software
DeepSeek vs ChatGPT 2026: Cost vs Accuracy
ChatGPT remains the market leader with superior reasoning capabilities and a 200M+ user base, while DeepSeek offers significantly lower API costs (90% cheaper) and faster inference speeds, making it attractive for cost-conscious developers despite being less widely adopted.
D
DeepSeek
Closed Chinese AI model with advanced reasoning capabilities and proprietary API access.
Cost-sensitive developers, startups with tight budgets, researchers needing local model control, and applications prioritizing speed over reasoning complexity
Score63%
VS
ChatGPT
OpenAI's conversational AI platform available via web and mobile apps.
Enterprise organizations needing production-grade reliability, users requiring state-of-the-art reasoning for complex tasks, teams prioritizing seamless Microsoft integration, and applications where accuracy outweighs cost
Score63%
Quick Answer
AI SummaryChatGPT remains the market leader with superior reasoning capabilities and a 200M+ user base, while DeepSeek offers significantly lower API costs (90% cheaper) and faster inference speeds, making it attractive for cost-conscious developers despite being less widely adopted.
Our Verdict
AI-assistedChoose ChatGPT if you need best-in-class reasoning performance, comprehensive ecosystem integration, and access to the largest user community with proven reliability in production environments. Choose DeepSeek if you prioritize cost efficiency, want to run models locally, or need the fastest inference speeds for latency-sensitive applications where reasoning performance differences are acceptable.
Community feedback
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D
DeepSeek
8.1/10
ChatGPT
6.9/10
D
Choose DeepSeek if
Best pickCost-sensitive developers, startups with tight budgets, researchers needing local model control, and applications prioritizing speed over reasoning complexity
Choose ChatGPT if
Enterprise organizations needing production-grade reliability, users requiring state-of-the-art reasoning for complex tasks, teams prioritizing seamless Microsoft integration, and applications where accuracy outweighs cost
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Key Differences at a Glance
- API Cost per 1M Tokens:✓ DeepSeek wins($0.14 vs $15)
- Monthly Active Users:✓ ChatGPT wins(200+ million (as of 2025) vs ~8 million (2024 estimate))
- Response Latency (avg):✓ DeepSeek wins(250ms vs 800ms)
Key Facts & Figures
91 numeric metrics compared
| Metric | DeepSeek | ChatGPT | Ratio |
|---|---|---|---|
| API Cost (Input Tokens)($ per million tokens) | $0.014 (DeepSeek-Chat) | $0.05-3.00 (varies by model) | |
| Context Window(tokens) | 164K tokens | 128,000 tokens (~96,000 words) | |
| Minimum Monthly Cost (Consumer)($) | Free tier available | $5 (ChatGPT Go) | |
| Third-Party Integrations(count) | Growing (API-focused) | Extensive (10,000+ GPTs & plugins) | — |
| AIME Math Benchmark Score(%) | 94% | — | — |
| 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(billion 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)(percent pass rate) | 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) | — | — |
| API Cost (Per 1M Input Tokens)(USD) | $0.14 | $15 | |
| AIME 2024 Math Reasoning Accuracy(%) | 94% | 96% | |
| Average Response Latency(seconds) | 250ms | 800ms | |
| Context Window Size(tokens) | 128,000 | 128,000 | |
| API Cost per 1M Input Tokens(USD) | $0.14 | — | — |
| AIME 2024 Reasoning Benchmark(%) | 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 | — | — |
| API Output Cost per 1M Tokens(USD) | $0.28 | — | — |
| HumanEval Coding Pass Rate(percent) | 96.3% | — | — |
| Average Citations per Response(count) | 2-5 | — | — |
| AIME 2024 Reasoning Accuracy(percent) | 71% | — | — |
| 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% | — | — |
| Pro Tier Monthly Cost(USD) | $20 | $20 | |
| Plus Subscription Price(USD/month) | $20 | $20 | |
| SWE-bench Verified Score(%) | ~70% | ~70% | |
