technology
Claude vs Gemini 2026: Developer Comparison
Claude 4.6 excels in coding, reasoning, and nuanced content generation with 18.9M monthly active users, while Gemini dominates with 750M+ users through Google's ecosystem integration. Claude leads developer preference (46% 'most loved'), while Gemini offers superior multimodal capabilities and seamless search integration.
C
Claude
Anthropic's AI assistant focused on reasoning, safety, and nuanced analysis with industry-leading context window.
Developers, technical teams, writers, AI researchers, and enterprises prioritizing coding and reasoning
Score55%
VS
G
Gemini
Google's advanced multimodal AI with superior reasoning, coding, and integration into Google's product suite.
Mainstream users, educators, content creators, businesses leveraging Google tools, and multimodal AI applications
Score55%
Quick Answer
AI SummaryClaude 4.6 excels in coding, reasoning, and nuanced content generation with 18.9M monthly active users, while Gemini dominates with 750M+ users through Google's ecosystem integration. Claude leads developer preference (46% 'most loved'), while Gemini offers superior multimodal capabilities and seamless search integration.
Our Verdict
AI-assistedClaude 4.6 is the preferred choice for developers, technical writers, and teams prioritizing coding excellence and nuanced reasoning, while Gemini dominates consumer and enterprise markets through Google's massive user base and ecosystem integration. The choice depends on your use case: select Claude for specialized AI development and writing, or Gemini for mainstream productivity and search-integrated workflows.
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C
Claude
6.8/10
Gemini
8.2/10
G
C
Choose Claude if
Developers, technical teams, writers, AI researchers, and enterprises prioritizing coding and reasoning
G
Choose Gemini if
Best pickMainstream users, educators, content creators, businesses leveraging Google tools, and multimodal AI applications
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Key Differences at a Glance
- Monthly Active Users:✓ Gemini wins(750+ Million vs 18.9 Million)
- Developer Preference:✓ Claude wins(46% 'Most Loved' (Pragmatic Engineer Survey) vs Secondary choice for coding)
- Coding Tool Market Share:✓ Claude wins(Most-used AI coding tool (Feb 2026) vs Integrated into Google ecosystem)
Key Facts & Figures
83 numeric metrics compared
| Metric | Claude | Gemini | Ratio |
|---|---|---|---|
| SWE-bench Verified Score(%) | 80.9% | — | — |
| Context Window (Paid Tier)(tokens) | 200,000 | — | — |
| Monthly Active Users(millions) | Claude | Gemini | |
| Developer Preference Rating(%) | Claude | Gemini | |
| Company Valuation(billions USD) | Claude | Gemini (Google) | |
| Context Window (Tokens)(tokens) | 200,000 | 1,000,000 | |
| Input Cost per Million Tokens(USD) | $8.00 | $7.50 | |
| Output Cost per Million Tokens(USD) | $24.00 | $30.00 | |
| Average Response Latency(milliseconds) | 380 | 320 | |
| Multimodal Format Support(formats) | 3 (text, image, PDF) | 5 (text, image, audio, video, docs) | |
| Third-Party Integrations Available(integrations) | 2,000+ | 1,500+ | |
| Reasoning Capability Rating(score (1-10)) | 9.5 | 8.0 | |
| Coding Benchmark (Specialist)(%) | 92% accuracy | — | — |
| MMLU Reasoning Score(%) | 88.3% | — | — |
