software
ChatGPT vs Gemini 2026: Features & Performance
ChatGPT leads in conversational ability and reasoning tasks with 200M+ weekly users, while Gemini excels in multimodal capabilities (text, image, video, audio) and offers free access to advanced models, making the choice depend on specific use case priorities.
ChatGPT
Conversational AI assistant by OpenAI with advanced reasoning and multimodal capabilities.
Professionals doing coding, research, complex analysis, and users who prioritize reasoning quality over feature breadth
Score71%
VS
G(
Gemini (Google AI)
Google's multimodal AI assistant supporting text, image, video, and audio processing
Users working with multimedia content, researchers analyzing large documents, and those wanting advanced features without subscription
Score71%
Quick Answer
AI SummaryChatGPT leads in conversational ability and reasoning tasks with 200M+ weekly users, while Gemini excels in multimodal capabilities (text, image, video, audio) and offers free access to advanced models, making the choice depend on specific use case priorities.
Our Verdict
AI-assistedChoose ChatGPT if you prioritize conversational quality, advanced reasoning, and superior code generation for professional work—it remains the most trusted AI for complex tasks. Choose Gemini if you need multimodal processing, longer context windows, real-time web access without paywalls, and prefer a more accessible free tier for general productivity.
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ChatGPT
7.5/10
Gemini (Google AI)
7.5/10
G
TIE — neck and neck
Choose ChatGPT if
Professionals doing coding, research, complex analysis, and users who prioritize reasoning quality over feature breadth
G
Choose Gemini (Google AI) if
Users working with multimedia content, researchers analyzing large documents, and those wanting advanced features without subscription
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Key Differences at a Glance
- User Base:✓ ChatGPT wins(200M+ weekly active users vs ~90M weekly active users (estimated))
- Multimodal Capabilities:✓ Gemini (Google AI) wins(Text, image, video, and audio input/output vs Text and image input/output)
- Free Tier Model Quality:✓ Gemini (Google AI) wins(Gemini 2.0 Flash (advanced reasoning free) vs GPT-4o mini (limited reasoning))
Key Facts & Figures
74 numeric metrics compared
| Metric | ChatGPT | Gemini (Google AI) | Ratio |
|---|---|---|---|
| Pro Tier Monthly Cost(USD) | $20 | — | — |
| Plus Subscription Price(USD/month) | $20 | — | — |
| SWE-bench Verified Score(%) | ~70% | — | — |
| Context Window (Paid Tier)(tokens) | 128,000 | — | — |
| Minimum Monthly Cost for Advanced Features(USD) | $20 (Plus tier) | — | — |
| Third-Party App Integrations(count) | Thousands via Zapier and API | — | — |
| API Cost (Input Tokens)($ per million tokens) | $0.05-3.00 (varies by model) | — | — |
| Minimum Monthly Cost (Consumer)($) | $5 (ChatGPT Go) | — | — |
| Monthly Active Users(millions) | 200+ | — | — |
| Monthly Website Visits(millions) | 1,500+ | — | — |
| Subscription Cost (Annual)(USD) | $240 (ChatGPT Plus) | — | — |
| Monthly Premium Cost(USD) | $20 (Plus) / $200 (Pro) | — | — |
| Platform Integration Points(platforms) | 1 (standalone web/app) | — | — |
| Cost for Annual Pro Usage(USD/year) | $240 (Plus annually) | — | — |
| Premium Monthly Cost(USD) | $20/month | — | — |
| M365 Task Accuracy Rate(%) | 82% | — | — |
| Third-Party App Connections(apps) | Thousands via Zapier | — | — |
| Context Window (Tokens)(tokens) | 128,000 | — | — |
| Input Cost per Million Tokens(USD) | $5.00 | — | — |
| Output Cost per Million Tokens(USD) | $15.00 | — | — |
| Multimodal Format Support(formats) | 3 (text, image, voice) | — | — |
| Third-Party Integrations Available(count) | 10,000+ | — | — |
| Code Generation Benchmark Score(out of 100) | 92.3 | — | — |
| Reasoning Capability Rating(score (1-10)) | 8.5 | — | — |
| Free Tier Message Limit(messages/day) | 40 messages (GPT-4); unlimited (GPT-3.5) | — | — |
