software
DeepSeek vs Perplexity 2026: AI Reasoning vs Search
DeepSeek is a Chinese AI model optimized for reasoning and coding with lower computational costs, while Perplexity is a US-based AI search engine focused on real-time web information retrieval and source citation. They serve different primary use cases: DeepSeek excels at complex problem-solving, while Perplexity excels at current information gathering.
D
DeepSeek
Chinese AI reasoning model optimized for complex problem-solving and code generation with lower costs.
Developers, mathematicians, engineers, and researchers prioritizing reasoning quality and cost efficiency
Score63%
VS
P
Perplexity
US-based AI search engine providing real-time web answers with full source attribution.
Researchers, journalists, students, and professionals needing verified current information with sources
Score63%
Quick Answer
AI SummaryDeepSeek is a Chinese AI model optimized for reasoning and coding with lower computational costs, while Perplexity is a US-based AI search engine focused on real-time web information retrieval and source citation. They serve different primary use cases: DeepSeek excels at complex problem-solving, while Perplexity excels at current information gathering.
Our Verdict
AI-assistedChoose DeepSeek if you need advanced reasoning for complex problems, coding assistance, or cost-effective AI API access without privacy concerns about browsing history. Choose Perplexity if you need current information, fact-checking with cited sources, or prefer a US-based privacy policy—particularly valuable for research, journalism, and time-sensitive queries.
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D
DeepSeek
7.9/10
Perplexity
7.1/10
P
D
Choose DeepSeek if
Best pickDevelopers, mathematicians, engineers, and researchers prioritizing reasoning quality and cost efficiency
P
Choose Perplexity if
Researchers, journalists, students, and professionals needing verified current information with sources
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Key Differences at a Glance
- Primary Function:Reasoning & code generation model vs Real-time AI search engine
- Real-time Internet Access:✓ Perplexity wins(Yes, live web search integration vs No live web browsing)
- Source Citation:✓ Perplexity wins(Full source attribution with links vs No inline source links)
Key Facts & Figures
73 numeric metrics compared
| Metric | DeepSeek | Perplexity | Ratio |
|---|---|---|---|
| API Cost (Input Tokens)($ per million tokens) | $0.014 (DeepSeek-Chat) | — | — |
| Minimum Monthly Cost (Consumer)($) | Free tier available | — | — |
| Context Window Size (V3/O1)(tokens) | 4,096 tokens (DeepSeek-V3) | — | — |
| Minimum Subscription Cost(USD/month) | Free (with API credits) | — | — |
| Reasoning Task Performance (GPQA Benchmark)(percentage) | 92% (R1) | — | — |
| AIME 2024 Benchmark (Math Reasoning)(percent) | 96.3% | — | — |
| API Input Token Cost(USD per 1M tokens) | $0.14 | — | — |
| Largest Model Parameter Count(parameters) | 685B (DeepSeek-V3) | — | — |
| MMLU General Knowledge Benchmark(percent) | 92.3% | — | — |
| Minimum GPU VRAM for Full Model Inference(GB) | 40GB (with MoE efficiency) | — | — |
| LiveCodeBench Score(percent) | 88.7% | — | — |
| Math Reasoning Accuracy (AIME 2024)(percent correct) | 79.8% | — | — |
| Code Generation Performance (HumanEval)(%) | 92.3% (DeepSeek-V3) | — | — |
| API Cost per Million Input Tokens(USD) | $0.14 | — | — |
| General Knowledge (MMLU Benchmark)(percent accuracy) | 86.5% (DeepSeek-V3) | — | — |
| Model Size Options Available(count) | 2 primary versions (limited small sizes) | — | — |
| Inference Cost per 1M Tokens(USD) | $0.21 (average) | — | — |
| Math Reasoning Accuracy (AIME Benchmark)(%) | 94% | — | — |
| Documentation Completeness Score(/10) | 4/10 | — | — |
| Community Size & Ecosystem(relative rank) | Emerging (rank #8 in AI models) | — | — |
| AIME Math Benchmark Score(%) | 79.8% | — | — |
