software
Claude vs Perplexity 2026: AI Comparison
Claude excels at deep reasoning, coding, and multi-turn conversations with superior instruction-following, while Perplexity prioritizes real-time web search integration and citation transparency for information-seeking tasks. Claude is better for complex analytical work; Perplexity is better for current events and fact-checking.
C(
Claude (Anthropic)
Advanced AI assistant optimized for reasoning, coding, and long-form analysis.
Software engineers, researchers, data analysts, writers, and anyone needing deep reasoning or complex code generation without real-time information needs.
Score63%
VS
PA
Perplexity AI
Web-integrated AI search engine with real-time information and transparent source citations.
Researchers, journalists, students, fact-checkers, and anyone needing current information with transparent sourcing; less suitable for complex code generation or long-form creative work.
Score63%
Quick Answer
AI SummaryClaude excels at deep reasoning, coding, and multi-turn conversations with superior instruction-following, while Perplexity prioritizes real-time web search integration and citation transparency for information-seeking tasks. Claude is better for complex analytical work; Perplexity is better for current events and fact-checking.
Our Verdict
AI-assistedChoose Claude if you prioritize deep reasoning, coding tasks, long-form content creation, and working with large documents (200K token context). Choose Perplexity if you need current information, fact-checking, research with transparent sourcing, or real-time news analysis. For most users, Claude handles complex thinking better; Perplexity wins for information verification.
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C
Claude (Anthropic)
7.9/10
Perplexity AI
7.1/10
P
C
Choose Claude (Anthropic) if
Best pickSoftware engineers, researchers, data analysts, writers, and anyone needing deep reasoning or complex code generation without real-time information needs.
P
Choose Perplexity AI if
Researchers, journalists, students, fact-checkers, and anyone needing current information with transparent sourcing; less suitable for complex code generation or long-form creative work.
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Key Differences at a Glance
- Real-Time Web Search:✓ Perplexity AI wins(Built-in with live citations vs Not available (knowledge cutoff April 2024))
- Context Window Size:✓ Claude (Anthropic) wins(200,000 tokens (Claude 3.5 Sonnet) vs 127,000 tokens (Pro tier))
- Coding Performance (HumanEval):✓ Claude (Anthropic) wins(88.7% pass rate vs 81.2% pass rate)
Key Facts & Figures
81 numeric metrics compared
| Metric | Claude (Anthropic) | Perplexity AI | Ratio |
|---|---|---|---|
| Maximum Context Window(tokens) | 200,000 tokens | — | — |
| Ease of Use Score(/10) | 9.8/10 | — | — |
| Monthly Cost (Individual)(USD) | $20 | — | — |
| Code Generation Performance (HumanEval)(%) | 88.7% | — | — |
| Monthly Subscription Cost(USD) | $20/month (Claude Pro) | $20 | |
| Free Tier Message Limit(messages/day) | ~40 messages (limited) | — | — |
| Long-Form Writing Preference (User Survey)(%) | 72% prefer Claude | — | — |
| Coding Benchmark (HumanEval)(% pass rate) | 88.3% | 81.2% | |
| Document Upload Capability(max file size (MB)) | 20 MB per file | 5 MB per file | |
| API Cost (per 1M input tokens)(USD) | $3.00 | $1.00 (Pro API) | |
| Free Tier Search Limit(searches/day) | Unlimited (within limits) | 5 pro searches/day | — |
| Average Response Time(seconds) | 4.2 | 4 seconds | |
| MATH Benchmark Accuracy(%) | 92% | — | — |
