores.

Your planner writes the brief and the Ask first rules.

Grok Bot runs the job on its own screen, with you watching the first run.

Your checker reads the Bot's summary and flags anything that came from a web page rather than from you.

The installable Agent OS inside the AI Profit Boardroom is set up for exactly this kind of loop.

What the Bot itself brings, whatever the model

The computer and apps docs describe a persistent cloud computer where each Bot gets its own screen and runs one computer-use task at a time.

The Grok Bot changelog lists a 1920 × 1200 screen from v0.68.1 and character-by-character typing with mouse movement from v0.78.1.

Those are product features, not model scores, and they apply whichever model Grok Bot picks.

Pick your planner and checker from the table, run one watched job, and compare the result; for the full model stack and walkthroughs, the AI Profit Boardroom has it ready.

Also On Our Network

• Agent Operatorsthe eight-step operator setup for Grok Bot's shared cloud screen
• AI Income Deskwhether grok bot's cloud computer pays off for shops, service firms and agencies
• AI Tool Verdicta ten-criteria scorecard rating grok bot's cloud computer from the docs
• agentos.guidefive copy-paste prompts for running grok bot's cloud screen from your agent os
• aiprofitboardroom.comthe complete Grok Bot Computer Use guide on the AI Profit Boardroom blog

Choose one planner and one checker from the table and run them around your next watched job, because that's where the scores pay off for grok bot computer use; for a free plan, book a strategy session with my team.