GoldieBench Blog · 6 min read
Grok Bot Linux + Which AI Models To Pair With It, With Real GoldieBench Scores
The Linux app routes its own models, so this page scores the ones you run next to it: cloud planners and checkers, plus the local models that carry over to Linux.

Grok Bot Linux doesn't let you pick a model, so the GoldieBench scores that matter are for the models you run next to it on the same Linux machine: a planner for your briefs, a checker for the results, and a local model for work that should stay offline.
The Grok Bot FAQ says there's no model picker; Grok Bot chooses the backend model for each task, and that choice can change from one request to the next.
Every GoldieBench number on this page was read from the live goldiebench.com pages on 2 November 2026, with the page named each time.
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Your Linux machine runs the client, the cloud runs the model
The deployment docs describe the desktop app as a client for chat, review and approvals.
The Bots do their work on a hosted computer that runs Linux in the cloud.
So an Arm64 laptop and an x64 workstation get the same Grok Bot behind the window; the CPU only decides whether you install the x64 or Arm64 .deb, .rpm or AppImage.
Your hardware matters for the models you run locally beside it, and that's where the bench is useful.
How to read a GoldieBench score for this job
The methodology page sets the rules: one fixed prompt per task, one shot, a single self-contained HTML file out, and a 0–10 score.
That rewards models that plan well and finish a build in a single pass.
It doesn't test screen control, browser automation or anything a Bot does on its computer.
Use the scores to choose the model that writes your Bot briefs and reviews what comes back, not to guess which model Grok Bot routes to.
The top of the board on 2 November
These rows come from the GoldieBench home leaderboard.
| Rank | Model | Avg /10 | Tasks |
|---|---|---|---|
| #1 | Fusion (OpenRouter) | 8.59 | 47 |
| #2 | Claude Opus 5 | 8.27 | 50 |
| #3 | Hermes MoA | 8.17 | 47 |
| #4 | GPT-5.6 Sol | 8.16 | 50 |
| #7 | Grok (xAI) | 8.09 | 47, with 43 scored |
| #8 | MiniMax M3 | 7.97 | 47 |
| #10 | Kimi K3 | 7.89 | 50 |
The gap between #1 and #7 is half a point.
Medals tell a different story from averages: Fusion holds 21 golds, Grok holds 5, and Claude Opus 5 holds 13, per the same leaderboard.
A model that wins outright on many tasks is a good sign for a planner, because briefs reward ambition.
For brief-writing and checking, any model in that band is strong; pick on context window and how you already pay for access.
Where Grok itself lands
The Grok model page lists an 8.09/10 average across 47 tasks, 5 gold, 1 silver and 1 bronze medals, and a 256,000-token context.
Its five gold-medal tasks include Twilightvale at 9.5, plus Game, RPG, Landing and WebOS at 9.0 each.
The Grok 4.7 page shows 7.15/10 across 20 tasks, 0 gold, 2 silver and 3 bronze, with a 500,000-token context.
Its benchmark deep dive puts it at #18 of 26 ranked frontier models, with data refreshed 27 October 2026.
These are the closest the bench gets to the brand on your Linux taskbar, but remember the FAQ: Grok Bot may route a task to a first-party or third-party model.
Pick a planner for your Bot briefs
A planner turns a vague job into a clear brief before you hand it to a Bot.
- Claude Opus 5, 8.27 over 50 tasks. The deepest coverage near the top of the home board, which makes it a safe default planner.
- Fusion, 8.59 over 47 tasks. The top score on the board, with 21 gold medals on the home leaderboard.
- Hermes MoA, 8.17. The models page describes it as a panel of frontier models merged by a chair, which suits a planning step where you want more than one view.
Keep the planner in your local agent and paste its brief into Grok Bot, or dictate it with Ctrl+D, the Linux dictation shortcut in the changelog.
Pick a checker for what comes back
A checker reads the Bot's result against the brief.
Use a different model from the planner so the review isn't marking its own homework.