| Pro Subscription Cost(USD/month) | $20/month | — | — |
| Context Window (Token Limit)(tokens) | 200,000 tokens | — | — |
| Complex Reasoning Accuracy (AIME 2024)(percent) | 85% | — | — |
| Code Generation Accuracy (HumanEval)(%) | 92% | — | — |
| Subscription Cost (Primary Plan)(USD per month) | $20/month (Claude Pro) | — | — |
| Code Generation Benchmark Score(%) | 92% (HumanEval) | 89.7 | |
| Monthly Cost (Individual User)(USD) | $20 (Claude Pro) | — | — |
| Maximum Response Time(seconds) | 2-6 seconds average | — | — |
| Document Summarization Effectiveness(%) | 89% user satisfaction | — | — |
| Monthly Subscription Cost(USD) | $20/month | — | — |
| Integrated App Support(number of apps) | Web interface + API only | — | — |
| Monthly Cost (Subscription)(USD) | $20 | — | — |
| Code Completion Latency(milliseconds) | 500-2000ms (chat response) | — | — |
| Number of Supported AI Models(models) | Claude 3.5 Sonnet, Claude 3 Opus, Claude 3 Haiku | — | — |
| Estimated Daily Active Users(millions) | ~10 million (reported by Anthropic, 2024) | — | — |
| Max File Size for Analysis(megabytes) | ~10MB per upload (practical limit) | — | — |
| Years Since Launch(years) | 2 years (launched March 2024) | — | — |
| Context Window(tokens) | 200,000 tokens | 1M tokens (3.1 Pro) | — |
| Code Generation Benchmark (HumanEval)(score out of 100) | 94/100 | — | — |
| Complex Reasoning Benchmark(score out of 100) | 88/100 | — | — |
| Context Window Size(tokens) | 200,000 tokens | 1,000,000 | |
| MMLU Benchmark Score(percent) | 94.4% | — | — |
| API Input Cost(USD per 1M tokens) | $3 (Opus) / $0.80 (Haiku) | — | — |
| Hallucination Rate on Factual Tasks(percent) | 3-5% | — | — |
| Context Window (Maximum Tokens)(tokens) | 200,000 tokens | — | — |
| Coding Task Accuracy (HumanEval Benchmark)(%) | 92.0% | — | — |
| Standalone Pricing (Monthly)(USD) | $20 (Claude Pro) | — | — |
| Code Generation Success Rate(percent) | 88% on HumanEval | — | — |
| Platform Integration Points(platforms) | 8+ (Web, Desktop, API, Slack, etc.) | — | — |
| Response Time for Complex Tasks(seconds) | 3-6 seconds average | — | — |
| Document Summarization Quality(satisfaction score) | 8.7/10 standalone | — | — |
| Monthly Subscription (Pro/Standard)(USD) | $20 | — | — |
| Monthly Subscription Cost (Premium/Pro Tier)(USD) | $20.00/month | — | — |
| Annual Subscription Cost (Premium/Pro Tier)(USD) | $240.00/year | — | — |
| Context Window (Max Input Length)(tokens) | 200,000 tokens | — | — |
| Platform Integrations(count) | API only (requires custom setup) | — | — |
| Grammar Detection Accuracy(percent) | 94% | — | — |
| Maximum File Upload Size(GB) | 0.02 GB (20MB per file) | — | — |
| Monthly Subscription Price(USD) | $20 | — | — |
| User Reported Reasoning Quality (Scale 1-10)(score) | 9.1/10 | — | — |
| Code Generation Accuracy(% on HumanEval) | 92% | — | — |
| Premium Subscription Cost(USD/month) | $20/month (Pro) | — | — |
| Monthly Active Users(millions) | Gemini | Gemini | |
| Daily Active Users(millions) | Gemini | Gemini | |
| Year-over-Year User Growth(percent) | Gemini | Gemini | |
| Monthly Active Users(millions) | 1.5 billion+ (all Google products) | 1.5 billion+ (all Google products) | |
| Starting Price (Monthly)(USD) | Free (Gemini Free or Premium $20) | Free (Gemini Free or Premium $20) | |
| Context Window Size(tokens) | 1 million tokens (Gemini 2.0) | 1 million tokens (Gemini 2.0) | |