| ChatGPT Plus Monthly Cost(USD) | $20 | — | — |
| Response Speed(seconds) | 3-6 seconds average | — | — |
| Supported Languages(count) | 95+ languages | — | — |
| Plus/Premium Subscription Cost(USD per month) | $20 | — | — |
| Third-Party Integrations(count) | 5,000+ verified GPTs and plugins | — | — |
| Code Completion Latency(milliseconds) | 1,200-2,000ms (requires API call and context setup) | — | — |
| Supported Programming Languages(languages) | 20+ languages | — | — |
| Context Window(tokens) | 128,000 tokens (~96,000 words) | — | — |
| IDE Integration Support | 0 (web and API only) | — | — |
| Code Generation Accuracy (Python)(percent) | 67% correct on HumanEval benchmark | — | — |
| Context Switching Overhead(seconds per interaction) | 15-30 seconds (copy code, switch tabs, paste results) | — | — |
| Maximum Context Window(tokens) | 128,000 tokens (GPT-4o Pro) | 1,000,000 tokens (Gemini 2.0) | |
| Code Generation Benchmark(% correct (HumanEval)) | 78% accuracy | 71% accuracy | |
| Monthly Subscription Cost(USD) | $20/month (Plus tier) | $20/month (Advanced tier) | |
| Video Understanding Capacity(hours) | Not supported (text/images only) | Up to 2 hours per video | — |
| Response Latency(milliseconds) | 1,200-1,800ms average | 1,100-1,500ms average | |
| API Cost (per 1M input tokens)(USD) | $15 | — | — |
| AIME 2024 Math Reasoning Accuracy(%) | 96% | — | — |
| Average Response Latency(ms) | 800ms | — | — |
| Subscription Cost(USD/month) | $20 (ChatGPT Plus) | — | — |
| Document Summarization Time (10K words)(seconds) | 8-12 seconds | — | — |
| Weekly Active Users(millions) | 200M+ weekly users | 90M weekly users (estimated) | |
| AIME Math Benchmark Accuracy(percent) | 92% | — | — |
| HumanEval Code Generation Pass Rate(percent) | 90.2% | — | — |
| MMLU Benchmark Score(percent) | 92% | — | — |
| API Input Cost(USD per 1M tokens) | $15 (GPT-4 Turbo) | — | — |
| Hallucination Rate on Factual Tasks(percent) | 8-12% | — | — |
| Context Window (Maximum Tokens)(tokens) | 128,000 tokens | — | — |
| Coding Task Accuracy (HumanEval Benchmark)(%) | 86.5% | — | — |
| Average Response Hallucination Rate(percent) | 8-12% | — | — |
| Free Tier Daily Message Limit(messages/day) | 40-50 (approximate) | — | — |
| Context Window (Conversation Memory)(tokens) | 12,000 tokens (GPT-4 Turbo) | — | — |
| Creative Writing User Satisfaction(percent) | 92% | — | — |
| Research/Fact-Checking Satisfaction(percent) | 76% | — | — |
| Premium Tier Monthly Cost(USD) | $20 (Plus) | — | — |
| Custom AI Assistants Available(count) | 500,000+ | — | — |
| Mathematical Reasoning Accuracy(%) | 86% (GPT-4 on AIME problems) | — | — |
| Premium Subscription Cost(USD/month) | $20/month | — | — |
| Content Refusal Rate(%) | ~15% of edge-case queries | — | — |
| Input Token Cost(USD per 1M tokens) | $0.03 (GPT-4 Turbo) | — | — |
| Supported Input Formats(types) | Text, images, PDFs, audio, video | — | — |
| Code Generation Accuracy(percent) | 87% | — | — |
| Available Third-Party Integrations(platforms) | 1,000+ (via API, Zapier, Make, native integrations) | — | — |
| Maximum File Upload Size for Analysis(MB) | 120 MB per file (ChatGPT Plus) | — | — |
| In-Document Generation Speed(seconds) | 2-5 seconds (depends on query complexity) | — | — |
| Supported Languages for Code(count) | 50+ programming and markup languages | — | — |
| Context Window Size(tokens) | 128,000 (GPT-4o) | — | — |
| Source Citation Rate(percent) | 15-20% of responses cited | — | — |
| Custom AI Builder Ecosystem(custom builds available) | 500,000+ custom GPTs | — | — |
Sourced from publicly available data ·
Key Differences
7 attributes compared head-to-head
Gemini (Google AI) leads
G(
5Gemini (Google AI)ChatGPT
Attribute
Gemini (Google AI)
- 200M+ weekly active users(winner)User Base~90M weekly active users (estimated)
- Text and image input/outputMultimodal CapabilitiesText, image, video, and audio input/output(winner)
- GPT-4o mini (limited reasoning)Free Tier Model QualityGemini 2.0 Flash (advanced reasoning free)(winner)
