GoldieBench Blog · 6 min read
Grok Bot Gmail + Which AI Models To Pair With Your Real Inbox, With Real GoldieBench Scores
Grok Bot has no model picker, so here are the benchmarked models to use for Gmail rules, reply templates and long thread reviews, every score linked.

Grok Bot Gmail runs on whichever model Grok Bot chooses, so the GoldieBench scores worth reading are for the models you pair with your inbox outside the Bot.
The Grok Bot FAQ says it plainly: Grok Bot picks the model for each task, and there is no model picker.
That leaves three jobs where you do choose: writing the approval rules, drafting reply templates, and reviewing long exported threads.
Every score below comes from a live GoldieBench deep-dive page I read on 2 November 2026, linked in the table.
If you want my team to help plan the setup, book a free SEO strategy session.
What the Gmail connector does, in brief
According to the apps docs, the connector's jobs are search, read, draft, send and label, all within the connected mailbox.
The changelog adds send-as addresses with a From picker (v0.68.0), reply all and label colours (v0.75.2), Spam search (v0.64.0 cycle) and rich-text drafts (v0.78.1, 27 October 2026).
It can also read one-time sign-in codes that sites email to your Gmail.
This is your own mailbox, not the Bot's mail.grokbot.com address, which we cover in the Grok Bot email page.
What GoldieBench measures, and what that means for email
The methodology is one fixed prompt, one shot, one self-contained HTML file, scored 0 to 10.
The Grok deep dive lists what the bench does not measure: multi-turn agent work, long-context recall and API latency.
Running an inbox all week is multi-turn agent work, so no score here rates that.
What the scores do signal is how well a model turns one clear instruction into a finished artefact.
That maps onto writing a rule set or a reply template, not onto the triage itself.
The scores that matter for inbox work
| Model | GoldieBench average | Deep-dive rank | Pages category | Context listed |
|---|---|---|---|---|
| Fusion | 8.59 | #1 of 26 | not quoted | Varies by panel |
| Claude Opus 5 | 8.27 | #2 of 26 | 8.5 | 1,000,000 tokens |
| Hermes MoA | 8.17 | #3 of 26 | 8.0 | Sum of the panel models |
| GPT-5.6 Sol | 8.16 | #4 of 26 | 8.5 | 1,050,000 tokens |
| Grok | 8.09 | #8 of 26 | 8.3 | 256,000 tokens |
| Kimi K3 | 7.89 | #11 of 26 | 7.9 | 1,048,576 tokens |
I quote ranks from each model's deep-dive page; the home leaderboard can order them slightly differently on the day.
The Pages category covers three tasks, with a field average of 7.7 on every deep dive I read.
I use Pages as the closest proxy for email work, because both reward clear copy in a structured layout.
Job 1: writing Ask first rules for Gmail
Auto Review lets most actions run on their own, and Ask first rules stop the ones you name, per the approvals guide.
You get up to 20 Ask first rules, each up to 1,000 characters, so the job is short, precise writing.
Any model near the top of the table handles that; the difference between 8.27 and 8.09 averages won't show in a five-line rule list.
My pick is Grok itself, because its Pages score is 8.3 against a field average of 7.7 and it keeps your rule-writing in the same family as the Bot.
Write 5 Ask first rules for Grok Bot's Gmail connector: sending,
reply all, forwarding, bulk labels, reading mail from my bank.
One action and one scope each, under 200 characters.
Job 2: reply templates that land in rich text
v0.78.1 opens plain-text Gmail drafts in rich text, and drafts use your default send-as address and signature since v0.70.2.
So a template with clean headings and short paragraphs survives into the draft card.
Claude Opus 5 and GPT-5.6 Sol both score 8.5 in Pages on their deep dives, the highest Pages numbers in my table.
Grok's own deep dive lists a 9.0 on its Landing Page task and a 7.0 on its Aipbpromo Page task, a wide spread on copy-heavy builds.