| Long-Form Writing Quality Score(/100) | 93/100 | — | — |
| Input Token Pricing(USD per 1M tokens) | $3.00 | — | — |
| Safety Refusal Rate(%) | 12% (higher = stricter) | — | — |
| Context Window Size(KB) | 200,000 tokens | 64,000 tokens | |
| Code Generation Accuracy(percent) | 78% (HumanEval) | — | — |
| Pro Subscription Cost($/month) | $20/month | $20 | |
| Context Window(tokens) | 200,000 tokens | 127,000 (Pro tier) | |
| Code Generation Accuracy (HumanEval)(% pass rate) | 92.3% | — | — |
| MMLU Benchmark Score (Reasoning)(percentage) | 88.3% | — | — |
| API Cost (Input Tokens)(USD per million tokens) | $3.00 | — | — |
| Average Response Latency(seconds) | 3.2 sec | — | — |
| HumanEval Code Generation(percentage) | 92.3% | — | — |
| IFEval Instruction-Following(percentage) | 88.0% | — | — |
| HumanEval Benchmark (Coding)(% pass rate) | 92% | — | — |
| Subscription Cost (Premium)(USD/month) | $20 | — | — |
| Supported Languages(count) | 40+ | — | — |
| Context Window (Tokens)(tokens) | 200,000 tokens | — | — |
| Monthly Standalone Cost(USD) | $20/month (Claude Pro) | — | — |
| Response Time(seconds) | 2-5 seconds (standard), 15-30 seconds (extended thinking) | — | — |
| Maximum File Size(GB) | 20 MB per file | — | — |
| Coding Language Support(languages) | 100+ programming languages | — | — |
| AIME 2024 Reasoning Accuracy(percent) | 96.3% | — | — |
| Code Generation Pass Rate (HumanEval)(percent) | 92.3% | — | — |
| Premium Subscription Cost(USD/month) | $20/month | — | — |
| Memory & Context Window(tokens) | Extended with Context Compaction | Extended with Context Compaction | |
| Plus Subscription Price(USD/month) | $20 | $20 | |
| Output Quality(score/10) | 9.5/10 | 9.5/10 | |
| Ease of Use(score/10) | 9.7/10 | 9.7/10 | |
| Pricing Value(score/10) | 8.5/10 | 8.5/10 | |
| Accessibility(score/10) | 9.0/10 | 9.0/10 | |
| Token Context Window(tokens) | 200,000 (GPT-5.5) | 200,000 (GPT-5.5) | |
| Hallucination/Accuracy Rate(%) | 5-12% (LLM generation) | 5-12% (LLM generation) | |
| Cost to End Users(USD/year) | $0-200 (free tier + Pro) | $0-200 (free tier + Pro) | |
| Subscription Cost (Pro Tier)(USD/month) | $20/month | $20/month | |
| Source Citations Included(percent) | Comprehensive citations (95-100%) | Comprehensive citations (95-100%) | |
| User Base (Estimated)(millions) | 10+ million (as of 2025) | 10+ million (as of 2025) | |
| Free Search Limit(searches/day) | 5 searches/day | 5 searches/day | |
| Pro Plan Cost(USD/month) | $20/month | $20/month | |
| Response Citation Coverage(percent) | 100% of responses cited | 100% of responses cited | |
| Available AI Models(count) | 3+ models (Claude, GPT-4, Mistral) | 3+ models (Claude, GPT-4, Mistral) | |
| Active Monthly Users(millions) | ~5 million (2026) | ~5 million (2026) | |
| Free Tier Search Queries(queries per day) | 4 searches/day | 4 searches/day | |
| Plus/Premium Subscription Cost(USD per month) | $20 | $20 | |
| Source Citations Per Response(average citations) | 8-15 citations | 8-15 citations | |
| Free Tier Monthly Queries(queries) | Unlimited (basic) + 5 Pro searches | Unlimited (basic) + 5 Pro searches | |
| Code Generation Benchmark(% correct (HumanEval)) | 82.9% (Perplexity model) | 82.9% (Perplexity model) | |
| Ecosystem Integration Points(number of platforms) | 3 (Web, browser extension, API) | 3 (Web, browser extension, API) | |
| Free Tier Monthly Searches(searches) | 600 | 600 | |
| Free Tier Query Limit(queries/day) | 20 queries/day | 20 queries/day | |
| Token Context Window (Free)(tokens) | 100,000 | 100,000 | |
| Source Citation Rate(percent) | 95% | 95% | |