- 128,000 tokensContext Window (Pro tier)1,000,000 tokens (Gemini 2.0)(winner)
- Available with ChatGPT PlusReal-time Web AccessBuilt-in for free tier(winner)
- $20/month or $200/month (Pro)Pricing for Advanced UseFree with ads, $20/month (Gemini Advanced)(winner)
- 78% correct on HumanEval benchmark(winner)Code Generation Accuracy71% correct on HumanEval benchmark
- User Base
ChatGPT
200M+ weekly active users(winner)
Gemini (Google AI)
~90M weekly active users (estimated)
- Multimodal Capabilities
ChatGPT
Text and image input/output
Gemini (Google AI)
Text, image, video, and audio input/output(winner)
- Free Tier Model Quality
ChatGPT
GPT-4o mini (limited reasoning)
Gemini (Google AI)
Gemini 2.0 Flash (advanced reasoning free)(winner)
- Context Window (Pro tier)
ChatGPT
128,000 tokens
Gemini (Google AI)
1,000,000 tokens (Gemini 2.0)(winner)
- Real-time Web Access
ChatGPT
Available with ChatGPT Plus
Gemini (Google AI)
Built-in for free tier(winner)
- Pricing for Advanced Use
ChatGPT
$20/month or $200/month (Pro)
Gemini (Google AI)
Free with ads, $20/month (Gemini Advanced)(winner)
- Code Generation Accuracy
ChatGPT
78% correct on HumanEval benchmark(winner)
Gemini (Google AI)
71% correct on HumanEval benchmark
Full Comparison
| Attribute | ChatGPT | Gemini (Google AI) |
|---|---|---|
| Free Tier Quality | GPT-3.5 (basic) | — |
| Free Tier Model Quality(equivalent tier) | GPT-4o mini (capable) | — |
| Web Search | Yes | — |
| Free Tier Web Access | Limited or subscription-only | — |
| Real-Time Web Access (Free Tier) | No | — |
| Screen/Visual Analysis | Yes, via GPT-4 Vision in Plus/Pro tiers | — |
| Real-Time Data Access | No (knowledge cutoff) | — |
Show 13 more attributesMultimodal Capability Score(capability level) Advanced (image, video, text, document analysis) — Image Generation Yes (DALL-E 3) — Mobile App Polished, top-rated — Real-Time Web Search Yes — Native Document Integration No - requires manual import — Real-time Web Search (Free Tier) No (Plus only) — Vision Capability(supported formats) Advanced (GPT-4V with OCR, charts, diagrams) — Voice/Audio Capabilities Yes (voice input/output) — Real-time Web Access ChatGPT Plus subscribers only Free for all users Real-Time Web Search (Free) No (requires Plus) — Image Generation Capability DALL-E 3 (free + paid) — Web Browsing Capability Yes (Plus/Pro users) — Web Search Integration(null) Paid Plus only ($20/month) — | ||
| Coding Blind Test Winner | Not favored | — |
| Long Document Handling | Moderate | — |
| Real-time Information Access | Knowledge cutoff with occasional browsing | — |
| Context Window (Paid Tier)(tokens) | 128,000 | — |
| Multimodal Support | Text, image, voice, video | — |
| Reasoning Task Performance | Very Strong (GPT-4o) | — |
Show 7 more attributesComplex Reasoning Accuracy(performance rating) GPT-4o: Superior accuracy on technical/logic problems — Creative Writing Instruction Adherence(quality rating) Excellent - follows detailed creative prompts precisely — Multimodal Format Support(formats) 3 (text, image, voice) — Reasoning Capability Rating(score (1-10)) 8.5 — Supported Input Modalities Text, images, voice (limited) Text, images, video, audio Supported Input Formats(types) Text, images, PDFs, audio, video — Multimodal Input Support(null) Images, video, audio, PDFs, files — | ||
| Execution Speed | Faster | — |
| Reasoning Benchmark Score(percentile) | Strong (GPT-4o/5.4 capable) | — |
| M365 Task Accuracy Rate(%) | 82% | — |
| Code Generation Benchmark Score(out of 100) | 92.3 | — |
| Response Speed(seconds) | 3-6 seconds average | — |
Show 10 more attributesCode Completion Latency(milliseconds) 1,200-2,000ms (requires API call and context setup) — Response Latency(milliseconds) 1,200-1,800ms average 1,100-1,500ms average Average Response Latency(ms) 800ms — Document Summarization Time (10K words)(seconds) 8-12 seconds — AIME Math Benchmark Accuracy(percent) 92% — HumanEval Code Generation Pass Rate(percent) 90.2% — MMLU Benchmark Score(percent) 92% — Coding Task Accuracy (HumanEval Benchmark)(%) 86.5% — Code Generation Accuracy(percent) 87% — In-Document Generation Speed(seconds) 2-5 seconds (depends on query complexity) — | ||
