GoldieBench Blog · 6 min read
Grok Bot vs n8n: Which AI Models To Run In Each One, What The GoldieBench Scores Mean, And How To Pair Them
n8n lets you choose a model for every AI step. Grok Bot doesn't. Here's what the GoldieBench numbers mean for each.

Grok Bot vs n8n splits sharply on models: n8n lets you choose the chat model behind every AI Agent node, while Grok Bot picks a model for each task itself and gives you no picker.
So a benchmark helps you in n8n and only tells you about the field in Grok Bot.
Below I map the GoldieBench scores that matter to each side, quote each one with the page I read it on, on 5 November 2026, and suggest a pairing.
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How n8n handles model choice
An n8n AI Agent node won't run without two things attached: a chat model and a minimum of one tool.
n8n's repository README lists OpenAI, Anthropic, Google and open-source models, and says you can switch provider without rebuilding the workflow.
On n8n Cloud, supported models can run on Gateway credits instead of your own API key, per the credentials guide.
Because the model is a setting, you can run a strong model on the hard step and a light one on a simple sorting step in the same workflow.
That's where benchmark scores earn their keep.
How Grok Bot handles model choice
The Grok Bot FAQ says there's no model picker and the model behind a request can change from one task to the next.
Grok Bot doesn't display which model answered.
So no score on this site maps cleanly to a Grok Bot run.
What you do control is the job, the skill, the routine and the approval rules, all set out in the skills and routines docs.
The GoldieBench scores that matter here
| Model | Average | Tasks | Medals (gold/silver/bronze) | Page read |
|---|---|---|---|---|
| Claude Opus 5 | 8.27/10 | 50 | 13 / 7 / 5 | /models/opus5 |
| GPT-5.6 Sol | 8.16/10 | 50 | 2 / 9 / 10 | /models/gpt56 |
| Claude Fable 5 | 8.10/10 | 47 | 4 / 2 / 1 | /models/fable-5 |
| Grok | 8.09/10 | 47 demos, 43 scored | 5 / 1 / 1 | /models/grok |
| Claude Opus 5.5 | 7.57/10 | 50 | 0 / 0 / 1 | /models/opus55 |
| Gemini 3.6 Flash | 7.08/10 | 50 | 1 / 2 / 1 | /models/gemini36 |
Every number is a one-shot score: one fixed prompt, one try, one self-contained HTML file, judged 0 to 10, as the methodology page explains.
None of them measures tool calling, approvals or workflow runs.
Anthropic models for the hard n8n step
Claude Opus 5 tops this group at 8.27/10 over 50 tasks, with 13 golds.
Its page lists hardest agentic builds and whole-repo reasoning among its best uses.
Claude Fable 5 sits at 8.10/10 over 47 tasks, and its page notes the showcase scores used scaffolded prompts, with a bare one-shot landing at 7.72.
Claude Opus 5.5 averages 7.57/10 across 50 tasks, below both, on Julian's own bench.
For an n8n AI Agent node that must reason over a long document, such as a contract summary, the Opus 5 numbers make it the first Anthropic model I'd try.
GPT-5.6 Sol for a steady all-rounder
GPT-5.6 Sol averages 8.16/10 over 50 tasks, with 2 golds, 9 silvers and 10 bronzes.
Twenty-one medals across 50 tasks points to range rather than a few spikes.
The page describes Sol as the flagship slot in a routed stack, with lighter tiers handling the everyday load.
In n8n that maps neatly: Sol on the agent node that drafts the answer, a lighter model on the node that only tags or sorts.
Gemini 3.6 Flash for the high-volume lane
Gemini 3.6 Flash scores 7.08/10 across 50 tasks, with 1 gold, 2 silvers and 1 bronze.
Its page calls it a Flash tier, not a flagship, and points it at high-volume agentic work and routing the everyday load.
That's the profile for an n8n node that runs on every incoming form or email and only needs to classify it.
Keep the reasoning-heavy step on a stronger model.