| Supported Programming Languages(languages) | 40+ languages with debugging | 40+ languages with debugging | |
| Uptime SLA (Enterprise)(percent) | 99.5% (Google Cloud SLA) | 99.5% (Google Cloud SLA) | |
| Complex Reasoning Accuracy (AIME Benchmark)(percentage) | ~62% | ~62% | |
| Monthly Subscription Cost (Premium)(USD) | $20/month (Google One Premium) | $20/month (Google One Premium) | |
| Code Generation Quality (HumanEval Benchmark)(percentage) | ~92% | ~92% | |
| Maker Trading Fee(%) | 0.50% | 0.50% | |
| Taker Trading Fee(%) | 0.60% | 0.60% | |
| Supported Cryptocurrencies(assets) | 95+ | 95+ | |
| Staking Assets Available(count) | 8 | 8 | |
| Maximum Staking APY(%) | Up to 5% | Up to 5% | |
| Minimum Subscription Cost (Annual)(USD) | $0 (Free tier available) | $0 (Free tier available) | |
| Supported Input Formats(count) | Text, images, audio, video | Text, images, audio, video | |
| Maker Trading Fee(%) | 0.25% | 0.25% | |
| Taker Trading Fee(%) | 0.35% | 0.35% | |
| Available Trading Pairs(pairs) | 120+ | 120+ | |
| US State Money Transmitter Licenses(states) | 50 states (all) | 50 states (all) | |
| Mobile App Rating (iOS)(stars out of 5) | 4.6/5 | 4.6/5 | |
| Year Founded | 2014 | 2014 | |
| Coding Performance (HumanEval Benchmark)(%) | 92.3% | 92.3% | |
| Mathematical Reasoning (MATH-500)(%) | 90% | 90% | |
| Premium Subscription Cost (Monthly)(USD) | $20 (Gemini Advanced) | $20 (Gemini Advanced) |
Sourced from publicly available data ·
Key Differences
8 attributes compared head-to-head
C
4ClaudeEvenly matched
G
4GeminiClaude
Attribute
Gemini
- 18.9 MillionMonthly Active Users750+ Million(winner)
- 46% 'Most Loved' (Pragmatic Engineer Survey)(winner)Developer PreferenceSecondary choice for coding
- Most-used AI coding tool (Feb 2026)(winner)Coding Tool Market ShareIntegrated into Google ecosystem
- Standalone platform focusEcosystem IntegrationNative Google Search & Workspace integration(winner)
- Text-focused with code expertiseMultimodal CapabilitiesAdvanced image, video, and text processing(winner)
- Superior complex reasoning (Claude 4.6)(winner)Reasoning & LogicStrong but secondary to Claude
- Nuanced, contextual output(winner)Content Writing QualityGood but less refined prose
- $14B revenue, $380B valuationEnterprise AdoptionBacked by Google's $2T+ market cap(winner)
- Monthly Active Users
Claude
18.9 Million
Gemini
750+ Million(winner)
- Developer Preference
Claude
46% 'Most Loved' (Pragmatic Engineer Survey)(winner)
Gemini
Secondary choice for coding
- Coding Tool Market Share
Claude
Most-used AI coding tool (Feb 2026)(winner)
Gemini
Integrated into Google ecosystem
- Ecosystem Integration
Claude
Standalone platform focus
Gemini
Native Google Search & Workspace integration(winner)
- Multimodal Capabilities
Claude
Text-focused with code expertise
Gemini
Advanced image, video, and text processing(winner)
- Reasoning & Logic
Claude
Superior complex reasoning (Claude 4.6)(winner)
Gemini
Strong but secondary to Claude
- Content Writing Quality
Claude
Nuanced, contextual output(winner)
Gemini
Good but less refined prose
- Enterprise Adoption
Claude
$14B revenue, $380B valuation
Gemini
Backed by Google's $2T+ market cap(winner)
Full Comparison
| Attribute | Claude | Gemini |
|---|---|---|
| Web Search | Yes (Feb 2026) | — |