| Estimated Training Cost(USD millions) | $5.5M | — | — |
| Code Generation - Codeforces Problems Solved(problems) | 70+ advanced problems | — | — |
| API Cost (per 1M input tokens)(USD) | $0.14 | — | — |
| AIME 2024 Math Reasoning Accuracy(%) | 94% | — | — |
| Average Response Latency(ms) | 250ms | — | — |
| Context Window Size(tokens) | 128K | 100,000 (Claude 3) | |
| API Cost per 1M Input Tokens(USD) | $0.14-0.27 | — | — |
| AIME 2024 Reasoning Benchmark(percent correct) | 96% | — | — |
| Monthly Subscription Cost (Individual)(USD) | $0.00 (Free tier available) | — | — |
| Code Generation Benchmark (LMSYS)(%) | 82% | — | — |
| Windows OS Market Share(%) | 0% (external integration required) | — | — |
| API Input Cost per 1M Tokens(USD) | $0.14 | $0.20 | |
| API Output Cost per 1M Tokens(USD) | $0.28 | $0.60 | |
| HumanEval Coding Pass Rate(percent) | 96.3% | 92% | |
| Average Citations per Response(count) | 2-5 | 15-20 | |
| AIME 2024 Reasoning Accuracy(percent) | 71% | 60% | |
| HumanEval Code Pass Rate(%) | 96.3% | — | — |
| Largest Model Size(B parameters) | 671B | — | — |
| API Pricing (Input Tokens)(USD per 1M tokens) | $0.07 | — | — |
| MMLU Benchmark (General Knowledge)(%) | 92.3% | — | — |
| AIME 2024 Benchmark Score(%) | 96.3% | — | — |
| Inference Speed(tokens/second) | 45 tokens/sec | — | — |
| Supported Languages | Chinese, English (beta expansion) | — | — |
| Model Quantization Formats(count) | 4 formats | — | — |
| Time to Market (Latest Model Release)(months) | 8 months | — | — |
| Open Source Models Available(model families) | 3 families | — | — |
| Base Model Quality (MMLU Benchmark)(percentage correct) | DeepSeek-V3: 88.5% | — | — |
| Context Window(tokens) | 128,000 tokens | — | — |
| Enterprise Integration Points(count) | Chat UI and API only | — | — |
| Geographic Availability(countries) | Primarily China; limited beta elsewhere | — | — |
| Code Generation Benchmark (HumanEval)(percentage correct) | DeepSeek-V3: 93.2% | — | — |
| AIME Math Reasoning Score(%) | 71% | Not published | — |
| Free API Input Token Cost($ per 1M tokens) | $0.14 | N/A (search-based) | — |
| Free Tier Daily Limits(searches/queries) | Unlimited (with rate limits) | 5 | — |
| Pro Subscription Cost($/month) | N/A (pay-per-API) | $20 | — |
| Pro Tier Monthly Cost(USD) | $20 | $20 | |
| Global Market Share(%) | <1% | <1% | |
| Monthly Active Users(millions) | 45M+ | 45M+ | |
| Google Workspace App Integrations(apps) | 0-1 integrations | 0-1 integrations | |
| Free Daily Search Limit(searches per day) | 5 searches/day | 5 searches/day | |
| Premium Subscription Cost(USD/month) | $20/month | $20/month | |
| AI Model Options(count) | 2 primary models | 2 primary models | |
| Information Freshness(hours) | 24-48 hours | 24-48 hours | |
| Average Response Hallucination Rate(percent) | 3-5% | 3-5% | |
| Context Window (Conversation Memory)(tokens) | 6,000 tokens (approximate) | 6,000 tokens (approximate) | |
| Creative Writing User Satisfaction(percent) | 71% | 71% | |
| Research/Fact-Checking Satisfaction(percent) | 89% | 89% | |
| Maximum Context Window(tokens) | 150,000 | 150,000 | |
| Monthly Subscription Cost(USD) | $20 | $20 | |
| Citation/Source Attribution(percent) | 95% of responses | 95% of responses | |
| Source Citation Rate(percent) | 100% of responses cited | 100% of responses cited | |
| Custom AI Builder Ecosystem(custom builds available) | 150+ templates (emerging) | 150+ templates (emerging) |
Sourced from publicly available data ·
Key Differences
7 attributes compared head-to-head
D
2DeepSeekPerplexity leads2 ties
P
3PerplexityDeepSeek
Attribute
Perplexity
- Reasoning & code generation modelPrimary FunctionReal-time AI search engine
- No live web browsingReal-time Internet AccessYes, live web search integration(winner)
- No inline source linksSource CitationFull source attribution with links(winner)
- 71% (DeepSeek-R1)(winner)Reasoning Capability (AIME Score)Unknown/Not published