| Image Generation Included(images/day) | 0 | 0 | |
| Research Paper Access(papers available) | 200,000,000 | 200,000,000 | |
| Series Funding(USD millions) | $500M+ | $500M+ | |
| Citation Accuracy Rate(percent) | 92% | 92% | |
| Free Tier Daily Search Limit(searches per day) | 5 searches | 5 searches | |
| AI Model Options Available(count) | 3 primary models | 3 primary models | |
| Launch Year(year) | 2022 | 2022 | |
| Premium Plan Starting Price(USD per month) | $20 | $20 | |
| Free Daily Searches/Queries(queries/day) | 5 Pro searches (standard: unlimited basic) | 5 Pro searches (standard: unlimited basic) | |
| Monthly Pro Plan Cost(USD) | $20 | $20 | |
| Source Citation Quality(% with clickable links) | 95%+ (every claim cited) | 95%+ (every claim cited) | |
| Microsoft Integration Points(products) | 1 (web browser plugin only) | 1 (web browser plugin only) | |
| Underlying AI Models Available(count) | 3 selectable (GPT-4, Claude 3, Llama 2) | 3 selectable (GPT-4, Claude 3, Llama 2) | |
| Native Mobile App Rating(stars) | 4.6/5 (iOS App Store, 22,100 reviews) | 4.6/5 (iOS App Store, 22,100 reviews) | |
| Ads Per Search Results Page(count) | 0 (ad-free) | 0 (ad-free) | |
| Input Cost Per Million Tokens(USD) | $3.00 | $3.00 | |
| Output Cost Per Million Tokens(USD) | $15.00 | $15.00 |
Sourced from publicly available data ·
Key Differences
7 attributes compared head-to-head
C(
3Claude (Anthropic)Evenly matched1 tie
PA
3Perplexity AIClaude (Anthropic)
Attribute
Perplexity AI
- Not available (knowledge cutoff April 2024)Real-Time Web SearchBuilt-in with live citations(winner)
- 200,000 tokens (Claude 3.5 Sonnet)(winner)Context Window Size127,000 tokens (Pro tier)
- 88.7% pass rate(winner)Coding Performance (HumanEval)81.2% pass rate
- Limited inline citationsCitation TransparencyDetailed source attribution on every claim(winner)
- $3 input / $15 output (Claude 3.5 Sonnet)Cost Per Million Tokens$3 input / $15 output (Pro, with search)
- Superior chain-of-thought with extended thinking(winner)Reasoning Depth on Complex TasksAdequate but less comprehensive
- April 2024 cutoffKnowledge CurrencyReal-time via live web indexing(winner)
- Real-Time Web Search
Claude (Anthropic)
Not available (knowledge cutoff April 2024)
Perplexity AI
Built-in with live citations(winner)
- Context Window Size
Claude (Anthropic)
200,000 tokens (Claude 3.5 Sonnet)(winner)
Perplexity AI
127,000 tokens (Pro tier)
- Coding Performance (HumanEval)
Claude (Anthropic)
88.7% pass rate(winner)
Perplexity AI
81.2% pass rate
- Citation Transparency
Claude (Anthropic)
Limited inline citations
Perplexity AI
Detailed source attribution on every claim(winner)
- Cost Per Million Tokens
Claude (Anthropic)
$3 input / $15 output (Claude 3.5 Sonnet)
Perplexity AI
$3 input / $15 output (Pro, with search)
- Reasoning Depth on Complex Tasks
Claude (Anthropic)
Superior chain-of-thought with extended thinking(winner)
Perplexity AI
Adequate but less comprehensive
- Knowledge Currency
Claude (Anthropic)
April 2024 cutoff
Perplexity AI
Real-time via live web indexing(winner)
Full Comparison
| Attribute | Claude (Anthropic) | Perplexity AI |
|---|---|---|
| Maximum Context Window(tokens) | 200,000 tokens | — |
| Multimodal Vision Support | Image, PDF, video analysis | — |
| Context Window(tokens) | 200,000 tokens(winner) | 127,000 (Pro tier) |
| Context Window (Tokens)(tokens) | 200,000 tokens | — |
| Coding Language Support(languages) | 100+ programming languages | — |
| Source Citations Priority | Secondary feature | — |
| Persistent Memory | Yes (built-in memory system) | — |
| File Creation Capability | Yes (native file creation) | — |