| Market Adoption 2026 | Broader ecosystem | — |
| Primary Use Case | Conversational assistance & content generation | — |
| Reasoning Model Capability | o1/o3 advanced reasoning series | — |
| Pro Tier Monthly Cost(USD) | $20 | — |
| Plus Subscription Price(USD/month) | $20 | — |
| Minimum Monthly Cost for Advanced Features(USD) | $20 (Plus tier) | — |
| API Cost (Input Tokens)($ per million tokens) | $0.05-3.00 (varies by model) | — |
| Minimum Monthly Cost (Consumer)($) | $5 (ChatGPT Go) | — |
Show 21 more attributesSubscription Cost (Annual)(USD) $240 (ChatGPT Plus) — Monthly Premium Cost(USD) $20 (Plus) / $200 (Pro) — Premium Monthly Cost(USD) $20/month — Free Tier Availability Available (full GPT-3.5) — Input Cost per Million Tokens(USD) $5.00 — Output Cost per Million Tokens(USD) $15.00 — Free tier GPT-5.5 mini (rate-limited) — Paid entry plan ChatGPT Plus $20/mo — Power-user tier Pro $100/mo · Pro Max $200/mo — Team plan ~$30/user/mo — API input (per 1M tokens) GPT-5.5: ~$2.50 — ChatGPT Plus Monthly Cost(USD) $20 — Monthly Cost(USD) $20 (ChatGPT Plus) — Monthly Subscription Cost(USD) $20/month (Plus tier) $20/month (Advanced tier) API Cost (per 1M input tokens)(USD) $15 — Subscription Cost(USD/month) $20 (ChatGPT Plus) — API Input Cost(USD per 1M tokens) $15 (GPT-4 Turbo) — Premium Tier Monthly Cost(USD) $20 (Plus) — Premium Subscription Cost(USD/month) $20/month — Free Plan Available Yes (GPT-3.5 free tier with limited queries) — Free Tier Functionality(null) GPT-3.5 only; limited messages — | ||
| Third-Party Integration Ecosystem | Hundreds of plugins and integrations | — |
| Research Organization Features | Projects feature | — |
| Source Citation System | Available but not primary focus | — |
| Source Citations Provided(yes/no) | No | — |
| Model Customization Options | Custom GPTs with established ecosystem | — |
| Parallel Model Processing | Single model per session | — |
| Memory & Context Window(tokens) | GPT-5.2 advanced context | — |
| Maximum File Upload Size for Analysis(MB) | 120 MB per file (ChatGPT Plus) | — |
| Context Window Size(tokens) | 128,000 (GPT-4o) | — |
| Real-Time Information Advantage(hours) | Web access in Plus tier | — |
| Information Synthesis Quality(rating) | Superior synthesis and judgment | — |
| SWE-bench Verified Score(%) | ~70% | — |
| Base AI Model | GPT-4, GPT-4o, o1, and newer models | — |
| Custom GPT/Agent Creation | Yes; extensive custom GPT ecosystem | — |
| Custom Instructions Support(boolean) | Advanced custom instructions system | — |
| Third-Party App Integrations(count) | Thousands via Zapier and API | — |
| Third-Party App Connections(apps) | Thousands via Zapier | — |
| Third-Party Integrations Available(count) | 10,000+ | — |
| Third-Party Integrations(count) | 5,000+ verified GPTs and plugins | — |
| Enterprise SLA & Compliance | Yes (ChatGPT Enterprise custom terms) | — |
| Enterprise Admin Controls | Basic (via API keys) | — |
| On-Premise Deployment | Limited (enterprise only) | — |
| User Interface Rating(out of 5 stars) | Consumer-friendly, polished | — |
| Monthly Active Users(millions) | 200+ | — |
| Monthly Website Visits(millions) | 1,500+ | — |
| Launch Date | November 2022 | — |
| Platform Availability | Web, iOS, Android, API | — |
| Supported Languages(count) | 95+ languages | — |
| Open Source Model Weights | No | — |
| Primary User Age Demographic(% under 35) | Mixed | — |
| Platform Integration Points(platforms) | 1 (standalone web/app) | — |
| Setup Time(minutes) | 5-10 (account creation, app download) | — |
| Cost for Annual Pro Usage(USD/year) | $240 (Plus annually) | — |
| Native Microsoft 365 Integration(integration level) | Manual copy-paste only | — |
| Windows OS Integration | Separate application | — |
| Google Workspace Integration | 3 | — |