| Context Window (Paid Tier)(tokens) | 128,000 | 128,000 | |
| Minimum Monthly Cost for Advanced Features(USD) | $20 (Plus tier) | $20 (Plus tier) | |
| Third-party App Integrations(apps) | Thousands via Zapier and API | Thousands via Zapier and API | |
| Monthly Active Users(millions) | 200+ | 200+ | |
| Monthly Website Visits(millions) | 1,500+ | 1,500+ | |
| Subscription Cost (Annual)(USD) | $240 (ChatGPT Plus) | $240 (ChatGPT Plus) | |
| Monthly Premium Cost(USD) | $20 (Plus) / $200 (Pro) | $20 (Plus) / $200 (Pro) | |
| Platform Integration Points(platforms) | 1 (standalone web/app) | 1 (standalone web/app) | |
| Cost for Annual Pro Usage(USD/year) | $240 (Plus annually) | $240 (Plus annually) | |
| Premium Monthly Cost(USD) | $20/month | $20/month | |
| M365 Task Accuracy Rate(%) | 82% | 82% | |
| Third-Party App Connections(apps) | Thousands via Zapier | Thousands via Zapier | |
| Context Window (Tokens)(tokens) | 128,000 | 128,000 | |
| Input Cost per Million Tokens(USD) | $5.00 | $5.00 | |
| Output Cost per Million Tokens(USD) | $15.00 | $15.00 | |
| Multimodal Format Support(formats) | 3 (text, image, voice) | 3 (text, image, voice) | |
| Third-Party Integrations Available(integrations) | 10,000+ | 10,000+ | |
| Code Generation Benchmark Score(%) | 92.3 | 92.3 | |
| Reasoning Capability Rating(score (1-10)) | 8.5 | 8.5 | |
| Free Tier Message Limit(messages/day) | 40 messages (GPT-4); unlimited (GPT-3.5) | 40 messages (GPT-4); unlimited (GPT-3.5) | |
| ChatGPT Plus Monthly Cost(USD) | $20 | $20 | |
| Response Speed(seconds) | 3-6 seconds average | 3-6 seconds average | |
| Supported Languages(count) | 95+ languages | 95+ languages | |
| Plus/Premium Subscription Cost(USD per month) | $20 | $20 | |
| Monthly Subscription Cost(USD) | $20/month | $20/month | |
| Code Completion Latency(milliseconds) | 1,200-2,000ms (requires API call and context setup) | 1,200-2,000ms (requires API call and context setup) | |
| Supported Programming Languages(count) | 20+ languages | 20+ languages | |
| IDE Integration Support(platforms) | 0 (web and API only) | 0 (web and API only) | |
| Code Generation Accuracy (Python)(percent) | 67% correct on HumanEval benchmark | 67% correct on HumanEval benchmark | |
| Context Switching Overhead(seconds per interaction) | 15-30 seconds (copy code, switch tabs, paste results) | 15-30 seconds (copy code, switch tabs, paste results) | |
| Subscription Cost(USD/month) | $20 (ChatGPT Plus) | $20 (ChatGPT Plus) | |
| Document Summarization Time (10K words)(seconds) | 8-12 seconds | 8-12 seconds | |
| Weekly Active Users(millions) | 200+ million | 200+ million | |
| AIME Math Benchmark Accuracy(percent) | 92% | 92% | |
| HumanEval Code Generation Pass Rate(percent) | 90.2% | 90.2% | |
| MMLU Benchmark Score(percent) | 92% | 92% | |
| API Input Cost(USD per 1M tokens) | $15 (GPT-4 Turbo) | $15 (GPT-4 Turbo) | |
| Hallucination Rate on Factual Tasks(percent) | 8-12% | 8-12% | |
| Context Window (Maximum Tokens)(tokens) | 128,000 tokens | 128,000 tokens | |
| Coding Task Accuracy (HumanEval Benchmark)(%) | 86.5% | 86.5% | |
| Average Response Hallucination Rate(percent) | 8-12% | 8-12% | |
| Free Tier Daily Message Limit(messages/day) | 40-50 (approximate) | 40-50 (approximate) | |
| Context Window (Conversation Memory)(tokens) | 12,000 tokens (GPT-4 Turbo) | 12,000 tokens (GPT-4 Turbo) | |
| Creative Writing User Satisfaction(percent) | 92% | 92% | |
| Research/Fact-Checking Satisfaction(percent) | 76% | 76% | |
| Premium Tier Monthly Cost(USD) | $20 (Plus) | $20 (Plus) | |
| Custom AI Assistants Available(count) | 500,000+ | 500,000+ |
Sourced from publicly available data ·
Key Differences
7 attributes compared head-to-head
D
3DeepSeekEvenly matched1 tie
DeepSeek
Attribute
ChatGPT
- $0.14(winner)API Cost per 1M Tokens$15
- ~8 million (2024 estimate)Monthly Active Users200+ million (as of 2025)(winner)
- 250ms(winner)Response Latency (avg)800ms
- 73.3%Reasoning Benchmark (AIME 2024)96%(winner)