| Native Web Search | Yes, built-in | — |
| Persistent Memory System | Yes, native persistent memory | — |
Show 11 more attributesReal-time Web Access No — Multimodal Capabilities Image only (Vision) — Video Processing Capability Not supported — Supported Input Modalities Text, Images (static) — Free Tier Web Access Included with unlimited quick searches — Real-time Web Search (Free Tier) Yes, unlimited searches — Ad-Free Experience Yes (free & paid tier) — Image Generation Included(images/day) 0 — Research Paper Access(papers available) 200,000,000 — AI Model Options Available(count) 3 primary models — Conversational Follow-ups Full conversation history supported — | ||
| Ease of Use Score(/10) | 9.8/10 | — |
| Ease of Use(score/10) | 9.7/10 | — |
| Answer Format Type | AI-synthesized paragraph with citations | — |
| Ads Per Search Results Page(count) | 0 (ad-free) | — |
| Free Tier Availability(text) | Free tier with limited usage | — |
| Monthly Cost (Individual)(USD) | $20 | — |
| Monthly Subscription Cost(USD) | $20/month (Claude Pro) | $20 |
| API Cost (per 1M input tokens)(USD) | $3.00 | $1.00 (Pro API)(winner) |
| Free Tier Search Limit(searches/day) | Unlimited (within limits) | 5 pro searches/day |
Show 16 more attributesPro Subscription Cost($/month) $20/month $20 Subscription Cost (Premium)(USD/month) $20 — Monthly Standalone Cost(USD) $20/month (Claude Pro) — Premium Subscription Cost(USD/month) $20/month — Plus Subscription Price(USD/month) $20 — Cost to End Users(USD/year) $0-200 (free tier + Pro) — Subscription Cost (Pro Tier)(USD/month) $20/month — Free Search Limit(searches/day) 5 searches/day — Free Tier Monthly Queries(queries) Unlimited (basic) + 5 Pro searches — Free Tier Monthly Searches(searches) 600 — Free Tier Daily Search Limit(searches per day) 5 searches — Premium Plan Starting Price(USD per month) $20 — Free Daily Searches/Queries(queries/day) 5 Pro searches (standard: unlimited basic) — Monthly Pro Plan Cost(USD) $20 — Input Cost Per Million Tokens(USD) $3.00 — Output Cost Per Million Tokens(USD) $15.00 — | ||
| Microsoft 365 Integration | Third-party via API | — |
| IDE Integrations Available(count) | VS Code, JetBrains, terminal-based | — |
| Google Workspace Integration | Limited (basic support) | — |
| Windows OS Integration | Third-party web access only | Browser extension only |
| Office 365 Integration Depth | No native integration | — |
Show 3 more attributesWorkspace Integration Limited (browser extension) — Office Suite Integration No native integration — Ecosystem Integration Points(number of platforms) 3 (Web, browser extension, API) — | ||
| Enterprise Adoption Rate(%) | Growing, API-first approach | — |
| Code Generation Performance (HumanEval)(%) | 88.7% | — |
| Coding Benchmark (HumanEval)(% pass rate) | 88.3%(winner) | 81.2% |
| Code Generation Accuracy(percent) | 78% (HumanEval) | — |
| Code Generation Accuracy (HumanEval)(% pass rate) | 92.3% | — |
| MMLU Benchmark Score (Reasoning)(percentage) | 88.3% | — |
Show 8 more attributesAverage Response Latency(seconds) 3.2 sec — HumanEval Code Generation(percentage) 92.3% — IFEval Instruction-Following(percentage) 88.0% — HumanEval Benchmark (Coding)(% pass rate) 92% — Response Time(seconds) 2-5 seconds (standard), 15-30 seconds (extended thinking) — AIME 2024 Reasoning Accuracy(percent) 96.3% — Code Generation Pass Rate (HumanEval)(percent) 92.3% — Output Quality(score/10) 9.5/10 — | ||
| Multimodal Input Support(null) | Images and documents only | — |
| Token Context Window (Free)(tokens) | 100,000 | — |
| Free Tier Message Limit(messages/day) | ~40 messages (limited) | — |