| Multimodal Capabilities | Text and code focused | Advanced (image, video, text) |
| Image Generation | No | Yes — Imagen 4 |
| Real-Time Web Search | Not available | Free |
| Real-Time Information Access | No | No (April 2024 cutoff) |
Show 8 more attributesVoice/Audio Capabilities No — Real-Time Web Access No (April 2024 cutoff) — Platform Integrations(count) API only (requires custom setup) — Image Generation Capability Limited (image analysis only) — Web Browsing Capability No — Supported Assets Text, Images, Video, Code — Multimodal Input Support Text, images, video, audio — Supported Cryptocurrencies(assets) 95+ — | ||
| Coding Blind Test Winner | Won coding tests | — |
| Long Document Handling | Superior | — |
| Context Window (Paid Tier)(tokens) | 200,000 | — |
| Context Window (Tokens)(tokens) | 200,000 | 1,000,000(winner) |
| Multimodal Format Support(formats) | 3 (text, image, PDF) | 5 (text, image, audio, video, docs)(winner) |
| Reasoning Capability Rating(score (1-10)) | 9.5(winner) | 8.0 |
Show 3 more attributesInput Types Supported Code, text, images, PDFs, documents — Real-Time Information April 2024 knowledge cutoff — Supported Input Formats(count) Text, images, audio, video — | ||
| Execution Speed | Slower (more thorough) | — |
| Coding Benchmark (Specialist)(%) | 92% accuracy | — |
| MMLU Reasoning Score(%) | 88.3% | — |
| Code Generation Accuracy (HumanEval)(%) | 92% | — |
| Code Generation Benchmark Score(%) | 92% (HumanEval)(winner) | 89.7 |
Show 16 more attributesMaximum Response Time(seconds) 2-6 seconds average — Code Completion Latency(milliseconds) 500-2000ms (chat response) — Code Generation Benchmark (HumanEval)(score out of 100) 94/100 — Complex Reasoning Benchmark(score out of 100) 88/100 — MMLU Benchmark Score(percent) 94.4% — Coding Task Accuracy (HumanEval Benchmark)(%) 92.0% — Code Generation Success Rate(percent) 88% on HumanEval — Response Time for Complex Tasks(seconds) 3-6 seconds average — Code Completion Speed(seconds) N/A (manual conversation only) — User Reported Reasoning Quality (Scale 1-10)(score) 9.1/10 — Code Generation Accuracy(% on HumanEval) 92% — Context Window Size(tokens) 1 million tokens (Gemini 2.0) — Complex Reasoning Accuracy (AIME Benchmark)(percentage) ~62% — Code Generation Quality (HumanEval Benchmark)(percentage) ~92% — Coding Performance (HumanEval Benchmark)(%) 92.3% — Mathematical Reasoning (MATH-500)(%) 90% — | ||
| Market Adoption 2026 | Growing adoption | — |
| SWE-bench Verified Score(%) | 80.9% | — |
| Monthly Active Users(millions) | Claude | Gemini(winner) |
| Monthly Active Users(millions) | ~15 million (est. 2026) | 100(winner) |
| Developer Preference Rating(%) | Claude(winner) | Gemini |
| Coding Task Excellence(benchmark) | Excellent (leading tool) | Good |
| Reasoning Quality(benchmark) | Superior (Claude 4.6) | Strong |
| Ecosystem Integration | Standalone platform | Google Search, Workspace, Maps |
| Google Workspace Integration | 2 | 10(winner) |
| Windows OS Integration | Web browser only, no native integration | — |
| Microsoft 365 Integration | No integration, manual file uploads required | — |
| Integrated App Support(number of apps) | Web interface + API only | — |