- Free tier available, lower API costs(winner)Cost ModelFree tier limited, paid subscription required
- ChinaGeographic OriginUnited States
- April 2024Data Privacy (Knowledge Cutoff)Real-time (current)(winner)
- Primary Function
DeepSeek
Reasoning & code generation model
Perplexity
Real-time AI search engine
- Real-time Internet Access
DeepSeek
No live web browsing
Perplexity
Yes, live web search integration(winner)
- Source Citation
DeepSeek
No inline source links
Perplexity
Full source attribution with links(winner)
- Reasoning Capability (AIME Score)
DeepSeek
71% (DeepSeek-R1)(winner)
Perplexity
Unknown/Not published
- Cost Model
DeepSeek
Free tier available, lower API costs(winner)
Perplexity
Free tier limited, paid subscription required
- Geographic Origin
DeepSeek
China
Perplexity
United States
- Data Privacy (Knowledge Cutoff)
DeepSeek
April 2024
Perplexity
Real-time (current)(winner)
Full Comparison
| Attribute | DeepSeek | Perplexity |
|---|---|---|
| API Cost (Input Tokens)($ per million tokens) | $0.014 (DeepSeek-Chat) | — |
| Minimum Monthly Cost (Consumer)($) | Free tier available | — |
| Minimum Subscription Cost(USD/month) | Free (with API credits) | — |
| API Cost per Million Input Tokens(USD) | $0.14 | — |
| API Cost (per 1M input tokens)(USD) | $0.14 | — |
Show 12 more attributesAPI Cost per 1M Input Tokens(USD) $0.14-0.27 — Monthly Subscription Cost (Individual)(USD) $0.00 (Free tier available) — API Input Cost per 1M Tokens(USD) $0.14 $0.20 API Output Cost per 1M Tokens(USD) $0.28 $0.60 Free Tier Availability Free chat beta (limited tokens) Yes (5 daily searches) Free API Input Token Cost($ per 1M tokens) $0.14 N/A (search-based) Free Tier Daily Limits(searches/queries) Unlimited (with rate limits) 5 Pro Subscription Cost($/month) N/A (pay-per-API) $20 Pro Tier Monthly Cost(USD) $20 — Premium Subscription Cost(USD/month) $20/month — Monthly Subscription Cost(USD) $20 — Free Tier Functionality(null) Full web search + citations — | ||
| Reasoning Benchmark Score(percentile) | Top-tier (R1/V3.2 optimized) | — |
| Reasoning Task Performance (GPQA Benchmark)(percentage) | 92% (R1) | — |
| AIME 2024 Benchmark (Math Reasoning)(percent) | 96.3% | — |
| MMLU General Knowledge Benchmark(percent) | 92.3% | — |
| LiveCodeBench Score(percent) | 88.7% | — |
Show 18 more attributesMath Reasoning Accuracy (AIME 2024)(percent correct) 79.8% — Code Generation Performance (HumanEval)(%) 92.3% (DeepSeek-V3) — General Knowledge (MMLU Benchmark)(percent accuracy) 86.5% (DeepSeek-V3) — Math Reasoning Accuracy (AIME Benchmark)(%) 94% — AIME Math Benchmark Score(%) 79.8% — Code Generation - Codeforces Problems Solved(problems) 70+ advanced problems — Average Response Latency(ms) 250ms — AIME 2024 Reasoning Benchmark(percent correct) 96% — Code Generation Benchmark (LMSYS)(%) 82% — HumanEval Coding Pass Rate(percent) 96.3% 92% AIME 2024 Reasoning Accuracy(percent) 71% 60% AIME 2024 Benchmark Score(%) 96.3% — Inference Speed(tokens/second) 45 tokens/sec — Base Model Quality (MMLU Benchmark)(percentage correct) DeepSeek-V3: 88.5% — Code Generation Benchmark (HumanEval)(percentage correct) DeepSeek-V3: 93.2% — AIME Math Reasoning Score(%) 71% Not published Response Time (Average)(seconds) 3–5 seconds — Benchmark Performance Ranking(percentile) Specialized benchmarks (research-focused) — | ||
| Multimodal Support | Text, emerging vision | — |
| Real-time Information Access | Full real-time web search | — |
| Multimodal Input Support(null) | Text-only (currently) | — |
| On-Premise Deployment | Yes, fully supported | — |
| Model Availability | Open-weight available | Proprietary (API/web only) |
| Minimum GPU VRAM for Full Model Inference(GB) | 40GB (with MoE efficiency) | — |
| Local Deployment Support | Not supported (API only) | — |
| Third-party Integrations(count) | Growing (API-focused) | — |
| User Interface Rating(out of 5 stars) | Technical, developer-centric | — |