| Long-Form Writing Preference (User Survey)(%) | 72% prefer Claude | — |
| Real-time Internet Access | No (April 2024 cutoff) | Yes (live search) |
| Document Upload Capability(max file size (MB)) | 20 MB per file(winner) | 5 MB per file |
| Image Analysis Quality(supported formats) | JPEG, PNG, GIF, WEBP, PDF with vision processing | JPEG, PNG, WebP (basic analysis) |
| Real-Time Web Search | Limited capability | Built-in with live indexing |
| Extended Reasoning Mode | Not available | — |
| Source Citation System | Not provided | URLs with inline attribution |
| Source Citations Per Response(average citations) | 8-15 citations | — |
| Source Attribution | Full citation with links on every claim | — |
| Average Response Time(seconds) | 4.2 | 4 seconds(winner) |
| MATH Benchmark Accuracy(%) | 92% | — |
| Long-Form Writing Quality Score(/100) | 93/100 | — |
| Input Token Pricing(USD per 1M tokens) | $3.00 | — |
| Pricing Value(score/10) | 8.5/10 | — |
| Monthly Pricing Range(EUR) | €20-200 | — |
| Safety Refusal Rate(%) | 12% (higher = stricter) | — |
| Context Window Size(KB) | 200,000 tokens(winner) | 64,000 tokens |
| Primary AI Model(model) | Multi-model (Claude 3.5, GPT-4o, Llama) | — |
| Free Tier Model Quality(equivalent tier) | Claude 3.5 Haiku (near-Pro capability) | — |
| API Cost (Input Tokens)(USD per million tokens) | $3.00 | — |
| Monthly Active Users(millions) | ~50 million (Claude.ai) | 500 million (estimated)(winner) |
| Knowledge Cutoff Date(text) | April 2024 | Real-time (updated within hours) |
| Supported Languages(count) | 40+ | — |
| API Availability(text) | Comprehensive API with batching | — |
| Maximum File Size(GB) | 20 MB per file | — |
| Training Data Cutoff(month/year) | April 2024 (Claude 3.5 Sonnet) | — |
| Custom Instructions Support(boolean) | Yes, comprehensive custom instructions | — |
| Model Customization Options | Custom Skills for task automation | — |
| Parallel Model Processing | Model Council (multiple simultaneous) | — |
| Memory & Context Window(tokens) | Extended with Context Compaction | — |
| Real-Time Information Advantage(hours) | Live web integration for latest data | — |
| Information Synthesis Quality(rating) | Strong aggregation, moderate synthesis | — |
| Accessibility(score/10) | 9.0/10 | — |
| Token Context Window(tokens) | 200,000 (GPT-5.5) | — |
| Global Market Share(%) | <1% | — |
| Annual Revenue (2024)(USD billions) | Not publicly disclosed | — |
| Information Synthesis | AI-generated paragraph with citations | — |
| Hallucination/Accuracy Rate(%) | 5-12% (LLM generation) | — |
| Citation Accuracy Rate(percent) | 92% | — |
| Citation Transparency | Inline citations directly in answer text | — |
| Source Citations Included(percent) | Comprehensive citations (95-100%) | — |
| Source Citation Quality(% with clickable links) | 95%+ (every claim cited) | — |
| User Base (Estimated)(millions) | 10+ million (as of 2025) | — |
| Active Monthly Users(millions) | ~5 million (2026) | — |
| Pro Plan Cost(USD/month) | $20/month | — |
| Response Citation Coverage(percent) | 100% of responses cited | — |
| Available AI Models(count) | 3+ models (Claude, GPT-4, Mistral) | — |
| Advanced Reasoning Model(model name) | Claude 3.5 Sonnet (via selection) | — |
| Windows Integration | Limited (web access) | — |
| Microsoft Integration Points(products) | 1 (web browser plugin only) | — |
| Free Tier Search Queries(queries per day) | 4 searches/day | — |
| Plus/Premium Subscription Cost(USD per month) | $20 | — |
| Source Citations(automatic inline) | Yes (default on all answers) | — |