For templates you'll reuse for months, I'd draft with Opus 5 or GPT-5.6 Sol and paste the result into your Grok Bot prompt.
Job 3: reviewing a long exported thread
Here context size is the spec that matters, and it is listed, not scored.
The deep dives list 1,048,576 tokens for Kimi K3, 1,050,000 for GPT-5.6 Sol, 1,000,000 for Claude Opus 5 and 256,000 for Grok.
Because the bench skips long-context recall, treat those as capacity, not proof of accuracy.
Kimi K3's deep dive shows 7.89 average and 7.9 in Pages; the Grok page records Grok trailing Kimi K3 18-25 head to head.
For a year of client email exported to one file, start with Kimi K3 or GPT-5.6 Sol.
Reading Grok's own profile for inbox work
Grok is the family the Bot belongs to, so its deep dive is worth a closer look.
It averages 8.09 across 43 scored one-shot tasks, with 5 golds, 1 silver and 1 bronze.
Its category split on that page is Games 8.3, Pages 8.3, Sims 8.0 and Visuals 7.7.
The same page keeps vendor-published numbers separate from the GoldieBench average, and so do I here.
None of these numbers tell you how the Bot will triage a Monday inbox; they tell you Grok writes structured output well in one shot.
That is a fair reason to let it draft your first rule list before you reach for a pricier panel.
If you'd rather see these pairings built live, the AI Profit Boardroom runs them on its weekly calls.
When a panel model is worth it
Fusion tops the board at 8.59, and Hermes MoA sits at 8.17 with an 8.0 in Pages.
Grok trails Hermes MoA 14-27 head to head on the Grok deep dive.
Panels earn their keep on one-off, high-stakes writing, such as the policy that decides which Gmail reads need a card.
For a daily triage brief, a single model is plenty.
Save the panel output as a fixed policy in your Agent OS, then let a single model apply it each morning.
How the pairing works day to day
Grok Bot does the Gmail work: search, label, draft, attach, rescue Spam, fetch codes.
New Gmail mail can't trigger a routine, per the routines docs, so schedule triage at least five minutes apart.
Your paired model writes the brief, the rules and the templates in your Agent OS, and reviews the week's cards on Friday.
Files move between the Bot's computer and Gmail as the files docs describe, so templates and attachments meet in the draft.
Plans and limits to know
Grok Bot is included on Premium, Super and Ultra, and Plus doesn't include it.
On accounts, the docs describe one mailbox; recent releases add a second-account picker, so check the address on each connector card.
Company Workspace accounts may need an admin to set the app named Grok to Trusted before sign-in finishes.
For the full trainings behind these pairings, join the AI Profit Boardroom.
Also On Our Network
- Agent Operatorsthe twelve-step order I connect and fence a real Gmail inbox
- AI Income Deskwhether a small business should let a Bot into its Gmail
- AI Tool Verdicta ten-criteria scorecard for the Gmail connector, rated 7.5
- agentos.guidefive Agent OS prompts that fence, triage and audit your Gmail
- aiprofitboardroom.comthe complete Grok Bot Gmail guide on the AI Profit Boardroom blog
Let the Bot run the inbox, pair a strong writer for rules and templates, and if you want a plan, book a free SEO strategy session to map your grok bot gmail stack.
FAQ
Which model does Grok Bot use for Gmail?
Grok Bot picks the model for each task and has no model picker, per the Grok Bot FAQ.
Which model should I use to write Gmail reply templates?
Claude Opus 5 and GPT-5.6 Sol both score 8.5 in the GoldieBench Pages category, the highest in this comparison.
Does GoldieBench measure email or agent work?
No. It scores one-shot single-file builds and does not measure multi-turn agent work, long-context recall or latency.
Which model handles a very long email export?
Kimi K3 and GPT-5.6 Sol list context windows above one million tokens on their deep dives; Grok lists 256,000.