| IDE Integration Support | 0 (web and API only) | — |
| Workspace Integration Type(null) | External (API + plugins) | — |
Show 2 more attributesNative Windows System Integration No — Available Third-Party Integrations(platforms) 1,000+ (via API, Zapier, Make, native integrations) — | ||
| Base Model Version | GPT-5.2 | — |
| Data Privacy Model | Processes public web data only | — |
| Context Window (Tokens)(tokens) | 128,000 | — |
| Context Window(tokens) | 128,000 tokens (~96,000 words) | — |
| Context Window (Maximum Tokens)(tokens) | 128,000 tokens | — |
| Context Window (Conversation Memory)(tokens) | 12,000 tokens (GPT-4 Turbo) | — |
| Free Tier Latest Model Access | GPT-4o | — |
| Headline model | GPT-5.5 (Plus/Pro) | — |
| Coding (SWE-bench Verified) | Strong (GPT-5.5) | — |
| Web grounding / citations | Yes (browse mode) | — |
| Multilingual quality | Strong across 50+ languages | — |
| Structured output / JSON mode | Strict JSON mode + tool calling | — |
Show 1 more attributeTraining data cut-off ~2025 (browse compensates) — | ||
| Image input | Yes | — |
| Voice mode | Yes — Advanced Voice | — |
| Agentic capability | Operator agent | — |
| Plugin Ecosystem(available plugins) | Largest (GPTs, Operator) | — |
| Custom AI Model Creation | Yes—Custom GPTs | — |
| Custom AI Assistants Available(count) | 500,000+ | — |
| Custom AI Builder Ecosystem(custom builds available) | 500,000+ custom GPTs | — |
| Prompt caching (API) | Automatic on supported models | — |
| Fine-tuning (API) | GPT-5.5-class + 4o-mini | — |
| On-prem / self-host | Cloud-only (Azure OpenAI closest) | — |
| API rate limits (Tier 1) | ~500 RPM / 90K TPM (GPT-5.5) | — |
| Windows 11/12 Native Integration | No—requires web/app | — |
| Base Model Quality (Reasoning) | GPT-4o / o1 (advanced) | — |
| Advanced Reasoning Model(model name) | GPT-4o & o1 reasoning | — |
| Free Tier Message Limit(messages/day) | 40 messages (GPT-4); unlimited (GPT-3.5) | — |
| Native Office Document Integration | No—manual upload required | — |
| API Availability(text) | Full API with fine-tuning | — |
| Monthly Active Users(millions) | 200 million | — |
| Free Tier Search Queries(queries per day) | Limited messages (no dedicated search) | — |
| Plus/Premium Subscription Cost(USD per month) | $20 | — |
| Source Citations(automatic inline) | Available (not default) | — |
| Knowledge Cutoff Date(month/year) | April 2024 | — |
| Supported Programming Languages(languages) | 20+ languages | — |
| Code Generation Accuracy (Python)(percent) | 67% correct on HumanEval benchmark | — |
| Hallucination Rate on Factual Tasks(percent) | 8-12% | — |
| Average Response Hallucination Rate(percent) | 8-12% | — |
| Hallucination Rate(% on factual queries) | 8-12% | — |
| Context Switching Overhead(seconds per interaction) | 15-30 seconds (copy code, switch tabs, paste results) | — |
| Maximum Context Window(tokens) | 128,000 tokens (GPT-4o Pro) | 1,000,000 tokens (Gemini 2.0)(winner) |
| Code Generation Benchmark(% correct (HumanEval)) | 78% accuracy(winner) | 71% accuracy |
| Video Understanding Capacity(hours) | Not supported (text/images only) | Up to 2 hours per video |
| Image Analysis Capability(null) | Available (vision-enabled) | — |
| AIME 2024 Math Reasoning Accuracy(%) | 96% | — |
| Training Data Recency | Current (December 2024) | — |
| Weekly Active Users(millions) | 200M+ weekly users(winner) | 90M weekly users (estimated) |
| Knowledge Currency | April 2024 cutoff | — |
| Content Filtering Strictness | Strict safety guidelines | — |
| Free Tier Daily Message Limit(messages/day) | 40-50 (approximate) | — |
| Creative Writing User Satisfaction(percent) | 92% | — |
| Research/Fact-Checking Satisfaction(percent) | 76% | — |
| Mathematical Reasoning Accuracy(%) | 86% (GPT-4 on AIME problems) | — |
| Content Refusal Rate(%) | ~15% of edge-case queries | — |
| Input Token Cost(USD per 1M tokens) | $0.03 (GPT-4 Turbo) | — |
| Code Generation Capability Level(complexity) | Advanced (multi-file, architecture design, debugging) | — |