| Third-Party Integrations(integrations) | Limited (growing slowly) | — |
| Base AI Model | Proprietary + GPT-4 option | — |
| Code Generation Benchmark(% correct (HumanEval)) | 82.9% (Perplexity model) | — |
| Mobile App Availability(platforms) | iOS/Android (full-featured) | — |
| Indexed Web Pages(trillions) | Real-time web search (size unspecified) | — |
| Free Tier Query Limit(queries/day) | 20 queries/day | — |
| Source Citation Rate(percent) | 95% | — |
| Video Understanding | No | — |
| Series Funding(USD millions) | $500M+ | — |
| Query Data Retention Policy | Retained for model training | — |
| Launch Year(year) | 2022 | — |
| Underlying AI Models Available(count) | 3 selectable (GPT-4, Claude 3, Llama 2) | — |
| Native Mobile App Rating(stars) | 4.6/5 (iOS App Store, 22,100 reviews) | — |
| Annual Revenue(USD billions) | Undisclosed (venture-funded) | — |
| Primary Monetization Model | Freemium subscription ($20/month Pro) | — |
| Source Citation Format | Inline citations within answer text | — |
| Knowledge Cutoff | Real-time (daily updates) | — |
CClaude (Anthropic)
PPerplexity AI
Maximum Context Window(tokens)
200,000 tokens
—
Multimodal Vision Support
Image, PDF, video analysis
—
Context Window(tokens)
200,000 tokens
127,000 (Pro tier)
Context Window (Tokens)(tokens)
200,000 tokens
—
Coding Language Support(languages)
100+ programming languages
—
Source Citations Priority
Secondary feature
—
Persistent Memory
Yes (built-in memory system)
—
File Creation Capability
Yes (native file creation)
—
Native Web Search
Yes, built-in
—
Persistent Memory System
Yes, native persistent memory
—
Show 11 more attributes
Real-time Web Access
No
—
Multimodal Capabilities
Image only (Vision)
—
Video Processing Capability
Not supported
—
Supported Input Modalities
Text, Images (static)
—
Free Tier Web Access
Included with unlimited quick searches
—
Real-time Web Search (Free Tier)
Yes, unlimited searches
—
Ad-Free Experience
Yes (free & paid tier)
—
Image Generation Included(images/day)
0
—
Research Paper Access(papers available)
200,000,000
—
AI Model Options Available(count)
3 primary models
—
Conversational Follow-ups
Full conversation history supported
—
Ease of Use Score(/10)
9.8/10
—
Ease of Use(score/10)
9.7/10
—
Answer Format Type
AI-synthesized paragraph with citations
—
Ads Per Search Results Page(count)
0 (ad-free)
—
Free Tier Availability(text)
Free tier with limited usage
—
Monthly Cost (Individual)(USD)
$20
—
Monthly Subscription Cost(USD)
$20/month (Claude Pro)
$20
API Cost (per 1M input tokens)(USD)
$3.00
$1.00 (Pro API)
Free Tier Search Limit(searches/day)
Unlimited (within limits)
5 pro searches/day
Show 16 more attributes
Pro Subscription Cost($/month)
$20/month
$20
Subscription Cost (Premium)(USD/month)
$20
—
Monthly Standalone Cost(USD)
$20/month (Claude Pro)
—
Premium Subscription Cost(USD/month)
$20/month
—
Plus Subscription Price(USD/month)
$20
—
Cost to End Users(USD/year)
$0-200 (free tier + Pro)
—
Subscription Cost (Pro Tier)(USD/month)
$20/month
—
Free Search Limit(searches/day)
5 searches/day
—
Free Tier Monthly Queries(queries)
Unlimited (basic) + 5 Pro searches
—
Free Tier Monthly Searches(searches)
600
—
Free Tier Daily Search Limit(searches per day)
5 searches
—
Premium Plan Starting Price(USD per month)
$20
—
Free Daily Searches/Queries(queries/day)
5 Pro searches (standard: unlimited basic)
—
Monthly Pro Plan Cost(USD)
$20
—
Input Cost Per Million Tokens(USD)
$3.00
—
Output Cost Per Million Tokens(USD)
$15.00
—
Microsoft 365 Integration
Third-party via API
—
IDE Integrations Available(count)
VS Code, JetBrains, terminal-based
