VerdictPal · editorial desk · updated 16 Oct 2026VerdictPal
Compare · Head-to-head

Gemini vs Manus: pricing, privacy & capabilities

Put two dossiers side by side: fit, cost, privacy, and the failure modes that actually change the choice.

Compare · Tool A / Tool B·Head-to-head

GeminivsManus

These tools sit in different sets (General AI assistant vs Research assistant), so picking one over the other is mostly a question of which job you're doing. Gemini wins on citation honesty, source quality, speed, and value for money; Manus wins on privacy controls. For the canonical workflow, pick Gemini. Use Manus when its niche specifically wins above.

Gemini · avg
68
wins 13 of 16
Manus · avg
64
wins 3 of 16
Fields differ
14
of 16 dossier rows
Receipts
18
sources + bench notes

Checked 2026-10-13 · Gemini·Checked 2026-09-14 · Manus

Dossier fields

Sixteen fields, side by side.

No.FieldGeminiManus
01Status · Editorial quality gateFlagshipSolid
02Editorial fit · 0–100 score75 / 10067 / 100
03CategoryGeneral AI assistantResearch assistant
04Primary surfaceConsumer appConsumer app
05Modalities
  • Text
  • Image
  • Code
  • Audio
  • Video
  • Text
  • Code
  • Data
06Role in a stackGoogle ecosystem multimodal assistantGeneral-purpose autonomous research and task agent
07Best for
  • Google-heavy users who want assistant, storage, Search, NotebookLM, and media-generation benefits in one subscription family
  • Drafting and rewriting with Google Search grounding in the same thread
  • Multimodal uploads: PDFs, slides, images, video, code, and audio/video-style workflows
  • Students on Google AI Pro who want Deep Research without buying a second search assistant
  • Exploratory multi-step tasks where a sourced report, spreadsheet, deck, or website is more useful than a chat answer
  • Users testing cloud agentic workflows before building their own automation stack
  • Low-stakes research/prototype work where credit burn and imperfect execution can be reviewed
08Avoid if
  • You need numbered footnotes and domain audits like a cited search engine
  • Your institution forbids human review/model improvement and you cannot manage Gemini Apps Activity or Workspace/Vertex controls
  • You are building production RAG and assume the free AI Studio/API tier has the same data rules as paid Gemini API
  • You do not use Google Drive/Gmail/Photos/NotebookLM/Flow enough to value the bundle
  • You need predictable cost per task, exact reproducibility, or audit-perfect source trails
  • Files, client data, institutional research data, or regulated data cannot be processed by a cloud agent
  • You expect autonomous output to be publishable without source, calculation, and action review
09Capabilities tracked
  • Multimodal Gemini chat
  • Search grounding
  • AI Mode / Deep Search
  • Deep Research
  • Gemini Live
  • Gems
  • image/music/video generation
  • NotebookLM expanded limits
  • Google Flow
  • Drive/Gmail/Photos storage bundle
  • Gemini API
  • Workspace/Vertex enterprise paths
  • Multi-step cloud agent tasks
  • Web browsing and file automation
  • Reports/slides/websites/data analysis
  • Scheduled Tasks 2.0 for recurring work, web apps, and updated artifacts
  • 300 daily refresh credits and 40,000 monthly credits in official pricing page
  • 20 concurrent tasks
  • 20 scheduled tasks
  • Team/business plans
  • Meta ownership note
  • Enterprise security positioning
10Failure modes · Documented, not buried
  • Search grounding can cite SEO/support/forum/stale pages
  • Deep Research can miss academic databases
  • Consumer activity and free API data use must be managed
  • Storage/media perks can obscure assistant value
  • Regional availability varies
  • Free API and paid API have different privacy boundaries
  • Credit consumption can be hard to forecast
  • Exact lower-tier plan prices remain unverified
  • Agent outputs can hide weak sources, failed steps, or bad calculations
  • Cloud execution exposes prompts/uploads/browser state/scheduled-task context/tool outputs
  • Meta ownership may alter buyer trust and data-risk analysis
  • Provider/data-sharing terms need re-check after acquisition
11Evidence levelEditorial · hands-onEditorial · hands-on
12Sources verified · Receipts on the dossier
13Benchmark entriesNone recorded
  • Run a 5-task agent benchmark: literature scan, spreadsheet cleanup, source-backed report, slide deck, and web workflow; score autonomy, cost, audit trail, and corrections needed.
    Desk trial 2026-07-05: personally tried; formal 5-task benchmark still pending.
14Alternatives tracked
  • ChatGPT
  • Claude
  • Perplexity
  • Microsoft Copilot
  • DeepSeek
  • ChatGPT
  • Claude
  • Perplexity
  • OpenAI Operator-style agents
  • Gemini
15Pricing checked2026-10-132026-09-14
16Last verified2026-10-132026-09-14
16 metrics

Sixteen numbers, one shared midline.