| Supported Languages for Code(count) | 50+ programming and markup languages | — |
| Knowledge Cutoff(null) | April 2024 (GPT-4) | — |
| Source Citation Rate(percent) | 15-20% of responses cited | — |
ChatGPTGGemini (Google AI)
Free Tier Quality
GPT-3.5 (basic)
—
Free Tier Model Quality(equivalent tier)
GPT-4o mini (capable)
—
Web Search
Yes
—
Free Tier Web Access
Limited or subscription-only
—
Real-Time Web Access (Free Tier)
No
—
Screen/Visual Analysis
Yes, via GPT-4 Vision in Plus/Pro tiers
—
Real-Time Data Access
No (knowledge cutoff)
—
Show 13 more attributes
Multimodal Capability Score(capability level)
Advanced (image, video, text, document analysis)
—
Image Generation
Yes (DALL-E 3)
—
Mobile App
Polished, top-rated
—
Real-Time Web Search
Yes
—
Native Document Integration
No - requires manual import
—
Real-time Web Search (Free Tier)
No (Plus only)
—
Vision Capability(supported formats)
Advanced (GPT-4V with OCR, charts, diagrams)
—
Voice/Audio Capabilities
Yes (voice input/output)
—
Real-time Web Access
ChatGPT Plus subscribers only
Free for all users
Real-Time Web Search (Free)
No (requires Plus)
—
Image Generation Capability
DALL-E 3 (free + paid)
—
Web Browsing Capability
Yes (Plus/Pro users)
—
Web Search Integration(null)
Paid Plus only ($20/month)
—
Coding Blind Test Winner
Not favored
—
Long Document Handling
Moderate
—
Real-time Information Access
Knowledge cutoff with occasional browsing
—
Context Window (Paid Tier)(tokens)
128,000
—
Multimodal Support
Text, image, voice, video
—
Reasoning Task Performance
Very Strong (GPT-4o)
—
Show 7 more attributes
Complex Reasoning Accuracy(performance rating)
GPT-4o: Superior accuracy on technical/logic problems
—
Creative Writing Instruction Adherence(quality rating)
Excellent - follows detailed creative prompts precisely
—
Multimodal Format Support(formats)
3 (text, image, voice)
—
Reasoning Capability Rating(score (1-10))
8.5
—
Supported Input Modalities
Text, images, voice (limited)
Text, images, video, audio
Supported Input Formats(types)
Text, images, PDFs, audio, video
—
Multimodal Input Support(null)
Images, video, audio, PDFs, files
—
Execution Speed
Faster
—
Reasoning Benchmark Score(percentile)
Strong (GPT-4o/5.4 capable)
—
M365 Task Accuracy Rate(%)
82%
—
Code Generation Benchmark Score(out of 100)
92.3
—
Response Speed(seconds)
3-6 seconds average
—
Show 10 more attributes
Code Completion Latency(milliseconds)
1,200-2,000ms (requires API call and context setup)
—
Response Latency(milliseconds)
1,200-1,800ms average
1,100-1,500ms average
Average Response Latency(ms)
800ms
—
Document Summarization Time (10K words)(seconds)
8-12 seconds
—
AIME Math Benchmark Accuracy(percent)
92%
—
HumanEval Code Generation Pass Rate(percent)
90.2%
—
MMLU Benchmark Score(percent)
92%
—
Coding Task Accuracy (HumanEval Benchmark)(%)
86.5%
—
Code Generation Accuracy(percent)
87%
—
In-Document Generation Speed(seconds)
2-5 seconds (depends on query complexity)
—
Market Adoption 2026
Broader ecosystem
—
Primary Use Case
Conversational assistance & content generation
—
Reasoning Model Capability
o1/o3 advanced reasoning series
—
Pro Tier Monthly Cost(USD)
$20
—
Plus Subscription Price(USD/month)
$20
—
Minimum Monthly Cost for Advanced Features(USD)
$20 (Plus tier)
—
API Cost (Input Tokens)($ per million tokens)
$0.05-3.00 (varies by model)
—
Minimum Monthly Cost (Consumer)($)
$5 (ChatGPT Go)
—
Show 21 more attributes
Subscription Cost (Annual)(USD)
$240 (ChatGPT Plus)
—
Monthly Premium Cost(USD)
$20 (Plus) / $200 (Pro)
—
Premium Monthly Cost(USD)
$20/month
—
Free Tier Availability
Available (full GPT-3.5)
—
Input Cost per Million Tokens(USD)
$5.00
—
Output Cost per Million Tokens(USD)
$15.00
—
Free tier
GPT-5.5 mini (rate-limited)
—
Paid entry plan
ChatGPT Plus $20/mo
—
Power-user tier
Pro $100/mo · Pro Max $200/mo
—
Team plan
~$30/user/mo
—
API input (per 1M tokens)
GPT-5.5: ~$2.50
—
ChatGPT Plus Monthly Cost(USD)
$20
—
Monthly Cost(USD)