—
Google Workspace Integration
Limited (basic support)
—
Windows OS Integration
Third-party web access only
Browser extension only
Office 365 Integration Depth
No native integration
—
Show 3 more attributes
Workspace Integration
Limited (browser extension)
—
Office Suite Integration
No native integration
—
Ecosystem Integration Points(number of platforms)
3 (Web, browser extension, API)
—
Enterprise Adoption Rate(%)
Growing, API-first approach
—
Code Generation Performance (HumanEval)(%)
88.7%
—
Coding Benchmark (HumanEval)(% pass rate)
88.3%
81.2%
Code Generation Accuracy(percent)
78% (HumanEval)
—
Code Generation Accuracy (HumanEval)(% pass rate)
92.3%
—
MMLU Benchmark Score (Reasoning)(percentage)
88.3%
—
Show 8 more attributes
Average Response Latency(seconds)
3.2 sec
—
HumanEval Code Generation(percentage)
92.3%
—
IFEval Instruction-Following(percentage)
88.0%
—
HumanEval Benchmark (Coding)(% pass rate)
92%
—
Response Time(seconds)
2-5 seconds (standard), 15-30 seconds (extended thinking)
—
AIME 2024 Reasoning Accuracy(percent)
96.3%
—
Code Generation Pass Rate (HumanEval)(percent)
92.3%
—
Output Quality(score/10)
9.5/10
—
Multimodal Input Support(null)
Images and documents only
—
Token Context Window (Free)(tokens)
100,000
—
Free Tier Message Limit(messages/day)
~40 messages (limited)
—
Long-Form Writing Preference (User Survey)(%)
72% prefer Claude
—
Real-time Internet Access
No (April 2024 cutoff)
Yes (live search)
Document Upload Capability(max file size (MB))
20 MB per file
5 MB per file
Image Analysis Quality(supported formats)
JPEG, PNG, GIF, WEBP, PDF with vision processing
JPEG, PNG, WebP (basic analysis)
Real-Time Web Search
Limited capability
Built-in with live indexing
Extended Reasoning Mode
Not available
—
Source Citation System
Not provided
URLs with inline attribution
Source Citations Per Response(average citations)
8-15 citations
—
Source Attribution
Full citation with links on every claim
—
Average Response Time(seconds)
4.2
4 seconds
MATH Benchmark Accuracy(%)
92%
—
Long-Form Writing Quality Score(/100)
93/100
—
Input Token Pricing(USD per 1M tokens)
$3.00
—
Pricing Value(score/10)
8.5/10
—
Monthly Pricing Range(EUR)
€20-200
—
Safety Refusal Rate(%)
12% (higher = stricter)
—
Context Window Size(KB)
200,000 tokens
64,000 tokens
Primary AI Model(model)
Multi-model (Claude 3.5, GPT-4o, Llama)
—
Free Tier Model Quality(equivalent tier)
Claude 3.5 Haiku (near-Pro capability)
—
API Cost (Input Tokens)(USD per million tokens)
$3.00
—
Monthly Active Users(millions)
~50 million (Claude.ai)
500 million (estimated)
Knowledge Cutoff Date(text)
April 2024
Real-time (updated within hours)
Supported Languages(count)
40+
—
API Availability(text)
Comprehensive API with batching
—
Maximum File Size(GB)
20 MB per file
—
Training Data Cutoff(month/year)
April 2024 (Claude 3.5 Sonnet)
—
Custom Instructions Support(boolean)
Yes, comprehensive custom instructions
—
Model Customization Options
Custom Skills for task automation
—
Parallel Model Processing
Model Council (multiple simultaneous)
—
Memory & Context Window(tokens)
Extended with Context Compaction
—
Real-Time Information Advantage(hours)
Live web integration for latest data
—
Information Synthesis Quality(rating)
Strong aggregation, moderate synthesis
—
Accessibility(score/10)
9.0/10
—
Token Context Window(tokens)
200,000 (GPT-5.5)
—
Global Market Share(%)
<1%
—
Annual Revenue (2024)(USD billions)
Not publicly disclosed
—
Information Synthesis
AI-generated paragraph with citations
—
Hallucination/Accuracy Rate(%)
5-12% (LLM generation)
—
Citation Accuracy Rate(percent)
92%
—
Citation Transparency
