Hermes vs Genspark + Which AI Models Each One Lets You Run, With Real GoldieBench Scores

Hermes vs Genspark looks very different through a benchmark lens: in Hermes you pick the model yourself, so a GoldieBench score can drive the choice, while Genspark routes models for you and only lets you pick directly in a few places.

That makes the bench a steering wheel on one side and a background read on the other.

Every score below is one I read on a live goldiebench.com page on 9 November 2026.

GoldieBench scores models, not agent products, so neither Hermes nor Genspark has a score of its own.

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Who picks the model on each side

Hermes uses whatever provider you set with hermes model.

The Hermes providers page covers OpenRouter, Anthropic, MiniMax, xAI and more, and the FAQ adds OpenAI, Google, Kimi, z.ai and local engines such as Ollama and vLLM.

You can switch mid-chat with /model, per the slash-command reference.

Genspark works the other way round.

Its open-weights blog post says AI Workspace 6.0 routes across more than 70 models to put the right one on each step.

You get a direct picker in AI Chat, which lists 40+ models, and a Standard or Ultra tier choice in Super Agent and AI Slides.

Supplying your own model or API key isn't documented anywhere in Genspark's help center.

What a GoldieBench score measures

The methodology page gives every model the same fixed prompt, one shot, with no help and no best-of-N.

The result must be a single self-contained HTML file that runs in a browser.

Julian scores each build from 0 to 10, and the leaderboard ranks models by their average across the tasks they ran.

So the bench rewards finishing a complete build in one pass, which maps onto long agent jobs better than onto quick chat answers.

The scores, read on goldiebench.com

The provider column is my mapping from the Hermes docs; confirm each model appears in hermes model before relying on it.

Genspark's Gen-1 and the MiniMax M3 score

Genspark does publish one model detail that connects to the bench.

Its Gen-1 help page says Gen-1, its first in-house model, powers AI Slides Standard mode and was built from MiniMax M3, an open-weight model, then post-trained with reinforcement learning.

MiniMax M3 itself scores 7.97/10 over 47 tasks on GoldieBench.

That is the base model's score, not Gen-1's: Genspark's post-training changes behavior, and the bench has never tested Gen-1.

Ultra mode in AI Slides runs frontier models from other labs instead, which Genspark doesn't name on that page.

In Hermes you can run MiniMax M3 directly through the MiniMax provider if you want to see what the base model does on your own tasks.

Mixture-of-Agents on both sides

Both products offer a panel-of-models option.

Genspark's AI Chat has a Mixture-of-Agents setting that combines several models' outputs into one response.

Hermes has a /moa command that runs one prompt through your default Mixture of Agents preset and then restores your usual model.

GoldieBench's Hermes MoA page describes a panel of frontier models merged by a chair model, built inside Julian's Agent OS, at 8.17/10 over 47 tasks.

The bench has no score for Genspark's own mix, so the two can't be compared on numbers.

Tiers instead of model names in Genspark

Most Genspark choices are about effort, not about a named model.

The Super Agent guide asks you to set a tier before you send: Standard for most work, Ultra when a job needs more.

AI Slides follows the same pattern, with Gen-1 behind Standard and frontier models from other labs behind Ultra, and a deck's mode is fixed once the first prompt goes in.

Team admins get one more lever: a "Restrict AI Model Vendors" setting that limits AI Slides to approved vendors.

So the practical model question in Genspark is when to step up to Ultra, while in Hermes it is which named model to run for each job.

Neither tier has a GoldieBench score, because the bench only tests named models.

Picking a Hermes model by job

• Long, multi-step builds: Claude Opus 5 has the top single-model average in the table, 8.27/10 over 50 tasks.
• A strong second vendor: GPT-5.6 Sol, 8.16/10 over 50 tasks, works as a fallback provider.
• Long documents: Kimi K3's page describes a 1M-token context tuned for long-horizon agent work, at 7.89/10.
• Light, frequent jobs: Gemini 3.6 Flash, 7.08/10 over 50 tasks; test it on simple summaries first.

The cron docs let you pin a model per job, so a top scorer can handle chat while a lighter model runs hourly checks.

Local models: Hermes yes, Genspark only in its browser

Hermes can run open models entirely on your machine; its Local Models page says nothing leaves the computer once a model is downloaded.

GoldieBench's local leaderboard puts Qwable 5 27B Coder first at 7.14/10 over 41 tasks, run through Apple MLX.

Genspark's only on-device option is On-Device Free AI inside the Genspark AI Browser, and the browser page doesn't name the models it runs, so there's nothing on the bench to match it against.

Small-business pairings

A print shop producing proof sheets and order summaries:

1. Use Genspark AI Sheets or AI Docs for the customer-facing proof pack, on the Standard tier.
2. Run Hermes on the shop PC with Gemini 3.6 Flash for a daily job that summarizes new order emails, draft only.
3. Switch that one job to Claude Opus 5 with a cron pin if the summaries miss details.

A tutoring center handling student records:

1. Keep student notes in Hermes on a local model, starting with the top local scorer above.
2. Build worksheets and parent-evening slides in Genspark AI Slides, where Gen-1 runs Standard mode.
3. Use /moa in Hermes for the occasional hard question, such as rewriting a tricky lesson plan.

What the bench can't tell you

• How a model handles your inbox, your files or your customers' questions.
• Anything about Genspark's routing, since it doesn't publish which model handles which step.
• Agent safety: approvals, allowlists and connector permissions sit outside the score.

Run your own five-task test before switching a live job: same prompt, two models, compare the output side by side.

For a different hosted rival viewed the same way, read Hermes vs Manus and which models to run.

Members of the AI Profit Boardroom share those side-by-side tests every week.

Also On Our Network

• Agent Operatorsthe six setup steps for running Hermes and Genspark side by side
• AI Income Deskfive small-business use cases deciding between Hermes and Genspark
• AI Tool Verdictthe eight-row scorecard rating Hermes and Genspark out of 10
• agentos.guidefive copy-paste prompts for running Hermes and Genspark in one Agent OS
• aiprofitboardroom.comthe complete Hermes vs Genspark guide on the AI Profit Boardroom blog

Pick one live job, test two models on it this week, and book a free strategy session if you want help choosing for hermes vs genspark.