GPT-5.6 Sol, at 8.16 over 50 tasks on the home board, is a strong pick next to an Anthropic planner.
For long reports, MiniMax M3 at 7.97 lists a 1,048,576-token context window on the leaderboard, the biggest figure in that top-ten view.
Kimi K3 sits at 7.89, and the models page lists a 1M context for it.
Local models on a Linux box: what carries over
The local models page ranks strictly on-device models, and it says the bench ran them on macOS.
| Model | Runner on the page | Size | Avg /10 |
|---|---|---|---|
| Qwable 5 27B Coder | Apple MLX | 15.0GB | 7.14 |
| Agents-A1 | Ollama | 21.0GB | 4.83 |
| Gemma-4 12B Coder | Ollama | 7.4GB | 4.25 |
| Qwythos 9B | Ollama | 5.6GB | 2.98 |
| Ornith 1.0 | Ollama | 9.5GB | pending |
The top local score comes from an Apple MLX runner, so it isn't a Linux pick as benched.
The Ollama rows are the ones to look at, because Ollama publishes a Linux installer.
The bench didn't score them on Linux, so treat the numbers as a ranking between those models, not a promise of the same result on your hardware.
Agents-A1 leads the Ollama group at 4.83, well behind every cloud model above, so keep local models for private drafts and rough sorting, not final checks.
Keep the Linux client current so the pairing keeps working
None of this helps if the Grok Bot window is locked.
The troubleshooting page gives the cut-off for Update required: 14 days, provided a newer build has shipped.
On .deb and .rpm installs the app leaves updates to the package manager:
sudo apt update && sudo apt install --only-upgrade grok-bot # Debian, Ubuntu
sudo dnf upgrade --refresh grok-bot # Fedora, RPM
The AppImage checks for updates on its own and offers Restart to Update.
Recent Linux fixes help too: V0.70.2, dated 11 October in the changelog, stops a visible notification from freezing the window or blocking a clean quit.
A three-model setup for Grok Bot on Linux
- Planner: Claude Opus 5 or Fusion writes the brief.
- Grok Bot: does the job on its cloud computer while you approve the steps that matter.
- Checker: GPT-5.6 Sol or MiniMax M3 reviews the result against the brief.
Add an Ollama model for anything you'd rather keep on the machine.
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If you also run a Mac, the model picks there differ because MLX models come into play; our Grok Bot Mac model guide covers that side.
Plan-wise, Premium, Super and Ultra on The X Subscription include Grok Bot, and Plus doesn't, per the plan page.
The full Agent OS that wires planners and checkers together lives inside the AI Profit Boardroom.
Also On Our Network
- Agent Operatorsthe seven-step install, from picking .deb or .rpm to apt-mark hold
- AI Income Deskwhether a small business on Ubuntu or Fedora PCs should roll it out
- AI Tool Verdicta scored verdict on Linux install, update control and feature gaps
- agentos.guidefive Agent OS prompts that install, hold and upgrade the Linux app
- aiprofitboardroom.comthe complete Grok Bot Linux guide on the AI Profit Boardroom blog
Pick one planner and one checker from the tables, run them around your next Bot job, and join the AI Profit Boardroom to get the Agent OS that ties them to grok bot linux.
FAQ
Can I choose the model Grok Bot uses on Linux?
No. The FAQ says there is no model picker; Grok Bot picks the backend model for each task, and it can differ between requests.
What does Grok score on GoldieBench?
The Grok model page shows 8.09/10 across 47 tasks with a 256,000-token context. Grok 4.7 shows 7.15/10 across 20 tasks.
Which local GoldieBench models work on Linux?
Look at the Ollama rows on the local models page, led by Agents-A1 at 4.83. The top local model, Qwable 5 27B Coder, was benched on Apple MLX.
Does my Linux hardware change how good Grok Bot is?
No. The desktop app is a client, and the Bots work on a hosted cloud computer, so x64 and Arm64 machines get the same Bot.