Show 6 more attributesMicrosoft 365 Integration Level Limited (API/plugins) — Windows Native Integration Third-party only — Real-time Browser Integration(boolean) No (manual input required) — Office 365 Integration Web-based only — Developer API Availability Full access via Vertex AI and AI Studio — Workplace Integration Google Workspace, Drive, Gmail, Search — | ||
| Company Valuation(billions USD) | Claude | Gemini (Google)(winner) |
| Content Writing Refinement | Nuanced and contextual | Good but formulaic |
| Input Cost per Million Tokens(USD) | $8.00 | $7.50(winner) |
| Output Cost per Million Tokens(USD) | $24.00(winner) | $30.00 |
| Free tier | Sonnet 4.6 (rate-limited) | 3.5 Flash (generous limits) |
| Paid entry plan | Claude Pro $20/mo | Google AI Pro $19.99/mo |
| Power-user tier | Max $100–$200/mo | Ultra $100–$200/mo |
Show 22 more attributesTeam plan $30/user/mo Workspace Business (varies) API input (per 1M tokens) Sonnet 4.6: $3.00 3.5 Flash: ~$0.10 Pro Subscription Cost(USD/month) $20/month — Free Tier Availability Yes (Claude.ai with limitations) Yes (with limitations) Subscription Cost (Primary Plan)(USD per month) $20/month (Claude Pro) — Monthly Cost (Individual User)(USD) $20 (Claude Pro) — Monthly Subscription Cost(USD) $20/month — Free Tier Capability Full Claude 3.5 Sonnet with usage limits — Monthly Cost (Subscription)(USD) $20 — API Input Cost(USD per 1M tokens) $3 (Opus) / $0.80 (Haiku) — Monthly Subscription (Pro/Standard)(USD) $20 — Monthly Subscription Cost (Premium/Pro Tier)(USD) $20.00/month — Annual Subscription Cost (Premium/Pro Tier)(USD) $240.00/year — Monthly Subscription Price(USD) $20 — Premium Subscription Cost(USD/month) $20/month (Pro) — Cost to Users Free (premium paid options) — Starting Price (Monthly)(USD) Free (Gemini Free or Premium $20) — Monthly Subscription Cost (Premium)(USD) $20/month (Google One Premium) — Minimum Subscription Cost (Annual)(USD) $0 (Free tier available) — Maker Trading Fee(%) 0.25% — Taker Trading Fee(%) 0.35% — Premium Subscription Cost (Monthly)(USD) $20 (Gemini Advanced) — | ||
| Average Response Latency(milliseconds) | 380 | 320(winner) |
| Third-Party Integrations Available(integrations) | 2,000+(winner) | 1,500+ |
| Standalone Usage Capability(boolean) | Yes (fully independent) | — |
| Document Processing Types | PDF, Images, Web content, Video | — |
| Headline model | Sonnet 4.6, Opus 4.8 | Gemini 3.1 Pro, 3.5 Flash |
| Coding (SWE-bench Verified) | #1 (Opus 4.8 + Claude Code) | Competitive (3.1 Pro) |
| Web grounding / citations | Via integrations / Computer Use | Native Search grounding |
| Multilingual quality | Strong (esp. European + Japanese) | Broadest (Google translation lineage) |
| Structured output / JSON mode | Strict tool use + JSON schemas | Controlled generation + JSON schemas |
Show 1 more attributeTraining data cut-off ~2025 ~2025 (Search compensates) | ||
| Image input | Yes | Yes |
| Voice mode | Limited (API-based) | Yes (rolling out) |
| Agentic capability | Claude Code + Computer Use | Agentic in Workspace |
| Plugin Ecosystem(available plugins) | MCP-based (growing) | Google integrations |
| Mobile app quality | iOS/Android, catching up | Polished; merges with Google app on Android |
| Prompt caching (API) | Explicit cache markers (5m / 1h) | Implicit + explicit context caching |
| Fine-tuning (API) | No public fine-tuning | Gemini 3.5 Flash |
| On-prem / self-host | Cloud-only (Bedrock / Vertex) | Cloud-only (Vertex AI) |