What the Grok score tells a Grok Bot user
The Grok page shows 8.09/10 across 43 scored tasks out of 47 demos, with a 256,000-token context window.
The same page's trade-offs list still describes Grok as unranked, and the methodology page lists it among unranked models, so treat 8.09 as a loose signal.
Either way, it doesn't tell you what a Grok Bot runs, because the Bot hides its model.
Judge Grok Bot on its cloud computer, its routines and its approvals instead.
What the bench doesn't measure
- Tool use. An n8n AI Agent calls tools you attach; the bench scores single-file builds.
- Approvals. n8n human review and Grok Bot Ask first rules sit outside any one-shot score.
- Retries. Workflows and agents can retry; the bench never does.
- Grok Bot routing. With no visible model, nothing here maps to a specific Bot run.
For human review settings on the n8n side, read the human-in-the-loop guide.
Two small-business pairings
A law firm: intake summaries
- An n8n Webhook node receives each new enquiry form.
- A light model node tags the matter type.
- An AI Agent node on a top-scoring model, such as Claude Opus 5, drafts a one-page summary for the solicitor.
- Human review sits in front of the email tool, so nothing reaches the client unchecked.
A landscaping company: supplier and job research
- n8n catches each new quote request and posts the address and job notes to a Grok Bot webhook routine.
- The Bot checks supplier sites in its browser for the plants and materials listed.
- It drafts a materials list in chat for the owner to approve.
- The model choice on this half belongs to Grok Bot, so the owner focuses on the brief and the Ask first rules.
The webhook side is set out in the routine docs: POST to the routine's URL with a Bearer key, and a 200 reply means the run started.
For more on routines, see the Grok Bot routines guide here on GoldieBench.
The pairing plan
| Lane | Run | Why |
|---|---|---|
| Hard reasoning node in n8n | Claude Opus 5 or GPT-5.6 Sol | Top two averages over 50 tasks in this group |
| High-volume sorting node | Gemini 3.6 Flash | Its page points it at high-volume work |
| Browsing and drafting | Grok Bot | No model to pick; its strength is the cloud computer |
| Fixed steps with no AI | Plain n8n nodes | No model needed at all |
Verdict: choose the job, then the model
Pick n8n when model choice matters, because it's the side where these scores change what you run.
Pick Grok Bot when the work is browsing, reading and drafting, and accept that the model is its call.
Pair them by letting n8n call a Bot's webhook routine once the fixed steps finish, the routed pattern we teach in the AI Profit Boardroom.
According to the Grok Bot changelog, clicking a webhook routine now opens its details with the URL on show.
Get the routed Agent OS setup inside the AI Profit Boardroom.
Also On Our Network
- Agent Operatorsthe eight-step setup order for running n8n and Grok Bot side by side
- AI Income Deskwhich small-business jobs suit n8n, which suit a Bot, and the plans for each
- AI Tool Verdicta ten-criteria scorecard rating Grok Bot and n8n job by job
- agentos.guidefive copy-paste prompts that split jobs between n8n and a Grok Bot
- aiprofitboardroom.comthe complete Grok Bot vs n8n guide on the AI Profit Boardroom blog
Open the model pages above, set the model on your hardest n8n node, and book a free strategy session if you want help pairing.
Pick the model where you can, brief the Bot where you can't, and that's Grok Bot vs n8n sorted.
FAQ
Can I choose the model Grok Bot uses?
No. Grok Bot has no model picker, chooses a model per task and doesn't show which one answered.
Which models can the n8n AI Agent node use?
n8n lists OpenAI, Anthropic, Google and open-source models. On n8n Cloud, supported models can also run on Gateway credits without your own key.
Which model scores highest of the ones in this guide?
Claude Opus 5, at 8.27/10 over 50 tasks on its GoldieBench model page, read on 5 November 2026.
Does a GoldieBench score predict how an n8n workflow will perform?
Not directly. The bench scores one-shot single-file builds, not tool calls, retries or approvals inside a workflow.