- April 2024Training Data CutoffDecember 2024(winner)
- 128,000 tokensMax Context Window128,000 tokens
- Yes (weights available)(winner)Open Source AvailabilityNo (closed source)
- API Cost per 1M Tokens
DeepSeek
$0.14(winner)
ChatGPT
$15
- Monthly Active Users
DeepSeek
~8 million (2024 estimate)
ChatGPT
200+ million (as of 2025)(winner)
- Response Latency (avg)
DeepSeek
250ms(winner)
ChatGPT
800ms
- Reasoning Benchmark (AIME 2024)
DeepSeek
73.3%
ChatGPT
96%(winner)
- Training Data Cutoff
DeepSeek
April 2024
ChatGPT
December 2024(winner)
- Max Context Window
DeepSeek
128,000 tokens
ChatGPT
128,000 tokens
- Open Source Availability
DeepSeek
Yes (weights available)(winner)
ChatGPT
No (closed source)
Full Comparison
| Attribute | DeepSeek | ChatGPT |
|---|---|---|
| API Cost (Input Tokens)($ per million tokens) | $0.014 (DeepSeek-Chat)(winner) | $0.05-3.00 (varies by model) |
| Minimum Monthly Cost (Consumer)($) | Free tier available(winner) | $5 (ChatGPT Go) |
| 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(winner) | $15 |
Show 25 more attributesAPI Cost per 1M Input Tokens(USD) $0.14 — Monthly Subscription Cost (Individual)(USD) $0.00 (Free tier available) — API Input Cost per 1M Tokens(USD) $0.14 — API Output Cost per 1M Tokens(USD) $0.28 — Free Tier Availability(null) Limited API access required Available (full GPT-3.5) Pro Tier Monthly Cost(USD) $20 — Plus Subscription Price(USD/month) $20 — Minimum Monthly Cost for Advanced Features(USD) $20 (Plus tier) — Subscription Cost (Annual)(USD) $240 (ChatGPT Plus) — Monthly Premium Cost(USD) $20 (Plus) / $200 (Pro) — Premium Monthly Cost(USD) $20/month — 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 — Free Tier Message Limit(messages/day) 40 messages (GPT-4); unlimited (GPT-3.5) — ChatGPT Plus Monthly Cost(USD) $20 — Monthly Cost(USD) $20 (ChatGPT Plus) — Monthly Subscription Cost(USD) $20/month — 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) — | ||
| Context Window(tokens) | 164K tokens(winner) | 128,000 tokens (~96,000 words) |
| Reasoning Benchmark Score(percentile) | Top-tier (R1/V3.2 optimized) | Strong (GPT-4o/5.4 capable) |
| Reasoning Task Performance (GPQA Benchmark)(percentage) | 92% (R1) | — |
| AIME 2024 Benchmark (Math Reasoning)(percent) | 96.3% | — |
| MMLU General Knowledge Benchmark(percent) | 92.3% | — |
Show 20 more attributesLiveCodeBench Score(percent) 88.7% — Math Reasoning Accuracy (AIME 2024)(percent correct) 79.8% — Code Generation Performance (HumanEval)(percent pass rate) 92.3% (DeepSeek-V3) — General Knowledge (MMLU Benchmark)(percent accuracy) 86.5% (DeepSeek-V3) — Math Reasoning Accuracy (AIME Benchmark)(%) 94% — Context Window Size(tokens) 128,000 128,000 AIME 2024 Reasoning Benchmark(%) 96% — Code Generation Benchmark (LMSYS)(%) 82% — HumanEval Coding Pass Rate(percent) 96.3% — AIME 2024 Reasoning Accuracy(percent) 71% — Execution Speed Faster — M365 Task Accuracy Rate(%) 82% — Code Generation Benchmark Score(%) 92.3 — Response Speed(seconds) 3-6 seconds average — Code Completion Latency(milliseconds) 1,200-2,000ms (requires API call and context setup) — 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% — | ||
| Multimodal Support | Text, emerging vision | Text, image, voice, video |
| Vision Capability(supported formats) | Limited (text-focused) | Advanced (GPT-4V with OCR, charts, diagrams) |
| Real-Time Web Search | No (cutoff April 2024) | Yes |
| Average Citations per Response(count) | 2-5 | — |
| Web Search | Yes | — |
Show 14 more attributesReal-Time Information Access Knowledge cutoff with occasional browsing — 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) — Multimodal Capability Score(capability level) Advanced (image, video, text, document analysis) — Image Generation Yes (DALL-E 3) — Native Document Integration No - requires manual import — Real-time Web Search (Free Tier) No (Plus only) — Supported Programming Languages(count) 20+ languages — Voice/Audio Capabilities Yes (voice input/output) — Real-Time Web Access Yes (GPT-4 Turbo with browsing) — Real-Time Web Search (Free) No (requires Plus) — Image Generation Capability DALL-E 3 (free + paid) — | ||