| Microsoft 365 Integration | Limited (API-only) | — |
| Microsoft 365 Native Integration(integration points) | None (API only) | — |
| Enterprise Integration Points(count) | Chat UI and API only | — |
| Enterprise Data Compliance | Subject to Chinese data laws | — |
| Data Privacy (External Processing) | Higher risk - processed by DeepSeek servers | — |
| Context Window Size (V3/O1)(tokens) | 4,096 tokens (DeepSeek-V3) | — |
| Context Window(tokens) | 128,000 tokens | — |
| Context Window (Conversation Memory)(tokens) | 6,000 tokens (approximate) | — |
| Maximum Context Window(tokens) | 150,000 | — |
| API Input Token Cost(USD per 1M tokens) | $0.14 | — |
| Estimated Training Cost(USD millions) | $5.5M | — |
| API Pricing (per 1M tokens, input)(USD) | Not publicly available | — |
| Largest Model Parameter Count(parameters) | 685B (DeepSeek-V3) | — |
| Open-Source Weight Availability | Partial (R1 inference-only) | — |
| Commercial Use Clarity(null) | Restricted in some jurisdictions; unclear terms | — |
| Open Source License | Closed, proprietary | — |
| Company Location | China | — |
| Source Code Availability | Closed-source, API-only | — |
| Model Size Options Available(count) | 2 primary versions (limited small sizes) | — |
| Largest Model Size(B parameters) | 671B | — |
| Inference Cost per 1M Tokens(USD) | $0.21 (average) | — |
| API Pricing (Input Tokens)(USD per 1M tokens) | $0.07 | — |
| Commercial License Type | Proprietary with restrictions | — |
| Model License Type | MIT Open-source | — |
| Documentation Completeness Score(/10) | 4/10 | — |
| Source Citation System | Real-time citations with verification | — |
| Source Citations Provided(yes/no) | Yes (clickable links) | — |
| Community Size & Ecosystem(relative rank) | Emerging (rank #8 in AI models) | — |
| Monthly Active Users(millions) | 45M+ | — |
| Real-time Web Access | No | Yes |
| Native Image Generation | None | — |
| Enterprise API Availability | Limited beta access | — |
| Vision Capability(supported formats) | Limited (text-focused) | — |
| Real-Time Web Search | No (cutoff April 2024) | Yes (live results) |
Show 6 more attributesAverage Citations per Response(count) 2-5 15-20 Source Citation Capability No inline sources Full source links Answer Synthesis with Citations(capability level) Native real-time citations — Source Citation Prominence Inline citations with clickable links throughout response — API Access for Developers Limited API access in beta — Web Search Integration(null) All tiers (free + paid) — | ||
| AIME 2024 Math Reasoning Accuracy(%) | 94% | — |
| HumanEval Code Pass Rate(%) | 96.3% | — |
| MMLU Benchmark (General Knowledge)(%) | 92.3% | — |
| Monthly Active Users(millions) | ~8 million | 15-20 million(winner) |
| Context Window Size(tokens) | 128K | 100,000 (Claude 3)(winner) |
| Multimodal Reasoning | Basic (text-focused with limited image support) | — |
| Best for Document Analysis Scale | Web-based research and summaries | — |
| Training Data Recency | 8 months old (April 2024) | Real-time (updated daily) |
| Open Source Model Weights | Yes, publicly available | — |
| Open Source Models Available(model families) | 3 families | — |
| Windows OS Market Share(%) | 0% (external integration required) | — |
| Self-hosting/Local Deployment | Fully Supported | — |
| Model Quantization Formats(count) | 4 formats | — |
| US Market Accessibility | Restricted/Limited | Fully Accessible |
| Commercial Deployment Restrictions | U.S. export restrictions (China-based) | — |
| Technical Transparency | Limited disclosure, proprietary | — |
| Supported Languages | Chinese, English (beta expansion) | — |
| Time to Market (Latest Model Release)(months) | 8 months | — |
| Geographic Availability(countries) | Primarily China; limited beta elsewhere | — |
| Knowledge Cutoff Date | April 2024 | Real-time (daily) |
| Primary Use Case | Research & real-time information retrieval | — |