| API rate limits (Tier 1) | ~50 RPM / 40K ITPM (Sonnet 4.6) | ~360 RPM / 4M TPM (3.1 Pro) |
| Context Window (Token Limit)(tokens) | 200,000 tokens | — |
| Complex Reasoning Accuracy (AIME 2024)(percent) | 85% | — |
| Knowledge Cutoff Date(month/year) | April 2024 | — |
| Content Moderation Strictness(level) | Strict safety guidelines | Strict - refuses harmful/controversial |
| Content Moderation Level | Standard | — |
| Training Data Recency(months_old) | Static as of April 2024 | 20 months (April 2024) |
| Available Platforms(count) | 5+ (Web, iOS, Android, API, third-party apps) | — |
| Document Summarization Effectiveness(%) | 89% user satisfaction | — |
| Real-Time Integration | No—requires manual submission | — |
| Mobile App Rating (iOS)(stars out of 5) | 4.6/5 | — |
| Content Generation Capability(max words per output) | Up to 150,000 words | — |
| Number of Supported AI Models(models) | Claude 3.5 Sonnet, Claude 3 Opus, Claude 3 Haiku | — |
| Max File Size for Analysis(megabytes) | ~10MB per upload (practical limit) | — |
| Context Window Size(tokens) | 200,000 tokens | 1,000,000(winner) |
| Context Window (Maximum Tokens)(tokens) | 200,000 tokens | — |
Show 2 more attributesDocument Summarization Quality(satisfaction score) 8.7/10 standalone — Context Window (Max Input Length)(tokens) 200,000 tokens — | ||
| Platform Availability(platforms) | Web, iOS, Android, API | — |
| Available on Mobile | iOS app available | — |
| Mobile App Availability | iOS, Android (native Gemini app) | — |
| Estimated Daily Active Users(millions) | ~10 million (reported by Anthropic, 2024) | — |
| Monthly Active Users(millions) | 1.5 billion+ (all Google products) | — |
| Years Since Launch(years) | 2 years (launched March 2024) | — |
| Context Window(tokens) | 200,000 tokens | 1M tokens (3.1 Pro) |
| Hallucination Rate on Factual Tasks(percent) | 3-5% | — |
| Hallucination Rate(% on factual queries) | 4-6% | — |
| Free Tier Model Quality(equivalent tier) | Claude 3.5 Haiku (capable) | — |
| Free Tier Quality | Gemini 1.5 Pro (strong) | — |
| Standalone Pricing (Monthly)(USD) | $20 (Claude Pro) | — |
| Platform Integration Points(platforms) | 8+ (Web, Desktop, API, Slack, etc.) | — |
| Real-Time Collaboration Support(boolean) | Limited (Claude Teams requires separate setup) | — |
| IDE Integration | None (chat interface only) | — |
| Codebase Context Indexing | Manual context provision required | — |
| API Rate Limit (Standard Tier)(calls/hour) | Depends on API tier | — |
| Code Generation Performance(benchmark) | Optimized with native debugging tools | — |
| Grammar Detection Accuracy(percent) | 94% | — |
| Maximum File Upload Size(GB) | 0.02 GB (20MB per file) | — |
| Monthly Active Users(millions) | Gemini | — |
| Daily Active Users(millions) | Gemini | — |
| Quarterly Trading Volume(USD Billions) | Gemini | — |
| Year-over-Year User Growth(percent) | Gemini | — |
| Primary Function | Conversational AI & LLM | — |
| Regulatory License | Consumer AI Product | — |
| Supported Programming Languages(languages) | 40+ languages with debugging | — |
| Enterprise Deployment Options | Cloud-based primarily | — |
| Uptime SLA (Enterprise)(percent) | 99.5% (Google Cloud SLA) | — |
| Maker Trading Fee(%) | 0.50% | — |
| Taker Trading Fee(%) | 0.60% | — |
| NY BitLicense Status | Approved | — |