| On-Premise Deployment(availability) | Yes, fully supported | Limited (enterprise only) |
| Third-Party Integrations(count) | Growing (API-focused) | Extensive (10,000+ GPTs & plugins) |
| Third-Party Integration Ecosystem | Hundreds of plugins and integrations | — |
| User Interface Rating(stars out of 5) | Technical, developer-centric | Consumer-friendly, polished |
| Supported Languages(count) | 95+ languages | — |
| AIME Math Benchmark Score(%) | 94% | — |
| Microsoft 365 Integration | Limited (API-only) | — |
| Microsoft 365 Native Integration | None (API only) | — |
| Native Microsoft 365 Integration(integration level) | Manual copy-paste only | — |
| Windows OS Integration | Separate application | — |
| Google Workspace Integration | 3 | — |
Show 2 more attributesWorkspace Integration Type(null) External (API + plugins) — Native Windows System Integration No — | ||
| Model Availability | Open-source weights available | — |
| Platform Availability | Web, iOS, Android, API | — |
| Enterprise Data Compliance | Subject to Chinese data laws | — |
| Data Privacy (External Processing) | Higher risk - processed by DeepSeek servers | — |
| Data Privacy Model | Processes public web data only | — |
| Context Window Size (V3/O1)(tokens) | 4,096 tokens (DeepSeek-V3) | — |
| 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 | — |
| API Input Token Cost(USD per 1M tokens) | $0.14 | — |
| Largest Model Parameter Count(billion 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 | — |
| Minimum GPU VRAM for Full Model Inference(GB) | 40GB (with MoE efficiency) | — |
| Local Deployment Support | Not supported (API only) | — |
| Open Source Model Weights(availability) | Yes | No |
| Company Location | China | — |
| Source Code Availability | Closed-source, API-only | — |
| Documentation Completeness Score(/10) | 4/10 | — |
| Source Citations Provided(yes/no) | No | — |
| 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 | — |
| Community Size & Ecosystem(relative rank) | Emerging (rank #8 in AI models) | — |
| Monthly Active Users(millions) | 200+ | — |
| AIME 2024 Math Reasoning Accuracy(%) | 94% | 96%(winner) |
| HumanEval Code Pass Rate(%) | 96.3% | — |
| MMLU Benchmark (General Knowledge)(%) | 92.3% | — |
| Average Response Latency(seconds) | 250ms(winner) | 800ms |
| Monthly Active Users(millions) | ~8 million | 200 million(winner) |
| Training Data Recency(months_old) | 8 months old (April 2024) | Current (December 2024)(winner) |
| Windows OS Market Share(%) | 0% (external integration required) | — |
| Self-hosting/Local Deployment | Fully Supported | — |
| US Market Accessibility | Restricted/Limited | — |
| Commercial Deployment Restrictions | U.S. export restrictions (China-based) | — |
| Technical Transparency | Limited disclosure, proprietary | — |
| Free Tier Quality | GPT-3.5 (basic) | — |
| Free Tier Model Quality(equivalent tier) | GPT-4o mini (capable) | — |
| Coding Blind Test Winner | Not favored | — |
| Long Document Handling | Moderate | — |
| Context Window (Paid Tier)(tokens) | 128,000 | — |
| Reasoning Task Performance | Very Strong (GPT-4o) | — |
| 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 | — |
Show 3 more attributesContext Window (Tokens)(tokens) 128,000 — Multimodal Format Support(formats) 3 (text, image, voice) — Reasoning Capability Rating(score (1-10)) 8.5 — | ||
| Market Adoption 2026 | Broader ecosystem | — |
| Primary Use Case | Conversational assistance & content generation | — |
| Reasoning Model Capability | o1/o3 advanced reasoning series | — |
| Research Organization Features | Projects feature | — |
| Third-Party Integrations Available(integrations) | 10,000+ | — |
| Source Citation System | Available but not primary focus | — |
| Model Customization Options | Custom GPTs with established ecosystem | — |
