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VerdictPal · editorial desk · 2026VerdictPal
Compare · Head-to-head

Pick two cards. See the diff.

Stat bars are editorial heuristics, methodology linked — not a fake benchmark leaderboard. Put two dossiers side by side and see where each one breaks.
CardsModels

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

ClaudevsManus

These cards 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. Claude wins on speed and value for money; Manus wins on source quality. Both pass our quality gate. The right pick is the one whose strengths match the job you're trying to do.

Claude · avg
67
wins 9 of 16
Manus · avg
64
wins 3 of 16
Fields differ
14
of 16 dossier rows
Receipts
15
sources + bench notes

Checked 2026-06-07 · Claude·Checked 2026-06-09 · Manus

Dossier fields

Sixteen fields, side by side.

No.FieldClaudeManus
01Status · Editorial quality gateSolidSolid
02Editorial fit · 0–100 score78 / 10067 / 100
03CategoryGeneral AI assistantResearch assistant
04Primary surfaceConsumer appConsumer app
05Modalities
  • Text
  • Image
  • Code
  • Text
  • Code
  • Data
06Role in a stackLong-context drafting and analysis deskGeneral-purpose autonomous research and task agent
07Best for
  • Thesis chapters, ethics-heavy rewrites, and long-form prose where tone and nuance matter
  • Projects that keep rubrics, PDFs, prior threads, and artifacts in one workspace
  • Teams that need Slack/Google Workspace/Microsoft 365/GitHub-style connectors under admin controls
  • Developers using Claude Code, Cowork, or the Messages API with explicit tool pricing
  • 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
  • Footnotes and domain audits are the deliverable — use Perplexity, Kagi, Scira, or another cited-search workflow first
  • Your institution forbids consumer cloud processing and you only have Free/Pro/Max without commercial terms
  • You need today’s-web answers without paying attention to web-search/tool fees and source quality
  • You cannot tolerate quota cliffs from extended thinking, Research, or Max/Team capacity tiers
  • 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
  • Chat on web/mobile/desktop
  • long-form writing
  • Projects
  • file uploads
  • Artifacts
  • memory
  • web search
  • Research
  • extended thinking
  • Claude Code
  • Claude Cowork
  • code execution
  • desktop extensions
  • remote MCP/connectors
  • Team/Enterprise admin
  • API tools
  • 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
  • Research/web answers still need source rejection
  • Extended thinking and tool use burn quotas/costs
  • Consumer terms differ from Team/Enterprise/API
  • Team Premium and Enterprise add seat/usage complexity
  • Enterprise self-serve may combine seat fees with API-rate usage
  • Not a reference manager or systematic-review tool
  • 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 levelSynthesizedEditorial · hands-on
12Sources verified · Receipts on the dossier
13Benchmark entries
  • Rewrite and critique three thesis-style sections against ChatGPT, Gemini, and Mistral.
    Pending.
  • Run five Research prompts and classify every source.
    Pending.
  • Run a fixed API workload with web search and code execution.
    Pending.
  • Compare Free/Pro, Team, Enterprise, and API data boundaries.
    Pending.
  • 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
  • Gemini
  • Perplexity
  • Microsoft Copilot
  • DeepSeek
  • ChatGPT
  • Claude
  • Perplexity
  • OpenAI Operator-style agents
  • Gemini
15Pricing checked2026-06-072026-06-09
16Last verified2026-06-072026-06-09
16 metrics

Sixteen numbers, one shared midline.

ClaudevsManus

These cards 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. Claude wins on speed and value for money; Manus wins on source quality. Both pass our quality gate. The right pick is the one whose strengths match the job you're trying to do.