$20 (ChatGPT Plus)
—
Monthly Subscription Cost(USD)
$20/month (Plus tier)
$20/month (Advanced tier)
API Cost (per 1M input tokens)(USD)
$15
—
Subscription Cost(USD/month)
$20 (ChatGPT Plus)
—
API Input Cost(USD per 1M tokens)
$15 (GPT-4 Turbo)
—
Premium Tier Monthly Cost(USD)
$20 (Plus)
—
Premium Subscription Cost(USD/month)
$20/month
—
Free Plan Available
Yes (GPT-3.5 free tier with limited queries)
—
Free Tier Functionality(null)
GPT-3.5 only; limited messages
—
Third-Party Integration Ecosystem
Hundreds of plugins and integrations
—
Research Organization Features
Projects feature
—
Source Citation System
Available but not primary focus
—
Source Citations Provided(yes/no)
No
—
Model Customization Options
Custom GPTs with established ecosystem
—
Parallel Model Processing
Single model per session
—
Memory & Context Window(tokens)
GPT-5.2 advanced context
—
Maximum File Upload Size for Analysis(MB)
120 MB per file (ChatGPT Plus)
—
Context Window Size(tokens)
128,000 (GPT-4o)
—
Real-Time Information Advantage(hours)
Web access in Plus tier
—
Information Synthesis Quality(rating)
Superior synthesis and judgment
—
SWE-bench Verified Score(%)
~70%
—
Base AI Model
GPT-4, GPT-4o, o1, and newer models
—
Custom GPT/Agent Creation
Yes; extensive custom GPT ecosystem
—
Custom Instructions Support(boolean)
Advanced custom instructions system
—
Third-Party App Integrations(count)
Thousands via Zapier and API
—
Third-Party App Connections(apps)
Thousands via Zapier
—
Third-Party Integrations Available(count)
10,000+
—
Third-Party Integrations(count)
5,000+ verified GPTs and plugins
—
Enterprise SLA & Compliance
Yes (ChatGPT Enterprise custom terms)
—
Enterprise Admin Controls
Basic (via API keys)
—
On-Premise Deployment
Limited (enterprise only)
—
User Interface Rating(out of 5 stars)
Consumer-friendly, polished
—
Monthly Active Users(millions)
200+
—
Monthly Website Visits(millions)
1,500+
—
Launch Date
November 2022
—
Platform Availability
Web, iOS, Android, API
—
Supported Languages(count)
95+ languages
—
Open Source Model Weights
No
—
Primary User Age Demographic(% under 35)
Mixed
—
Platform Integration Points(platforms)
1 (standalone web/app)
—
Setup Time(minutes)
5-10 (account creation, app download)
—
Cost for Annual Pro Usage(USD/year)
$240 (Plus annually)
—
Native Microsoft 365 Integration(integration level)
Manual copy-paste only
—
Windows OS Integration
Separate application
—
Google Workspace Integration
3
—
IDE Integration Support
0 (web and API only)
—
Workspace Integration Type(null)
External (API + plugins)
—
Show 2 more attributes
Native Windows System Integration
No
—
Available Third-Party Integrations(platforms)
1,000+ (via API, Zapier, Make, native integrations)
—
Base Model Version
GPT-5.2
—
Data Privacy Model
Processes public web data only
—
Context Window (Tokens)(tokens)
128,000
—
Context Window(tokens)
128,000 tokens (~96,000 words)
—
Context Window (Maximum Tokens)(tokens)
128,000 tokens
—
Context Window (Conversation Memory)(tokens)
12,000 tokens (GPT-4 Turbo)
—
Free Tier Latest Model Access
GPT-4o
—
Headline model
GPT-5.5 (Plus/Pro)
—
Coding (SWE-bench Verified)
Strong (GPT-5.5)
—
Web grounding / citations
Yes (browse mode)
—
Multilingual quality
Strong across 50+ languages
—
Structured output / JSON mode
Strict JSON mode + tool calling
—
Show 1 more attribute
Training data cut-off
~2025 (browse compensates)
—
Image input
Yes
—
Voice mode
Yes — Advanced Voice
—
Agentic capability
Operator agent
—
Plugin Ecosystem(available plugins)
Largest (GPTs, Operator)
—
Custom AI Model Creation
Yes—Custom GPTs
—
Custom AI Assistants Available(count)
500,000+
—
Custom AI Builder Ecosystem(custom builds available)
500,000+ custom GPTs
—
Prompt caching (API)
Automatic on supported models
—
Fine-tuning (API)
GPT-5.5-class + 4o-mini
—
On-prem / self-host
Cloud-only (Azure OpenAI closest)
—
API rate limits (Tier 1)
~500 RPM / 90K TPM (GPT-5.5)
—
Windows 11/12 Native Integration
No—requires web/app
—
Base Model Quality (Reasoning)
