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GoldieBench Blog · 6 min read

Hermes Agent For Business + Which AI Models To Run For Each Job: Real GoldieBench Scores For Bots, Boards And Client Pages

Hermes lets every Bot, channel, job and card run its own model. Here is how the live GoldieBench scores map onto a small-business setup.

Illustration of a gold leaderboard on a dark navy background, with thin lines linking its bars to small icons for a chat bubble, an envelope, a calendar and a three-column task board.

Hermes Agent for business lets you run a different AI model for each job, so the useful question isn't "which model is best" but "which model fits this Bot, this channel or this card".

Below are the GoldieBench scores I read on the live pages on 4 November 2026, matched to the places Hermes lets you pin a model.

The examples are a salon, an accountant, a shop and an agency, and each pick says what the model actually does in that job.

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What GoldieBench Measures, And What It Doesn't

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

Julian scores each result from 0 to 10, and the leaderboard ranks models by their average.

So the scores measure building things in one go: games, simulations and web pages.

They don't measure inbox triage, report writing or reading a PDF.

Use them for the build-heavy jobs, and as a rough guide to overall strength for the rest.

Five Places Hermes Lets You Pin A Model

  • The main model: set with hermes model, used by anything that isn't pinned.
  • Each cron job: a per-job pin, or a cron.model default for every unpinned job, per the scheduled tasks docs.
  • Each Bot: Bot Mode's New Agent dialog has a model and provider pin, and different Bots can run different models side by side.
  • Each chat channel: channel_overrides in the messaging gateway set a model and system prompt per channel.
  • Each Kanban card: --model at creation or hermes kanban set-model later.

That's why one install can serve a whole small business without one model doing everything.

The AI Profit Boardroom trainings show this per-job model setup inside the Agent OS, step by step.

The Shortlist, With Live Scores

ModelAvg scoreTasksGold medalsPage read
Fusion8.59/104721Fusion page
Claude Opus 58.27/105013Opus 5 page
Hermes MoA8.17/10473Hermes MoA page
GPT-5.6 Sol8.16/10502GPT-5.6 Sol page
Claude Fable 58.10/10474Fable 5 page
Kimi K37.89/10508Kimi K3 page
Gemini 3.6 Flash7.08/10501Gemini 3.6 Flash page

Averages, task counts and medals are from the all-models leaderboard.

Client Pages: The Scores That Matter For An Agency

An agency that has Hermes draft landing pages for clients should look at GoldieBench's Page category, not the games.

ModelLandingWebosAipbpromo
Fusion9.0 🥇9.0 🥇7.5
GPT-5.6 Sol8.78.48.3 🥈
Kimi K38.68.66.5
Gemini 3.6 Flash8.68.07.8
Claude Opus 58.48.7 🥉8.3 🥈
Hermes MoA8.48.67.0
Claude Fable 57.28.07.5

Every number comes from that model's own scorecard page, linked in the shortlist above.

For a card such as "draft the florist's spring landing page", Fusion leads the Landing task outright.

Opus 5 and GPT-5.6 Sol both take silver on the promo-page task, so either is a steady pick when the page has to sell an offer.

Pin the pick to that card only, with --model, so the rest of the board keeps its usual model.

The Orchestrator On An Agency Board

The Kanban docs suggest a split: a frontier model on the orchestrator profile that breaks work into cards, and inexpensive models on the worker profiles.

Their reason is that planning needs judgement, while a card with a clear goal and context usually doesn't, and workers use most of the tokens.

From the shortlist, Claude Opus 5 at 8.27 and GPT-5.6 Sol at 8.16 are the single models I'd put on the orchestrator.

Each worker profile then sets its own default in ~/.hermes/profiles/<name>/config.yaml.

Routine Bots: The Salon Inbox And The Shop Report

A salon's inbox Bot and a shop's weekly stock Bot do the same small job over and over.

The Gemini 3.6 Flash page lists "high-volume agentic work" under Best for, and notes builds of roughly 60 to 120 seconds.

Its 7.08 average is the lowest on this shortlist, which is fine for a short summary and not for a client page.

Kimi K3's page points the other way: Best for long-horizon agent runs, with a 1,048,576-token context window, but with 13-plus-minute single builds on the bench.

That suits an accountant's Bot that reads a full year of client files in one sitting, not a quick reply.

For report-only model choices, our Hermes cron job model guide goes deeper.

Per-Channel Models For Team Chat

A shop's Slack can have a quick model in #orders and a stronger one in #suppliers, all from one gateway.

platforms:
  slack:
    channel_overrides:
      "C0ORDERS01":
        model: your-fast-model
      "C0SUPPLY02":
        model: your-frontier-model
        system_prompt: "You handle supplier questions for the shop."

The docs set the order as a session /model first, then the channel override, then the global config.

So a staff member can still switch models for one chat without changing the channel's default.

Using Hermes MoA For High-Stakes Drafts

Hermes MoA scores 8.17 as a panel: one prompt goes to several models, and an aggregator writes the final answer.

Its GoldieBench page lists a default panel of Claude Opus 4.8 and GPT-5.5, aggregated by Opus 4.8, and a latency of roughly 110 to 140 seconds per build.

That fits a one-off proposal for an agency pitch better than a Bot answering staff all day.

Hermes also accepts an MoA preset as a fallback entry, per the fallback providers page, so a panel can step in when the main model is down.

A Model Map For Four Businesses

BusinessJobWhere it's pinnedPick from the bench
SalonAnswer the owner's emailsInbox BotGemini 3.6 Flash
ShopWeekly stock summaryCron job pinGemini 3.6 Flash
AccountantRead a full client yearRecords BotKimi K3
AgencyPlan the month's cardsOrchestrator profileClaude Opus 5
AgencyClient landing pageOne Kanban cardFusion

Each row starts with one job, so the salon or shop can stop after its first line and still have a working setup.

Re-check these picks whenever GoldieBench adds a model, because the leaderboard moves.

Safety Stays The Same Whatever Model You Pick

The approval rules sit in Hermes, not in the model.

The security docs set cron_mode, single_query_mode and unattended_mode to deny by default, so unattended runs on any model have dangerous commands blocked.

The credential vault fills passwords into the page without any model seeing them, and allowlists decide who can message the agent at all.

Pick the model for the work; the guardrails come with Hermes.

Members of the AI Profit Boardroom get these model profiles already set up in the Agent OS.

Also On Our Network

Pin one model to your first job today, and book a free strategy session if you want help choosing models for Hermes Agent for business.

FAQ

Do GoldieBench scores measure inbox or report work?

No. GoldieBench scores one-shot builds of single HTML files, so use the scores for build-heavy jobs and as a rough guide for the rest.

Which model scored highest on the Landing page task?

Fusion, with 9.0 and the gold medal on its GoldieBench scorecard as read on 4 November 2026.

Can each Hermes Bot use a different model?

Yes. Bot Mode has a model and provider pin per Bot, and different Bots can run different models side by side.

Does a lighter worker model make unattended runs less safe?

No. Dangerous-command blocking for cron, one-shot and webhook sessions is set in Hermes config, so it applies whichever model runs the job.

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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