| Reasoning Model Capability | Standard and integrated third-party models | — |
| Third-Party Integration Ecosystem | Limited but growing integrations | — |
| Research Organization Features | Deep Research with superior organization | — |
| Monthly Query Volume (2026)(billion queries/month) | 1.2–1.5 billion | — |
| Global Market Share(%) | <1% | — |
| Search Ad Market Share(percentage) | <5% | — |
| Deep Research Capability(feature availability) | Full Deep Research with multi-step analysis | — |
| Estimated Annual Revenue (ARR)(millions USD) | $450M ARR | — |
| Live Web Search Access | Direct live web access (primary) | — |
| Citation Format | Numbered inline references with report export | — |
| Information Currency | Real-time via live web access | — |
| Source Verification Transparency | High (direct source links with verification) | — |
| Google Workspace App Integrations(apps) | 0-1 integrations | — |
| Free Daily Search Limit(searches per day) | 5 searches/day | — |
| User Data Tracking | Tracks searches, interactions, and IP address | — |
| AI Model Options(count) | 2 primary models | — |
| Mobile App Quality | Dedicated iOS/Android apps with 4.6/5 rating | — |
| Information Freshness(hours) | 24-48 hours | — |
| Average Response Hallucination Rate(percent) | 3-5% | — |
| Citation/Source Attribution(percent) | 95% of responses | — |
| Free Tier Daily Message Limit(messages/day) | Unlimited standard searches + 5 pro searches | — |
| Creative Writing User Satisfaction(percent) | 71% | — |
| Research/Fact-Checking Satisfaction(percent) | 89% | — |
| Web Search Availability | Built-in real-time search | — |
| Long-Form Writing Quality | Good (optimized for conciseness) | — |
| Code Generation Capability | Basic support | — |
| Knowledge Cutoff(null) | Daily updates (live web) | — |
| Source Citation Rate(percent) | 100% of responses cited | — |
| Custom AI Builder Ecosystem(custom builds available) | 150+ templates (emerging) | — |
DDeepSeek
PPerplexity
API Cost (Input Tokens)($ per million tokens)
$0.014 (DeepSeek-Chat)
—
Minimum Monthly Cost (Consumer)($)
Free tier available
—
Minimum Subscription Cost(USD/month)
Free (with API credits)
—
API Cost per Million Input Tokens(USD)
$0.14
—
API Cost (per 1M input tokens)(USD)
$0.14
—
Show 12 more attributes
API Cost per 1M Input Tokens(USD)
$0.14-0.27
—
Monthly Subscription Cost (Individual)(USD)
$0.00 (Free tier available)
—
API Input Cost per 1M Tokens(USD)
$0.14
$0.20
API Output Cost per 1M Tokens(USD)
$0.28
$0.60
Free Tier Availability
Free chat beta (limited tokens)
Yes (5 daily searches)
Free API Input Token Cost($ per 1M tokens)
$0.14
N/A (search-based)
Free Tier Daily Limits(searches/queries)
Unlimited (with rate limits)
5
Pro Subscription Cost($/month)
N/A (pay-per-API)
$20
Pro Tier Monthly Cost(USD)
$20
—
Premium Subscription Cost(USD/month)
$20/month
—
Monthly Subscription Cost(USD)
$20
—
Free Tier Functionality(null)
Full web search + citations
—
Reasoning Benchmark Score(percentile)
Top-tier (R1/V3.2 optimized)
—
Reasoning Task Performance (GPQA Benchmark)(percentage)
92% (R1)
—
AIME 2024 Benchmark (Math Reasoning)(percent)
96.3%
—
MMLU General Knowledge Benchmark(percent)
92.3%
—
LiveCodeBench Score(percent)
88.7%
—
Show 18 more attributes
Math Reasoning Accuracy (AIME 2024)(percent correct)
79.8%
—
Code Generation Performance (HumanEval)(%)
92.3% (DeepSeek-V3)
—
General Knowledge (MMLU Benchmark)(percent accuracy)
86.5% (DeepSeek-V3)
—
Math Reasoning Accuracy (AIME Benchmark)(%)
94%
—
AIME Math Benchmark Score(%)
79.8%
—
Code Generation - Codeforces Problems Solved(problems)
70+ advanced problems
—
Average Response Latency(ms)
250ms
—
AIME 2024 Reasoning Benchmark(percent correct)
96%
—
Code Generation Benchmark (LMSYS)(%)
82%
—
HumanEval Coding Pass Rate(percent)
96.3%
92%
AIME 2024 Reasoning Accuracy(percent)
71%
60%
AIME 2024 Benchmark Score(%)
96.3%
—
Inference Speed(tokens/second)
45 tokens/sec
—
Base Model Quality (MMLU Benchmark)(percentage correct)