  1. Editorial fit
    Claude78Manus67
  2. Source quality
    Claude52Manus56
  3. Citation honesty
    Claude56Manus58
  4. Privacy controls
    Claude44Manus44
  5. Value for money
    Claude72Manus58
  6. Speed
    Claude71Manus58
  7. Integration
    Claude86Manus74
  8. Onboarding
    Claude71Manus58
  9. Reliability
    Claude70Manus68
  10. Feature depth
    Claude100Manus92
  11. Data portability
    Claude65Manus49
  12. Transparency
    Claude63Manus100
  13. Ecosystem reach
    Claude86Manus74
  14. Documentation
    Claude52Manus56
  15. Independence
    Claude44Manus44
  16. Affordability
    Claude64Manus61
Claude · avg 67 · wins 9 of 160avg 64 · wins 3 of 16 · Manus
EvidenceClaude 1 · Manus 1
  1. 01Editorial fit
    78
    67
  2. 02Source quality
    52
    56
  3. 03Citation honesty
    56
    58
  4. 04Privacy controls
    44
    44
PrivacyClaude 4 · Manus 0
  1. 05Value for money
    72
    58
  2. 06Speed
    71
    58
  3. 07Integration
    86
    74
  4. 08Onboarding
    71
    58
CapabilityClaude 2 · Manus 1
  1. 09Reliability
    70
    68
  2. 10Feature depth
    100
    92
  3. 11Data portability
    65
    49
  4. 12Transparency
    63
    100
Cost & fitClaude 2 · Manus 1
  1. 13Ecosystem reach
    86
    74
  2. 14Documentation
    52
    56
  3. 15Independence
    44
    44
  4. 16Affordability
    64
    61
CARD A · Claude
General AI assistant
Claude
78/100
ROLELong-context drafting and analysis desk
Editorial fit
78
Source quality
52
Citation honesty
56
Privacy controls
44
Value for money
72
Speed
71
FREEFree
$20/MOPro
$100/MOMax 5×
SolidVerified 2026-06-07VP·METHOD

Long-context drafting and analysis desk — Anthropic’s assistant for careful drafting, long documents, Projects, Artifacts, Research, web search, memory, Claude Code, Cowork, connectors, and API workflows, with separate consumer, team, enterprise, and API trust boundaries.

CARD B · Manus
Research assistant
Manus
67/100
ROLEGeneral-purpose autonomous research and task agent
Editorial fit
67
Source quality
56
Citation honesty
58
Privacy controls
44
Value for money
58
Speed
58
FREEFree trial
$39/MOPlus
CUSTOMPro
SolidVerified 2026-06-09VP·METHOD

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 card is actually private.

ClaudeManus
Training on your dataUnknownUnknown: Not statedUnknownUnknown: Not stated
EU data residencyPartialPartial: Enterprise tier onlyPartialPartial: Enterprise tier only
SOC 2 attestationNoNo: Not documentedNoNo: Not documented
Local-first by defaultNoNo: Cloud onlyNoNo: Cloud only
Capability split

What each card does uniquely.

Only Claude16

  • Chat on web/mobile/desktop
  • long-form writing
  • Projects
  • file uploads
  • Artifacts
  • memory
  • web search
  • Research
  • extended thinking
  • Claude Code
  • Claude Cowork
  • code execution
  • desktop extensions
  • remote MCP/connectors
  • Team/Enterprise admin
  • API tools

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 card breaks.

Claude

  • Research/web answers still need source rejection
  • Extended thinking and tool use burn quotas/costs
  • Consumer terms differ from Team/Enterprise/API
  • Team Premium and Enterprise add seat/usage complexity
  • Enterprise self-serve may combine seat fees with API-rate usage
  • Not a reference manager or systematic-review tool

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.

Claude

General AI assistant
  • FREEFree
  • $20/MOPro
  • $100/MOMax 5×

raw · Free · Pro USD 20/mo or USD 17/mo annual · Max from USD 100/mo with 5x/20x capacity · Team Standard USD 25 monthly or USD 20 annual per seat · Team Premium USD 125 monthly or USD 100 annual per seat · Enterprise seat + API-rate usage or custom · API web search USD 10/1K searches plus tokens.

Manus

Research assistant
  • FREEFree trial
  • $39/MOPlus
  • CUSTOMPro

raw · Verified 2026-06-07 from official Manus pricing/product pages: credit-based plans with daily refresh credits; pricing page lists 300 refresh credits every day, 40,000 credits/month, in-depth research for large-scale tasks, professional websites with data analytics, slides for batch production, Wide Research for heavy use, early beta access, 20 concurrent tasks, 20 scheduled tasks, team/business plans, and enterprise security/compliance positioning. Exact lower-tier plan names/prices still need live checkout/full-table verification.

Verdict

Which card to actually pick.

These cards 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. Claude wins on speed and value for money; Manus wins on source quality. Both pass our quality gate. The right pick is the one whose strengths match the job you're trying to do.

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