| Staking Assets Available(count) | 8 | — |
| Maximum Staking APY(%) | Up to 5% | — |
| Margin Trading Available | No | — |
| USD Balance Insurance (FDIC) | Up to $250,000 | — |
| Available Trading Pairs(pairs) | 120+ | — |
| US State Money Transmitter Licenses(states) | 50 states (all) | — |
| NY BitLicense Status | Fully licensed | — |
| Maximum Margin Leverage(x) | Limited/unavailable | — |
| Year Founded | 2014 | — |
| Video Processing Capability | Yes | — |
CClaude
GGemini
Web Search
Yes (Feb 2026)
—
Multimodal Capabilities
Text and code focused
Advanced (image, video, text)
Image Generation
No
Yes — Imagen 4
Real-Time Web Search
Not available
Free
Real-Time Information Access
No
No (April 2024 cutoff)
Show 8 more attributes
Voice/Audio Capabilities
No
—
Real-Time Web Access
No (April 2024 cutoff)
—
Platform Integrations(count)
API only (requires custom setup)
—
Image Generation Capability
Limited (image analysis only)
—
Web Browsing Capability
No
—
Supported Assets
Text, Images, Video, Code
—
Multimodal Input Support
Text, images, video, audio
—
Supported Cryptocurrencies(assets)
95+
—
Coding Blind Test Winner
Won coding tests
—
Long Document Handling
Superior
—
Context Window (Paid Tier)(tokens)
200,000
—
Context Window (Tokens)(tokens)
200,000
1,000,000
Multimodal Format Support(formats)
3 (text, image, PDF)
5 (text, image, audio, video, docs)
Reasoning Capability Rating(score (1-10))
9.5
8.0
Show 3 more attributes
Input Types Supported
Code, text, images, PDFs, documents
—
Real-Time Information
April 2024 knowledge cutoff
—
Supported Input Formats(count)
Text, images, audio, video
—
Execution Speed
Slower (more thorough)
—
Coding Benchmark (Specialist)(%)
92% accuracy
—
MMLU Reasoning Score(%)
88.3%
—
Code Generation Accuracy (HumanEval)(%)
92%
—
Code Generation Benchmark Score(%)
92% (HumanEval)
89.7
Show 16 more attributes
Maximum Response Time(seconds)
2-6 seconds average
—
Code Completion Latency(milliseconds)
500-2000ms (chat response)
—
Code Generation Benchmark (HumanEval)(score out of 100)
94/100
—
Complex Reasoning Benchmark(score out of 100)
88/100
—
MMLU Benchmark Score(percent)
94.4%
—
Coding Task Accuracy (HumanEval Benchmark)(%)
92.0%
—
Code Generation Success Rate(percent)
88% on HumanEval
—
Response Time for Complex Tasks(seconds)
3-6 seconds average
—
Code Completion Speed(seconds)
N/A (manual conversation only)
—
User Reported Reasoning Quality (Scale 1-10)(score)
9.1/10
—
Code Generation Accuracy(% on HumanEval)
92%
—
Context Window Size(tokens)
1 million tokens (Gemini 2.0)
—
Complex Reasoning Accuracy (AIME Benchmark)(percentage)
~62%
—
Code Generation Quality (HumanEval Benchmark)(percentage)
~92%
—
Coding Performance (HumanEval Benchmark)(%)
92.3%
—
Mathematical Reasoning (MATH-500)(%)
90%
—
Market Adoption 2026
Growing adoption
—
SWE-bench Verified Score(%)
80.9%
—
Monthly Active Users(millions)
Claude
Gemini
Monthly Active Users(millions)
~15 million (est. 2026)
100
Developer Preference Rating(%)
Claude
Gemini
Coding Task Excellence(benchmark)
Excellent (leading tool)
Good
Reasoning Quality(benchmark)
Superior (Claude 4.6)
Strong
Ecosystem Integration
Standalone platform
Google Search, Workspace, Maps
Google Workspace Integration
2
10
Windows OS Integration
Web browser only, no native integration
—
Microsoft 365 Integration
No integration, manual file uploads required
—