Inline citations directly in answer text
—
Source Citations Included(percent)
Comprehensive citations (95-100%)
—
Source Citation Quality(% with clickable links)
95%+ (every claim cited)
—
User Base (Estimated)(millions)
10+ million (as of 2025)
—
Active Monthly Users(millions)
~5 million (2026)
—
Pro Plan Cost(USD/month)
$20/month
—
Response Citation Coverage(percent)
100% of responses cited
—
Available AI Models(count)
3+ models (Claude, GPT-4, Mistral)
—
Advanced Reasoning Model(model name)
Claude 3.5 Sonnet (via selection)
—
Windows Integration
Limited (web access)
—
Microsoft Integration Points(products)
1 (web browser plugin only)
—
Free Tier Search Queries(queries per day)
4 searches/day
—
Plus/Premium Subscription Cost(USD per month)
$20
—
Source Citations(automatic inline)
Yes (default on all answers)
—
Third-Party Integrations(integrations)
Limited (growing slowly)
—
Base AI Model
Proprietary + GPT-4 option
—
Code Generation Benchmark(% correct (HumanEval))
82.9% (Perplexity model)
—
Mobile App Availability(platforms)
iOS/Android (full-featured)
—
Indexed Web Pages(trillions)
Real-time web search (size unspecified)
—
Free Tier Query Limit(queries/day)
20 queries/day
—
Source Citation Rate(percent)
95%
—
Video Understanding
No
—
Series Funding(USD millions)
$500M+
—
Query Data Retention Policy
Retained for model training
—
Launch Year(year)
2022
—
Underlying AI Models Available(count)
3 selectable (GPT-4, Claude 3, Llama 2)
—
Native Mobile App Rating(stars)
4.6/5 (iOS App Store, 22,100 reviews)
—
Annual Revenue(USD billions)
Undisclosed (venture-funded)
—
Primary Monetization Model
Freemium subscription ($20/month Pro)
—
Source Citation Format
Inline citations within answer text
—
Knowledge Cutoff
Real-time (daily updates)
—
Pros & Cons
10 pros·6 cons across both
C(
PA
C(
Claude (Anthropic)
+5-3
Pros
- 200,000 token context window (4x larger than Perplexity)
- 88.7% pass rate on coding benchmarks (HumanEval), superior for programming tasks
- Extended thinking mode for complex multi-step problems
- Superior instruction-following and nuanced reasoning capabilities
- Can analyze full research papers, codebases, and lengthy documents in one conversation
Cons
- Knowledge cutoff in April 2024 — cannot access current events or real-time data
- No built-in web search — requires external tools for fact verification
- Limited transparency in source attribution compared to Perplexity
PA
Perplexity AI
+5-3
Pros
- Real-time web search built into every query with live indexing of current information
- Detailed source citations and links for every fact — enables fact-checking and verification
- Optimized for research, news analysis, and information-seeking with clear provenance
- Academic and News modes for specialized research workflows
- Transparent methodology — users see exactly which sources informed the response
Cons
- 127,000 token context window (35% smaller than Claude) — struggles with large document analysis
- 81.2% pass rate on coding benchmarks — noticeably weaker for complex programming tasks
- Less effective at deep reasoning on abstract or multi-step logical problems
Frequently Asked Questions
5 questions
Claude is significantly better for coding tasks. It achieves an 88.7% pass rate on HumanEval benchmarks compared to Perplexity's 81.2%, and its 200,000 token context window allows it to handle entire codebases. Claude's extended thinking mode also excels at multi-step debugging and architectural design decisions.
Resources & Learn More
Curated sources to dive deeper
Where to Buy
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