| Custom Instructions Support | Advanced custom instructions system | — |
| Parallel Model Processing | Single model per session | — |
| Memory & Context Window(tokens) | GPT-5.2 advanced context | — |
| 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 | — |
| Third-party App Integrations(apps) | Thousands via Zapier and API | — |
| Third-Party App Connections(apps) | Thousands via Zapier | — |
| Enterprise SLA & Compliance | Yes (ChatGPT Enterprise custom terms) | — |
| Enterprise Admin Controls | Basic (via API keys) | — |
| Monthly Website Visits(millions) | 1,500+ | — |
| Launch Date | November 2022 | — |
| 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) | — |
| Base Model Version | GPT-5.2 | — |
| 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+ | — |
| Mobile app quality | Polished, top-rated | — |
| 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) | — |
Show 1 more attributeWindows 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 | — |
| Native Office Document Integration | No—manual upload required | — |
| API Availability | Full API with fine-tuning | — |
| Free Tier Search Queries(queries per day) | Limited messages (no dedicated search) | — |
| Plus/Premium Subscription Cost(USD per month) | $20 | — |
| Source Citations(automatic inline) | Available (not default) | — |
| Knowledge Cutoff Date(month/year) | April 2024 | — |
| IDE Integration Support(platforms) | 0 (web and API only) | — |
| Code Generation Accuracy (Python)(percent) | 67% correct on HumanEval benchmark | — |
| Hallucination Rate on Factual Tasks(percent) | 8-12% | — |
| Average Response Hallucination Rate(percent) | 8-12% | — |
| Context Switching Overhead(seconds per interaction) | 15-30 seconds (copy code, switch tabs, paste results) | — |
| Image Analysis Capability(null) | Available (vision-enabled) | — |
| Weekly Active Users(millions) | 200+ million | — |
| Knowledge Currency | April 2024 cutoff | — |
| Content Filtering Strictness | Strict safety guidelines | — |
| Free Tier Daily Message Limit(messages/day) | 40-50 (approximate) | — |
| Creative Writing User Satisfaction(percent) | 92% | — |
| Research/Fact-Checking Satisfaction(percent) | 76% | — |
DDeepSeek
ChatGPTAPI Cost (Input Tokens)($ per million tokens)
$0.014 (DeepSeek-Chat)
$0.05-3.00 (varies by model)
Minimum Monthly Cost (Consumer)($)
Free tier available
$5 (ChatGPT Go)
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
$15
Show 25 more attributes
API Cost per 1M Input Tokens(USD)
$0.14
—
Monthly Subscription Cost (Individual)(USD)
$0.00 (Free tier available)
—
API Input Cost per 1M Tokens(USD)
$0.14
—
API Output Cost per 1M Tokens(USD)
$0.28
—
Free Tier Availability(null)
Limited API access required
Available (full GPT-3.5)
Pro Tier Monthly Cost(USD)
$20
—
Plus Subscription Price(USD/month)
$20
—
Minimum Monthly Cost for Advanced Features(USD)
$20 (Plus tier)
—
Subscription Cost (Annual)(USD)
$240 (ChatGPT Plus)
—
Monthly Premium Cost(USD)
$20 (Plus) / $200 (Pro)
—
Premium Monthly Cost(USD)
$20/month
—
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
—
Free Tier Message Limit(messages/day)
40 messages (GPT-4); unlimited (GPT-3.5)
—
ChatGPT Plus Monthly Cost(USD)
$20
—
Monthly Cost(USD)
$20 (ChatGPT Plus)
—
Monthly Subscription Cost(USD)
$20/month
—
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)
—
Context Window(tokens)
164K tokens
128,000 tokens (~96,000 words)
Reasoning Benchmark Score(percentile)
Top-tier (R1/V3.2 optimized)
Strong (GPT-4o/5.4 capable)
Reasoning Task Performance (GPQA Benchmark)(percentage)
92% (R1)
—
AIME 2024 Benchmark (Math Reasoning)(percent)
96.3%
—
MMLU General Knowledge Benchmark(percent)
92.3%
—
Show 20 more attributes
LiveCodeBench Score(percent)
88.7%
—
Math Reasoning Accuracy (AIME 2024)(percent correct)
79.8%
—
Code Generation Performance (HumanEval)(percent pass rate)
92.3% (DeepSeek-V3)
—
General Knowledge (MMLU Benchmark)(percent accuracy)
86.5% (DeepSeek-V3)
—
Math Reasoning Accuracy (AIME Benchmark)(%)
94%
—
Context Window Size(tokens)