GeminivsManus

These tools sit in different sets (General AI assistant vs Research assistant), so picking one over the other is mostly a question of which job you're doing. Gemini wins on citation honesty, source quality, speed, and value for money; Manus wins on privacy controls. For the canonical workflow, pick Gemini. Use Manus when its niche specifically wins above.

  1. Editorial fit
    Gemini75Manus67
  2. Source quality
    Gemini60Manus56
  3. Citation honesty
    Gemini62Manus58
  4. Privacy controls
    Gemini36Manus44
  5. Value for money
    Gemini74Manus58
  6. Speed
    Gemini80Manus58
  7. Integration
    Gemini81Manus74
  8. Onboarding
    Gemini80Manus58
  9. Reliability
    Gemini76Manus68
  10. Feature depth
    Gemini99Manus92
  11. Data portability
    Gemini55Manus49
  12. Transparency
    Gemini61Manus100
  13. Ecosystem reach
    Gemini81Manus74
  14. Documentation
    Gemini60Manus56
  15. Independence
    Gemini36Manus44
  16. Affordability
    Gemini68Manus61
Gemini · avg 68 · wins 13 of 160avg 64 · wins 3 of 16 · Manus
EvidenceGemini 3 · Manus 1
  1. 01Editorial fit
    75
    67
  2. 02Source quality
    60
    56
  3. 03Citation honesty
    62
    58
  4. 04Privacy controls
    36
    44
PrivacyGemini 4 · Manus 0
  1. 05Value for money
    74
    58
  2. 06Speed
    80
    58
  3. 07Integration
    81
    74
  4. 08Onboarding
    80
    58
CapabilityGemini 3 · Manus 1
  1. 09Reliability
    76
    68
  2. 10Feature depth
    99
    92
  3. 11Data portability
    55
    49
  4. 12Transparency
    61
    100
Cost & fitGemini 3 · Manus 1
  1. 13Ecosystem reach
    81
    74
  2. 14Documentation
    60
    56
  3. 15Independence
    36
    44
  4. 16Affordability
    68
    61
TOOL A · Gemini

Google ecosystem multimodal assistant — Google’s multimodal assistant and AI plan ecosystem, with Search grounding, Deep Research, Deep Search in AI Mode, Gems, Live, image/music/video generation, NotebookLM benefits, Google storage bundles, and a separate Gemini API.

TOOL B · Manus

General-purpose autonomous research and task agent — Cloud autonomous-agent platform for multi-step research, browsing, file work, reports, slides, websites, data analysis, scheduled tasks, and team/business workflows using credit-based plans.

Privacy facets

Where each tool is actually private.

GeminiManus
Training on your dataPartialPartial: For personal Gemini accounts, free or paid, Google uses activity to train AI models when “Keep Activity” is on. Turn it off in Gemini Apps Activity: future chats are not used for training unless you send feedback. Temporary chats are not used to train Google's AI models either; safety processing still applies. For team and enterprise use, Workspace licenses with Gemini as a core service protect chats and uploaded files from generative-model improvement; some other Workspace licenses do not. The paid Gemini API does not use prompts or responses to improve Google's products. Unpaid API use can, except in the EEA, Switzerland and UK, where the paid-service data terms also apply to unpaid use. Sources: Google, Gemini Apps Privacy Hub; Gemini for work or school; Gemini API terms (linked in Sources)UnknownUnknown: Not recorded as a plan-wide guarantee. Check the dossier's privacy notes and sources.
EU data residencyUnknownUnknown: Not recorded as a plan-wide guarantee. Check the dossier's privacy notes and sources.UnknownUnknown: Not recorded as a plan-wide guarantee. Check the dossier's privacy notes and sources.
SOC 2 attestationUnknownUnknown: Not recorded as a plan-wide guarantee. Check the dossier's privacy notes and sources.UnknownUnknown: Not recorded as a plan-wide guarantee. Check the dossier's privacy notes and sources.
Local-first by defaultUnknownUnknown: Not recorded as a plan-wide guarantee. Check the dossier's privacy notes and sources.UnknownUnknown: Not recorded as a plan-wide guarantee. Check the dossier's privacy notes and sources.
Capability split

What each tool does uniquely.

Only Gemini12

  • Multimodal Gemini chat
  • Search grounding
  • AI Mode / Deep Search
  • Deep Research
  • Gemini Live
  • Gems
  • image/music/video generation
  • NotebookLM expanded limits
  • Google Flow
  • Drive/Gmail/Photos storage bundle
  • Gemini API
  • Workspace/Vertex enterprise paths

Shared0

No overlap detected.