DeepSeek-V3: 88.5%
—
Code Generation Benchmark (HumanEval)(percentage correct)
DeepSeek-V3: 93.2%
—
AIME Math Reasoning Score(%)
71%
Not published
Response Time (Average)(seconds)
3–5 seconds
—
Benchmark Performance Ranking(percentile)
Specialized benchmarks (research-focused)
—
Multimodal Support
Text, emerging vision
—
Real-time Information Access
Full real-time web search
—
Multimodal Input Support(null)
Text-only (currently)
—
On-Premise Deployment
Yes, fully supported
—
Model Availability
Open-weight available
Proprietary (API/web only)
Minimum GPU VRAM for Full Model Inference(GB)
40GB (with MoE efficiency)
—
Local Deployment Support
Not supported (API only)
—
Third-party Integrations(count)
Growing (API-focused)
—
User Interface Rating(out of 5 stars)
Technical, developer-centric
—
Microsoft 365 Integration
Limited (API-only)
—
Microsoft 365 Native Integration(integration points)
None (API only)
—
Enterprise Integration Points(count)
Chat UI and API only
—
Enterprise Data Compliance
Subject to Chinese data laws
—
Data Privacy (External Processing)
Higher risk - processed by DeepSeek servers
—
Context Window Size (V3/O1)(tokens)
4,096 tokens (DeepSeek-V3)
—
Context Window(tokens)
128,000 tokens
—
Context Window (Conversation Memory)(tokens)
6,000 tokens (approximate)
—
Maximum Context Window(tokens)
150,000
—
API Input Token Cost(USD per 1M tokens)
$0.14
—
Estimated Training Cost(USD millions)
$5.5M
—
API Pricing (per 1M tokens, input)(USD)
Not publicly available
—
Largest Model Parameter Count(parameters)
685B (DeepSeek-V3)
—
Open-Source Weight Availability
Partial (R1 inference-only)
—
Commercial Use Clarity(null)
Restricted in some jurisdictions; unclear terms
—
Open Source License
Closed, proprietary
—
Company Location
China
—
Source Code Availability
Closed-source, API-only
—
Model Size Options Available(count)
2 primary versions (limited small sizes)
—
Largest Model Size(B parameters)
671B
—
Inference Cost per 1M Tokens(USD)
$0.21 (average)
—
API Pricing (Input Tokens)(USD per 1M tokens)
$0.07
—
Commercial License Type
Proprietary with restrictions
—
Model License Type
MIT Open-source
—
Documentation Completeness Score(/10)
4/10
—
Source Citation System
Real-time citations with verification
—
Source Citations Provided(yes/no)
Yes (clickable links)
—
Community Size & Ecosystem(relative rank)
Emerging (rank #8 in AI models)
—
Monthly Active Users(millions)
45M+
—
Real-time Web Access
No
Yes
Native Image Generation
None
—
Enterprise API Availability
Limited beta access
—
Vision Capability(supported formats)
Limited (text-focused)
—
Real-Time Web Search
No (cutoff April 2024)
Yes (live results)
Show 6 more attributes
Average Citations per Response(count)
2-5
15-20
Source Citation Capability
No inline sources
Full source links
Answer Synthesis with Citations(capability level)
Native real-time citations
—
Source Citation Prominence
Inline citations with clickable links throughout response
—
API Access for Developers
Limited API access in beta
—
Web Search Integration(null)
All tiers (free + paid)
—
AIME 2024 Math Reasoning Accuracy(%)
94%
—
HumanEval Code Pass Rate(%)
96.3%
—
MMLU Benchmark (General Knowledge)(%)
92.3%
—
Monthly Active Users(millions)
~8 million
15-20 million
Context Window Size(tokens)
128K
100,000 (Claude 3)
Multimodal Reasoning
Basic (text-focused with limited image support)
—
Best for Document Analysis Scale
Web-based research and summaries
—
Training Data Recency
8 months old (April 2024)
Real-time (updated daily)
Open Source Model Weights
Yes, publicly available
—
Open Source Models Available(model families)
3 families
—
Windows OS Market Share(%)
0% (external integration required)
—
Self-hosting/Local Deployment
Fully Supported
—
Model Quantization Formats(count)
4 formats
—
US Market Accessibility
Restricted/Limited
Fully Accessible
Commercial Deployment Restrictions
U.S. export restrictions (China-based)
—
