Hermes vs Manus: Who Picks The Model, Which AI Models To Run Through Hermes Or Manus Flex, And What The GoldieBench Scores Mean

Hermes vs Manus handles the model question very differently: in Hermes you choose the language model yourself, while Manus runs its own modes unless you switch on Manus Flex and bring your own API key.

That changes how much a benchmark can help you on each side.

Every score below is one I read on a live goldiebench.com page on 8 November 2026.

GoldieBench scores models, not agents, so neither Hermes nor Manus has a score of its own here.

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Who picks the model in each tool

Hermes uses whatever provider you set with hermes model, and the Hermes providers page lists Nous Portal, Anthropic, OpenAI, OpenRouter, xAI, Google Gemini, Kimi, z.ai, DeepSeek, local Ollama, LM Studio and custom endpoints, among others.

In Manus, the standard modes are Manus 2.0 Max, Manus 2.0 and Manus 2.0 Lite.

The Manus Flex docs let you swap in your own key from OpenAI, Anthropic, Google AI Studio, xAI, Meta, OpenRouter, Fireworks or Modal, then choose a primary model and an effort level.

Flex is in beta, and Manus says third-party model performance may vary.

Media is separate on Manus: its built-in models handle images, video, audio and 3D, and Flex never replaces them.

What a GoldieBench score measures

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

The result has to be one 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 were scored on.

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

Medals go to the top three scores on each task, but the average is what I quote below, because it reflects every task a model attempted.

The scores, read on goldiebench.com

The Hermes column comes from the Hermes providers page, and the Flex column from the Manus Flex provider list.

Flex shows models per provider, so open its Primary model list to confirm a specific model before you rely on it.

Matching a model to the job

• Long builds and multi-step jobs: Claude Opus 5 holds the top single-model average in this table, 8.27/10 over 50 tasks, and both tools can reach it through Anthropic or OpenRouter.
• A strong second vendor: GPT-5.6 Sol sits at 8.16/10 over 50 tasks, a sensible fallback in Hermes and an OpenAI option in Flex.
• Panels over single models: Fusion leads the bench at 8.59/10 over 47 tasks, and Hermes MoA reaches 8.17/10 over 47; its page calls it "Hermes · Mixture of Agents".
• Quick, frequent runs: Gemini 3.6 Flash scores 7.08/10 over 50 tasks, so test it on simple summaries before handing it builds.

These are starting points from one-shot builds, not proof that a model will handle your inbox or your spreadsheets.

Effort levels and speed in Manus Flex

Flex adds a second dial beside the model: an effort level.

The docs say a higher level can lift quality but runs slower and uses more of your provider's quota, and they suggest starting in the middle.

On the bench, that maps onto the gap between a top scorer like Claude Opus 5 and a fast model like Gemini 3.6 Flash: a stronger setting is worth it on long builds, less so on short summaries.

Your provider's own rate limits apply too, so a key that hits its limit can stop a task.

Scheduled jobs and model pinning

Hermes lets a scheduled job carry its own model.

The cron docs resolve a job's model in this order: a per-job pin, then cron.model in config.yaml, then the main model at the moment the job fires.

That means you can run a fast, light model on a daily summary and keep a top scorer for weekly reports.

On Manus, Flex applies to your projects and Automations as well, so whatever primary model you pick there carries into scheduled work.

Switching back to a standard Manus mode returns new tasks to Manus's own models.

Open weights and local models

This is where the two tools split hardest.

Hermes can talk to a model on your own hardware through Ollama, LM Studio or a custom endpoint.

GLM-5.2, which its GoldieBench page lists as open weights, scores 7.77/10 over 47 tasks, so it's a reasonable local candidate if your machine can host it.

Manus Flex has no custom endpoint field, and its docs say to reach open models through a supported host such as Modal.

Small-business pairings

A marketing agency's weekly client reports in Hermes:

1. Pin Claude Opus 5 to the weekly report cron job.
2. Set cron.model to Gemini 3.6 Flash for the daily inbox digest.
3. Deliver both to the team's Slack channel as drafts for an account manager to check.

An online shop's product descriptions in Manus:

1. Start in a standard Manus mode and write ten descriptions from the supplier sheet.
2. Switch to Flex with an OpenRouter key and run the same ten through two other models.
3. Compare the drafts side by side, keep the best mode, and have a person check every product claim.

The Flex docs themselves suggest testing on a real task before moving automations across.

Where the bench can't help you choose

GoldieBench doesn't test connectors, chat gateways, permission modes or how an agent handles your files.

Those differences, like Hermes running on your own machine or Manus offering 416 connectors in its catalog, decide the agent before the model ever matters.

For the product-level picture, the Grok Bot vs Manus breakdown covers Manus against another hosted agent.

Members of the AI Profit Boardroom share which models they settle on for each agent.

How to test a model before you switch

1. Pick one real job you run every week.
2. Run it on your current model and save the output.
3. Run it on a challenger from the table above, with the same prompt and files.
4. Judge both on accuracy first, then on how much editing they needed.
5. Only then change your cron pins in Hermes or your Flex model in Manus.

Also On Our Network

• Agent Operatorsthe six setup steps and approval settings for running Hermes and Manus side by side
• AI Income Deskfive small-business use cases that show where Hermes or Manus fits better
• AI Tool Verdictthe nine-row scorecard that rates Hermes and Manus out of 10
• agentos.guidefive copy-paste prompts that give Hermes the back office and Manus the studio
• aiprofitboardroom.comthe complete Hermes vs Manus guide on the AI Profit Boardroom blog

Shortlist two models from the table, run your weekly job on both, and book a free strategy session if you want help reading the results.

Let real output, not a total score, pick the model on each side of Hermes vs Manus.