GPT-4o / o1 (advanced)
—
Advanced Reasoning Model(model name)
GPT-4o & o1 reasoning
—
Free Tier Message Limit(messages/day)
40 messages (GPT-4); unlimited (GPT-3.5)
—
Native Office Document Integration
No—manual upload required
—
API Availability(text)
Full API with fine-tuning
—
Monthly Active Users(millions)
200 million
—
Free Tier Search Queries(queries per day)
Limited messages (no dedicated search)
—
Plus/Premium Subscription Cost(USD per month)
$20
—
Source Citations(automatic inline)
Available (not default)
—
Knowledge Cutoff Date(month/year)
April 2024
—
Supported Programming Languages(languages)
20+ languages
—
Code Generation Accuracy (Python)(percent)
67% correct on HumanEval benchmark
—
Hallucination Rate on Factual Tasks(percent)
8-12%
—
Average Response Hallucination Rate(percent)
8-12%
—
Hallucination Rate(% on factual queries)
8-12%
—
Context Switching Overhead(seconds per interaction)
15-30 seconds (copy code, switch tabs, paste results)
—
Maximum Context Window(tokens)
128,000 tokens (GPT-4o Pro)
1,000,000 tokens (Gemini 2.0)
Code Generation Benchmark(% correct (HumanEval))
78% accuracy
71% accuracy
Video Understanding Capacity(hours)
Not supported (text/images only)
Up to 2 hours per video
Image Analysis Capability(null)
Available (vision-enabled)
—
AIME 2024 Math Reasoning Accuracy(%)
96%
—
Training Data Recency
Current (December 2024)
—
Weekly Active Users(millions)
200M+ weekly users
90M weekly users (estimated)
Knowledge Currency
April 2024 cutoff
—
Content Filtering Strictness
Strict safety guidelines
—
Free Tier Daily Message Limit(messages/day)
40-50 (approximate)
—
Creative Writing User Satisfaction(percent)
92%
—
Research/Fact-Checking Satisfaction(percent)
76%
—
Mathematical Reasoning Accuracy(%)
86% (GPT-4 on AIME problems)
—
Content Refusal Rate(%)
~15% of edge-case queries
—
Input Token Cost(USD per 1M tokens)
$0.03 (GPT-4 Turbo)
—
Code Generation Capability Level(complexity)
Advanced (multi-file, architecture design, debugging)
—
Supported Languages for Code(count)
50+ programming and markup languages
—
Knowledge Cutoff(null)
April 2024 (GPT-4)
—
Source Citation Rate(percent)
15-20% of responses cited
—
Pros & Cons
10 pros·4 cons across both
G(
ChatGPT
+5-2
Pros
- Superior reasoning abilities and complex problem-solving (78% HumanEval score)
- 200M+ weekly users with established ecosystem and integrations
- Best-in-class code generation with explanations across 30+ languages
- Advanced reasoning mode (o1) for STEM and mathematical problems
- Voice capabilities with natural speech synthesis
Cons
- Requires $20/month subscription for GPT-4o with only 128K token context
- No built-in real-time web search in free tier, requires subscription for browsing
G(
Gemini (Google AI)
+5-2
Pros
- 1,000,000 token context window (8x larger than ChatGPT Pro) for handling documents
- Native multimodal support: video understanding, audio transcription, image analysis
- Free access to advanced Gemini 2.0 Flash model with real-time web search
- Deep integration with Google services (Gmail, Drive, Docs, Sheets, Calendar)
- Video understanding up to 2 hours of footage analysis
Cons
- Slightly lower code generation accuracy (71% vs ChatGPT's 78% on benchmarks)
- Reasoning tasks less refined than GPT-4o, more prone to verbose responses
Frequently Asked Questions
5 questions
ChatGPT generally produces more nuanced and contextually-aware creative writing due to its superior reasoning abilities and 200M-user feedback loop. However, Gemini's integration with Google's tools and real-time information access makes it better for content that requires current facts. For pure creative quality (poetry, stories, marketing copy), ChatGPT edges ahead; for research-backed content, Gemini wins.
Resources & Learn More
Curated sources to dive deeper
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Wikipedia
SmartReview Ratings
Aggregated ratings from Reddit, G2, Capterra, Trustpilot & more
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