Technical Transparency
Limited disclosure, proprietary
—
Supported Languages
Chinese, English (beta expansion)
—
Time to Market (Latest Model Release)(months)
8 months
—
Geographic Availability(countries)
Primarily China; limited beta elsewhere
—
Knowledge Cutoff Date
April 2024
Real-time (daily)
Primary Use Case
Research & real-time information retrieval
—
Reasoning Model Capability
Standard and integrated third-party models
—
Third-Party Integration Ecosystem
Limited but growing integrations
—
Research Organization Features
Deep Research with superior organization
—
Monthly Query Volume (2026)(billion queries/month)
1.2–1.5 billion
—
Global Market Share(%)
<1%
—
Search Ad Market Share(percentage)
<5%
—
Deep Research Capability(feature availability)
Full Deep Research with multi-step analysis
—
Estimated Annual Revenue (ARR)(millions USD)
$450M ARR
—
Live Web Search Access
Direct live web access (primary)
—
Citation Format
Numbered inline references with report export
—
Information Currency
Real-time via live web access
—
Source Verification Transparency
High (direct source links with verification)
—
Google Workspace App Integrations(apps)
0-1 integrations
—
Free Daily Search Limit(searches per day)
5 searches/day
—
User Data Tracking
Tracks searches, interactions, and IP address
—
AI Model Options(count)
2 primary models
—
Mobile App Quality
Dedicated iOS/Android apps with 4.6/5 rating
—
Information Freshness(hours)
24-48 hours
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Average Response Hallucination Rate(percent)
3-5%
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Citation/Source Attribution(percent)
95% of responses
—
Free Tier Daily Message Limit(messages/day)
Unlimited standard searches + 5 pro searches
—
Creative Writing User Satisfaction(percent)
71%
—
Research/Fact-Checking Satisfaction(percent)
89%
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Web Search Availability
Built-in real-time search
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Long-Form Writing Quality
Good (optimized for conciseness)
—
Code Generation Capability
Basic support
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Knowledge Cutoff(null)
Daily updates (live web)
—
Source Citation Rate(percent)
100% of responses cited
—
Custom AI Builder Ecosystem(custom builds available)
150+ templates (emerging)
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Pros & Cons
10 pros·6 cons across both
D
P
D
DeepSeek
+5-3
Pros
- 71% accuracy on AIME math reasoning (top-tier performance)
- Free API access with competitive pricing ($0.14 per 1M input tokens)
- Open-weight model available for local deployment
- Excels at multi-step logical reasoning and algorithm design
- No surveillance of search queries due to no web access
Cons
- Knowledge cutoff April 2024 limits currency for recent events
- Cannot access real-time information or verify current facts
- Geopolitical concerns regarding Chinese origin and data handling
P
Perplexity
+5-3
Pros
- Real-time web search integration with current information
- Full source citations with hyperlinks for every claim
- Strong privacy model (doesn't track user search history in free tier)
- Specialized modes for research, academic, and writing tasks
- Multi-source aggregation reduces single-source misinformation
Cons
- Reasoning capability metrics not publicly benchmarked
- Free tier limited to 5 daily searches; Pro tier $20/month required
- Less specialized for code generation compared to DeepSeek
Frequently Asked Questions
5 questions
Perplexity is significantly better for current information. It has real-time web search integration with sources updated daily, while DeepSeek's knowledge cutoff is April 2024 and cannot access live web data. Perplexity cites specific sources, making it ideal for journalism and time-sensitive research.
Resources & Learn More
Curated sources to dive deeper
Where to Buy
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