Only Manus10

  • Multi-step cloud agent tasks
  • Web browsing and file automation
  • Reports/slides/websites/data analysis
  • Scheduled Tasks 2.0 for recurring work, web apps, and updated artifacts
  • 300 daily refresh credits and 40,000 monthly credits in official pricing page
  • 20 concurrent tasks
  • 20 scheduled tasks
  • Team/business plans
  • Meta ownership note
  • Enterprise security positioning
Failure modes

Where each tool breaks.

Gemini

  • Search grounding can cite SEO/support/forum/stale pages
  • Deep Research can miss academic databases
  • Consumer activity and free API data use must be managed
  • Storage/media perks can obscure assistant value
  • Regional availability varies
  • Free API and paid API have different privacy boundaries

Manus

  • Credit consumption can be hard to forecast
  • Exact lower-tier plan prices remain unverified
  • Agent outputs can hide weak sources, failed steps, or bad calculations
  • Cloud execution exposes prompts/uploads/browser state/scheduled-task context/tool outputs
  • Meta ownership may alter buyer trust and data-risk analysis
  • Provider/data-sharing terms need re-check after acquisition
Pricing

Pulled straight from each dossier.

Gemini

General AI assistant
  • FREE
  • $4.99/MOGoogle AI Plus
  • $19.99/MOGoogle AI Pro

raw · Google AI Plus: USD 4.99/mo, 400 GB, 2x limits · Google AI Pro: USD 19.99/mo, 5 TB, 4x limits · Google AI Ultra: from USD 99.99/mo, 20 TB+, with higher-allowance Ultra around USD 199.99/mo and up to 20x Pro limits, plus Deep Think / higher media / NotebookLM / Flow access depending on region · Gemini API usage-based and separate.

Manus

Research assistant
  • FREE
  • $20/MOPro
  • $40/MOPro (8k credits)

raw · Live 2026-09-14 from help.manus.im (article dated 2026-03-16): Free $0 with 300 daily refresh credits, Manus 1.6 Lite in Agent Mode, 1 concurrent task, 2 scheduled tasks. Pro from $20/month (4,000 monthly credits) or $40/month (8,000 monthly credits, 7-day trial); 17% off annual; 20 concurrent and 20 scheduled tasks; Manus 1.6 / 1.6 Max / 1.6 Lite. Team from $20/seat/month with SSO, training opt-out, usage analytics. Original Basic and Plus plans were renamed to Pro. manus.im/pricing is the live checkout table (SPA; dollars taken from the dated help article).

Verdict

Which tool to actually pick.

These tools sit in different sets (General AI assistant vs Research assistant), so picking one over the other is mostly a question of which job you're doing. Gemini wins on citation honesty, source quality, speed, and value for money; Manus wins on privacy controls. For the canonical workflow, pick Gemini. Use Manus when its niche specifically wins above.

The Pack · Editorial newsletter

Know when the rules move.

One short email when a university changes its AI rule for theses, or a research tool changes its pricing or privacy terms. No tracking, no third-party analytics. Unsubscribe in one click.

Questions this comparison answers

Every answer below is assembled from the dated fields on this page. Nothing is written separately for search.

Should you use Gemini or Manus?

These tools sit in different sets (General AI assistant vs Research assistant), so picking one over the other is mostly a question of which job you're doing. Gemini wins on citation honesty, source quality, speed, and value for money; Manus wins on privacy controls. For the canonical workflow, pick Gemini. Use Manus when its niche specifically wins above.

What can Gemini do that Manus cannot?

Capabilities documented on the Gemini tool but not the Manus tool:

  • Multimodal Gemini chat
  • Search grounding
  • AI Mode / Deep Search
  • Deep Research
  • Gemini Live
  • Gems
  • image/music/video generation
  • NotebookLM expanded limits
  • Google Flow
  • Drive/Gmail/Photos storage bundle
  • Gemini API
  • Workspace/Vertex enterprise paths

What can Manus do that Gemini cannot?

Capabilities documented on the Manus tool but not the Gemini tool:

  • Multi-step cloud agent tasks
  • Web browsing and file automation
  • Reports/slides/websites/data analysis
  • Scheduled Tasks 2.0 for recurring work, web apps, and updated artifacts
  • 300 daily refresh credits and 40,000 monthly credits in official pricing page
  • 20 concurrent tasks
  • 20 scheduled tasks
  • Team/business plans
  • Meta ownership note
  • Enterprise security positioning

Is Gemini or Manus cheaper?

Gemini: Free Free · Google AI Plus $4.99/mo · Google AI Pro $19.99/mo · Google AI Ultra $99.99/mo · Google AI Plus student offer (CH, 1 year) Free · Gemini API Custom. Manus: Free Free · Pro $20/mo · Pro (8k credits) $40/mo · Team $20/mo.

How do Gemini and Manus score against each other?

On editorial fit, Gemini scores 75 out of 100 and Manus scores 67 out of 100. The score is a fit judgement for source-heavy research work, not a quality ranking — read both dossiers before you pick.