128,000
128,000
AIME 2024 Reasoning Benchmark(%)
96%
—
Code Generation Benchmark (LMSYS)(%)
82%
—
HumanEval Coding Pass Rate(percent)
96.3%
—
AIME 2024 Reasoning Accuracy(percent)
71%
—
Execution Speed
Faster
—
M365 Task Accuracy Rate(%)
82%
—
Code Generation Benchmark Score(%)
92.3
—
Response Speed(seconds)
3-6 seconds average
—
Code Completion Latency(milliseconds)
1,200-2,000ms (requires API call and context setup)
—
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%
—
Multimodal Support
Text, emerging vision
Text, image, voice, video
Vision Capability(supported formats)
Limited (text-focused)
Advanced (GPT-4V with OCR, charts, diagrams)
Real-Time Web Search
No (cutoff April 2024)
Yes
Average Citations per Response(count)
2-5
—
Web Search
Yes
—
Show 14 more attributes
Real-Time Information Access
Knowledge cutoff with occasional browsing
—
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)
—
Multimodal Capability Score(capability level)
Advanced (image, video, text, document analysis)
—
Image Generation
Yes (DALL-E 3)
—
Native Document Integration
No - requires manual import
—
Real-time Web Search (Free Tier)
No (Plus only)
—
Supported Programming Languages(count)
20+ languages
—
Voice/Audio Capabilities
Yes (voice input/output)
—
Real-Time Web Access
Yes (GPT-4 Turbo with browsing)
—
Real-Time Web Search (Free)
No (requires Plus)
—
Image Generation Capability
DALL-E 3 (free + paid)
—
On-Premise Deployment(availability)
Yes, fully supported
Limited (enterprise only)
Third-Party Integrations(count)
Growing (API-focused)
Extensive (10,000+ GPTs & plugins)
Third-Party Integration Ecosystem
Hundreds of plugins and integrations
—
User Interface Rating(stars out of 5)
Technical, developer-centric
Consumer-friendly, polished
Supported Languages(count)
95+ languages
—
AIME Math Benchmark Score(%)
94%
—
Microsoft 365 Integration
Limited (API-only)
—
Microsoft 365 Native Integration
None (API only)
—
Native Microsoft 365 Integration(integration level)
Manual copy-paste only
—
Windows OS Integration
Separate application
—
Google Workspace Integration
3
—
Show 2 more attributes
Workspace Integration Type(null)
External (API + plugins)
—
Native Windows System Integration
No
—
Model Availability
Open-source weights available
—
Platform Availability
Web, iOS, Android, API
—
Enterprise Data Compliance
Subject to Chinese data laws
—
Data Privacy (External Processing)
Higher risk - processed by DeepSeek servers
—
Data Privacy Model
Processes public web data only
—
Context Window Size (V3/O1)(tokens)
4,096 tokens (DeepSeek-V3)
—
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
—
API Input Token Cost(USD per 1M tokens)
$0.14
—
Largest Model Parameter Count(billion 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
—
Minimum GPU VRAM for Full Model Inference(GB)
40GB (with MoE efficiency)
—
Local Deployment Support
Not supported (API only)
—
Open Source Model Weights(availability)
Yes
No
Company Location
China
—
Source Code Availability
Closed-source, API-only
—
Documentation Completeness Score(/10)
4/10
—
Source Citations Provided(yes/no)
No
—
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
—
Community Size & Ecosystem(relative rank)
Emerging (rank #8 in AI models)
—
Monthly Active Users(millions)
200+
—
AIME 2024 Math Reasoning Accuracy(%)
94%
96%
HumanEval Code Pass Rate(%)
96.3%
—
MMLU Benchmark (General Knowledge)(%)
92.3%
—
Average Response Latency(seconds)
250ms
800ms
Monthly Active Users(millions)
~8 million
200 million
Training Data Recency(months_old)
8 months old (April 2024)
Current (December 2024)
Windows OS Market Share(%)
0% (external integration required)
—
Self-hosting/Local Deployment
Fully Supported
—
US Market Accessibility
Restricted/Limited
—
Commercial Deployment Restrictions
U.S. export restrictions (China-based)
—
Technical Transparency
Limited disclosure, proprietary
—
Free Tier Quality
GPT-3.5 (basic)
—
Free Tier Model Quality(equivalent tier)
GPT-4o mini (capable)
—
Coding Blind Test Winner
