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

DeepSeek vs Gemini: pricing, privacy & capabilities

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

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

DeepSeekvsGemini

In the General AI assistant set, Gemini edges ahead overall (editorial fit 75 vs 50). Gemini wins on citation honesty, privacy controls, speed, and value for money; the rest is a wash. For the canonical workflow, pick Gemini. Use DeepSeek when its niche specifically wins above.

DeepSeek · avg
55
wins 2 of 16
Gemini · avg
68
wins 12 of 16
Fields differ
12
of 16 dossier rows
Receipts
26
sources + bench notes

Checked 2026-10-09 · DeepSeek·Checked 2026-10-13 · Gemini

Dossier fields

Sixteen fields, side by side.

No.FieldDeepSeekGemini
01Status · Editorial quality gateSolidFlagship
02Editorial fit · 0–100 score50 / 10075 / 100
03CategoryGeneral AI assistantGeneral AI assistant
04Primary surfaceConsumer appConsumer app
05Modalities
  • Text
  • Code
  • Text
  • Image
  • Code
  • Audio
  • Video
06Role in a stackLow-cost reasoning and coding assistant / API model optionGoogle ecosystem multimodal assistant
07Best for
  • 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  • Users who can keep sensitive or unpublished research out of consumer chat and standard API calls
  • 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
08Avoid if
  • 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
  • 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
09Capabilities tracked
  • 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
  • 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
10Failure modes · Documented, not buried
  • 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
  • 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
11Evidence levelEditorial · hands-onEditorial · hands-on
12Sources verified · Receipts on the dossier
13Benchmark entriesNone recordedNone recorded
14Alternatives tracked
  • ChatGPT
  • Claude
  • Gemini
  • OpenRouter
  • Qwen
  • ChatGPT
  • Claude
  • Perplexity
  • Microsoft Copilot
  • DeepSeek
15Pricing checked2026-10-092026-10-13
16Last verified2026-10-092026-10-13
16 metrics

Sixteen numbers, one shared midline.

DeepSeekvsGemini

In the General AI assistant set, Gemini edges ahead overall (editorial fit 75 vs 50). Gemini wins on citation honesty, privacy controls, speed, and value for money; the rest is a wash. For the canonical workflow, pick Gemini. Use DeepSeek when its niche specifically wins above.

  1. Editorial fit
    DeepSeek50Gemini75
  2. Source quality
    DeepSeek58Gemini60
  3. Citation honesty
    DeepSeek54Gemini62
  4. Privacy controls
    DeepSeek22Gemini36
  5. Value for money
    DeepSeek45Gemini74
  6. Speed
    DeepSeek68Gemini80
  7. Integration
    DeepSeek55Gemini81
  8. Onboarding
    DeepSeek68Gemini80
  9. Reliability
    DeepSeek48Gemini76
  10. Feature depth
    DeepSeek62Gemini99
  11. Data portability
    DeepSeek65Gemini55
  12. Transparency
    DeepSeek98Gemini61
  13. Ecosystem reach
    DeepSeek55Gemini81
  14. Documentation
    DeepSeek58Gemini60
  15. Independence
    DeepSeek22Gemini36
  16. Affordability
    DeepSeek55Gemini68
DeepSeek · avg 55 · wins 2 of 160avg 68 · wins 12 of 16 · Gemini
EvidenceDeepSeek 0 · Gemini 3
  1. 01Editorial fit
    50
    75
  2. 02Source quality
    58
    60
  3. 03Citation honesty
    54
    62
  4. 04Privacy controls
    22
    36
PrivacyDeepSeek 0 · Gemini 4
  1. 05Value for money
    45
    74
  2. 06Speed
    68
    80
  3. 07Integration
    55
    81
  4. 08Onboarding
    68
    80
CapabilityDeepSeek 2 · Gemini 2
  1. 09Reliability
    48
    76
  2. 10Feature depth
    62
    99
  3. 11Data portability
    65
    55
  4. 12Transparency
    98
    61
Cost & fitDeepSeek 0 · Gemini 3
  1. 13Ecosystem reach
    55
    81
  2. 14Documentation
    58
    60
  3. 15Independence
    22
    36
  4. 16Affordability
    55
    68
TOOL A · 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
FREE
CUSTOMPro
SolidVerified 2026-10-09VP·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.

TOOL B · Gemini
General AI assistant
Gemini
75/100
ROLEGoogle ecosystem multimodal assistant
Editorial fit
75
Source quality
60
Citation honesty
62
Privacy controls
36
Value for money
74
Speed
80
FREE
$4.99/MOGoogle AI Plus
$19.99/MOGoogle AI Pro
FlagshipVerified 2026-10-13VP·METHOD

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.

Privacy facets

Where each tool is actually private.

DeepSeekGemini
Training on your dataUnknownUnknown: Not recorded as a plan-wide guarantee. Check the dossier's privacy notes and sources.PartialPartial: 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)
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 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

Shared0

No overlap detected.

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
Failure modes

Where each tool breaks.

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

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
Pricing

Pulled straight from each dossier.

DeepSeek

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

raw · Live-checked 2026-10-09 from official DeepSeek API docs. deepseek-flash (DeepSeek-V4.1-Flash) peak $0.006/1M cache-hit input, $0.30/1M cache-miss input, $1.20/1M output; deepseek-v4-pro peak $0.044 / $1.32 / $3.96. Off-peak is half. Both list 1M context, max 384K output. Concurrency: 2500 Flash, 500 Pro. Legacy deepseek-v4-flash names still route to Flash.

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.

Verdict

Which tool to actually pick.

In the General AI assistant set, Gemini edges ahead overall (editorial fit 75 vs 50). Gemini wins on citation honesty, privacy controls, speed, and value for money; the rest is a wash. For the canonical workflow, pick Gemini. Use DeepSeek when its niche specifically wins above.

Open DeepSeek's dossierOpen Gemini's dossier
Try DeepSeek ↗Try Gemini ↗

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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 DeepSeek or Gemini?

In the General AI assistant set, Gemini edges ahead overall (editorial fit 75 vs 50). Gemini wins on citation honesty, privacy controls, speed, and value for money; the rest is a wash. For the canonical workflow, pick Gemini. Use DeepSeek when its niche specifically wins above.

What can DeepSeek do that Gemini cannot?

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

  • 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

What can Gemini do that DeepSeek cannot?

Capabilities documented on the Gemini tool but not the DeepSeek 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

Is DeepSeek or Gemini cheaper?

DeepSeek: Verified 2026-06-07 Free · Free Free · Pro Custom. 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.

How do DeepSeek and Gemini score against each other?

On editorial fit, DeepSeek scores 50 out of 100 and Gemini scores 75 out of 100. The score is a fit judgement for source-heavy research work, not a quality ranking — read both dossiers before you pick.