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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

ClaudevsDeepSeek

In the General AI assistant set, Claude edges ahead overall (editorial fit 78 vs 50). Claude wins on privacy controls and value for money; DeepSeek 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 11 of 16
DeepSeek · avg
55
wins 3 of 16
Fields differ
13
of 16 dossier rows
Receipts
23
sources + bench notes

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

Dossier fields

Sixteen fields, side by side.

No.FieldClaudeDeepSeek
01Status · Editorial quality gateSolidSolid
02Editorial fit · 0–100 score78 / 10050 / 100
03CategoryGeneral AI assistantGeneral AI assistant
04Primary surfaceConsumer appConsumer app
05Modalities
  • Text
  • Image
  • Code
  • Text
  • Code
06Role in a stackLong-context drafting and analysis deskLow-cost reasoning and coding assistant / API model option
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
  • Cost-sensitive API experiments where token price matters more than ecosystem polish
  • Coding and reasoning comparisons against ChatGPT, Claude, Gemini, Mistral, and OpenRouter routes
  • Developers who want OpenAI-/Anthropic-compatible endpoints for inexpensive model routing tests
  • Users who can keep sensitive or unpublished research out of consumer chat and standard API calls
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
  • Your institution bars sending research data to China-based AI services
  • You need clear enterprise data-residency, retention, or no-training guarantees for consumer chat
  • You want the most mature assistant ecosystem, integrations, admin controls, or procurement story
  • You cannot monitor model-name deprecations and API compatibility changes
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
  • OpenAI- and Anthropic-compatible API
  • base URLs for both formats
  • V4-Flash and V4-Pro
  • thinking/non-thinking modes
  • 1M context
  • 384K max output
  • JSON output
  • tool calls
  • chat prefix completion beta
  • FIM completion beta in non-thinking mode
  • supported by agent/coding tools like Claude Code, GitHub Copilot, and OpenCode as backend model
  • low token pricing
  • high concurrency limits
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
  • Privacy/residency may be unacceptable institutionally
  • Consumer and API terms differ
  • Geopolitical/export-control context can affect access
  • Very high max output can cause runaway generation if max_tokens is not set
  • Legacy model names deprecate 2026-07-24
  • DeepSeek reserves right to adjust prices; docs need monitoring
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 20 reasoning/coding tasks on V4-Flash, V4-Pro, ChatGPT, Claude, Gemini, and OpenRouter routes.
    Pending.
  • Test a controlled 200K / 500K / 1M-token retrieval and summarization workload.
    Pending.
  • Swap OpenAI and Anthropic SDK configurations to DeepSeek base URLs.
    Pending.
  • Compare privacy, terms, residency, and policy constraints against ChatGPT, Claude, Gemini, and Mistral.
    Pending.
14Alternatives tracked
  • ChatGPT
  • Gemini
  • Perplexity
  • Microsoft Copilot
  • DeepSeek
  • ChatGPT
  • Claude
  • Gemini
  • OpenRouter
  • Qwen
15Pricing checked2026-06-072026-06-09
16Last verified2026-06-072026-06-09
16 metrics

Sixteen numbers, one shared midline.