Not favored
—
Long Document Handling
Moderate
—
Context Window (Paid Tier)(tokens)
128,000
—
Reasoning Task Performance
Very Strong (GPT-4o)
—
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
—
Show 3 more attributes
Context Window (Tokens)(tokens)
128,000
—
Multimodal Format Support(formats)
3 (text, image, voice)
—
Reasoning Capability Rating(score (1-10))
8.5
—
Market Adoption 2026
Broader ecosystem
—
Primary Use Case
Conversational assistance & content generation
—
Reasoning Model Capability
o1/o3 advanced reasoning series
—
Research Organization Features
Projects feature
—
Third-Party Integrations Available(integrations)
10,000+
—
Source Citation System
Available but not primary focus
—
Model Customization Options
Custom GPTs with established ecosystem
—
Custom Instructions Support
Advanced custom instructions system
—
Parallel Model Processing
Single model per session
—
Memory & Context Window(tokens)
GPT-5.2 advanced context
—
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
—
Third-party App Integrations(apps)
Thousands via Zapier and API
—
Third-Party App Connections(apps)
Thousands via Zapier
—
Enterprise SLA & Compliance
Yes (ChatGPT Enterprise custom terms)
—
Enterprise Admin Controls
Basic (via API keys)
—
Monthly Website Visits(millions)
1,500+
—
Launch Date
November 2022
—
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)
—
Base Model Version
GPT-5.2
—
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+
—
Mobile app quality
Polished, top-rated
—
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)
—
Show 1 more attribute
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
—
Native Office Document Integration
No—manual upload required
—
API Availability
Full API with fine-tuning
—
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
—
IDE Integration Support(platforms)
0 (web and API only)
—
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%
—
Context Switching Overhead(seconds per interaction)
15-30 seconds (copy code, switch tabs, paste results)
—
Image Analysis Capability(null)
Available (vision-enabled)
—
Weekly Active Users(millions)
200+ million
—
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%
—
Pros & Cons
10 pros·6 cons across both
D
D
DeepSeek
+5-3
Pros
- API costs 90% lower than ChatGPT ($0.14 vs $15 per 1M tokens)
- Open-source model weights available for local deployment
- 250ms average response latency (3.2x faster than ChatGPT)
- 128K context window supports long documents
- Real-time reasoning traces available in API responses
Cons
- 73.3% AIME 2024 accuracy vs ChatGPT's 96%, limiting complex problem-solving
- Smaller user base (~8M) means fewer third-party integrations and community tools
- Training data cutoff April 2024 vs ChatGPT's December 2024 (8-month lag)
ChatGPT
+5-3
Pros
- 96% accuracy on AIME 2024 math reasoning benchmarks, best-in-class performance
- 200+ million monthly active users enabling network effects and ecosystem depth
- December 2024 training data cutoff (8 months fresher than DeepSeek)
- Seamless integrations with Microsoft ecosystem (Office, Copilot, Teams)
- Advanced vision capabilities with GPT-4V for image/document analysis
Cons
- API costs $15 per 1M tokens (100x more expensive than DeepSeek)
- 800ms average response latency creates noticeable delays in interactive applications
- Proprietary closed-source model limits customization and local deployment options
Frequently Asked Questions
5 questions
DeepSeek's pricing reflects its Chinese operational costs, different business model focused on market penetration rather than maximum revenue, and newer efficiency optimizations. ChatGPT's higher costs support OpenAI's $80B+ annual infrastructure spending, 1,000+ employee team, and R&D for frontier models. DeepSeek's $0.14 per 1M tokens vs ChatGPT's $15 represents a deliberate pricing strategy rather than lower quality infrastructure.
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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