ClaudevsDeepSeek

In the General AI assistant set, Claude edges ahead overall (editorial fit 78 vs 50). Claude wins on privacy controls and value for money; DeepSeek 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
    Claude78DeepSeek50
  2. Source quality
    Claude52DeepSeek58
  3. Citation honesty
    Claude56DeepSeek54
  4. Privacy controls
    Claude44DeepSeek22
  5. Value for money
    Claude72DeepSeek45
  6. Speed
    Claude71DeepSeek68
  7. Integration
    Claude86DeepSeek55
  8. Onboarding
    Claude71DeepSeek68
  9. Reliability
    Claude70DeepSeek48
  10. Feature depth
    Claude100DeepSeek62
  11. Data portability
    Claude65DeepSeek65
  12. Transparency
    Claude63DeepSeek98
  13. Ecosystem reach
    Claude86DeepSeek55
  14. Documentation
    Claude52DeepSeek58
  15. Independence
    Claude44DeepSeek22
  16. Affordability
    Claude64DeepSeek55
Claude · avg 67 · wins 11 of 160avg 55 · wins 3 of 16 · DeepSeek
EvidenceClaude 2 · DeepSeek 1
  1. 01Editorial fit
    78
    50
  2. 02Source quality
    52
    58
  3. 03Citation honesty
    56
    54
  4. 04Privacy controls
    44
    22
PrivacyClaude 4 · DeepSeek 0
  1. 05Value for money
    72
    45
  2. 06Speed
    71
    68
  3. 07Integration
    86
    55
  4. 08Onboarding
    71
    68
CapabilityClaude 2 · DeepSeek 1
  1. 09Reliability
    70
    48
  2. 10Feature depth
    100
    62
  3. 11Data portability
    65
    65
  4. 12Transparency
    63
    98
Cost & fitClaude 3 · DeepSeek 1
  1. 13Ecosystem reach
    86
    55
  2. 14Documentation
    52
    58
  3. 15Independence
    44
    22
  4. 16Affordability
    64
    55
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 · DeepSeek
General AI assistant
DeepSeek
50/100
ROLELow-cost reasoning and coding assistant / API model option
Editorial fit
50
Source quality
58
Citation honesty
54
Privacy controls
22
Value for money
45
Speed
68
FREEVerified 2026-06-07
FREEFree
CUSTOMPro
SolidVerified 2026-06-09VP·METHOD

Low-cost reasoning and coding assistant / API model option — Low-cost consumer chat and API model provider for reasoning, coding, and OpenAI-/Anthropic-compatible model routing, with unusually low token prices and important privacy, residency, and institutional-risk caveats.

Privacy facets

Where each card is actually private.

ClaudeDeepSeek
Training on your dataUnknownUnknown: Not statedUnknownUnknown: Not stated
EU data residencyPartialPartial: Enterprise tier onlyNoNo: Not documented
SOC 2 attestationNoNo: Not documentedNoNo: Not documented
Local-first by defaultNoNo: Cloud onlyPartialPartial: Local option available
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 DeepSeek13

  • OpenAI- and Anthropic-compatible API
  • base URLs for both formats
  • V4-Flash and V4-Pro
  • thinking/non-thinking modes
  • 1M context
  • 384K max output
  • JSON output
  • tool calls
  • chat prefix completion beta
  • FIM completion beta in non-thinking mode
  • supported by agent/coding tools like Claude Code, GitHub Copilot, and OpenCode as backend model
  • low token pricing
  • high concurrency limits
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

DeepSeek

  • Privacy/residency may be unacceptable institutionally
  • Consumer and API terms differ
  • Geopolitical/export-control context can affect access
  • Very high max output can cause runaway generation if max_tokens is not set
  • Legacy model names deprecate 2026-07-24
  • DeepSeek reserves right to adjust prices; docs need monitoring
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.

DeepSeek

General AI assistant
  • FREEVerified 2026-06-07
  • FREEFree
  • CUSTOMPro

raw · Verified 2026-06-07 from official DeepSeek API docs: V4-Flash $0.0028/1M cache-hit input, $0.14/1M cache-miss input, $0.28/1M output; V4-Pro $0.003625/1M cache-hit input, $0.435/1M cache-miss input, $0.87/1M output. Both list 1M context, max 384K output, JSON output, tool calls, chat prefix beta, FIM beta in non-thinking mode, and OpenAI/Anthropic base URLs. Concurrency limits: 2500 Flash, 500 Pro. deepseek-chat and deepseek-reasoner deprecate 2026-07-24 15:59 UTC.

Verdict

Which card to actually pick.

In the General AI assistant set, Claude edges ahead overall (editorial fit 78 vs 50). Claude wins on privacy controls and value for money; DeepSeek 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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