Integrated App Support(number of apps)
Web interface + API only
—
Show 6 more attributes
Microsoft 365 Integration Level
Limited (API/plugins)
—
Windows Native Integration
Third-party only
—
Real-time Browser Integration(boolean)
No (manual input required)
—
Office 365 Integration
Web-based only
—
Developer API Availability
Full access via Vertex AI and AI Studio
—
Workplace Integration
Google Workspace, Drive, Gmail, Search
—
Company Valuation(billions USD)
Claude
Gemini (Google)
Content Writing Refinement
Nuanced and contextual
Good but formulaic
Input Cost per Million Tokens(USD)
$8.00
$7.50
Output Cost per Million Tokens(USD)
$24.00
$30.00
Free tier
Sonnet 4.6 (rate-limited)
3.5 Flash (generous limits)
Paid entry plan
Claude Pro $20/mo
Google AI Pro $19.99/mo
Power-user tier
Max $100–$200/mo
Ultra $100–$200/mo
Show 22 more attributes
Team plan
$30/user/mo
Workspace Business (varies)
API input (per 1M tokens)
Sonnet 4.6: $3.00
3.5 Flash: ~$0.10
Pro Subscription Cost(USD/month)
$20/month
—
Free Tier Availability
Yes (Claude.ai with limitations)
Yes (with limitations)
Subscription Cost (Primary Plan)(USD per month)
$20/month (Claude Pro)
—
Monthly Cost (Individual User)(USD)
$20 (Claude Pro)
—
Monthly Subscription Cost(USD)
$20/month
—
Free Tier Capability
Full Claude 3.5 Sonnet with usage limits
—
Monthly Cost (Subscription)(USD)
$20
—
API Input Cost(USD per 1M tokens)
$3 (Opus) / $0.80 (Haiku)
—
Monthly Subscription (Pro/Standard)(USD)
$20
—
Monthly Subscription Cost (Premium/Pro Tier)(USD)
$20.00/month
—
Annual Subscription Cost (Premium/Pro Tier)(USD)
$240.00/year
—
Monthly Subscription Price(USD)
$20
—
Premium Subscription Cost(USD/month)
$20/month (Pro)
—
Cost to Users
Free (premium paid options)
—
Starting Price (Monthly)(USD)
Free (Gemini Free or Premium $20)
—
Monthly Subscription Cost (Premium)(USD)
$20/month (Google One Premium)
—
Minimum Subscription Cost (Annual)(USD)
$0 (Free tier available)
—
Maker Trading Fee(%)
0.25%
—
Taker Trading Fee(%)
0.35%
—
Premium Subscription Cost (Monthly)(USD)
$20 (Gemini Advanced)
—
Average Response Latency(milliseconds)
380
320
Third-Party Integrations Available(integrations)
2,000+
1,500+
Standalone Usage Capability(boolean)
Yes (fully independent)
—
Document Processing Types
PDF, Images, Web content, Video
—
Headline model
Sonnet 4.6, Opus 4.8
Gemini 3.1 Pro, 3.5 Flash
Coding (SWE-bench Verified)
#1 (Opus 4.8 + Claude Code)
Competitive (3.1 Pro)
Web grounding / citations
Via integrations / Computer Use
Native Search grounding
Multilingual quality
Strong (esp. European + Japanese)
Broadest (Google translation lineage)
Structured output / JSON mode
Strict tool use + JSON schemas
Controlled generation + JSON schemas
Show 1 more attribute
Training data cut-off
~2025
~2025 (Search compensates)
Image input
Yes
Yes
Voice mode
Limited (API-based)
Yes (rolling out)
Agentic capability
Claude Code + Computer Use
Agentic in Workspace
Plugin Ecosystem(available plugins)
MCP-based (growing)
Google integrations
Mobile app quality
iOS/Android, catching up
Polished; merges with Google app on Android
Prompt caching (API)
Explicit cache markers (5m / 1h)
Implicit + explicit context caching
Fine-tuning (API)
No public fine-tuning
Gemini 3.5 Flash
On-prem / self-host
Cloud-only (Bedrock / Vertex)
Cloud-only (Vertex AI)
API rate limits (Tier 1)
~50 RPM / 40K ITPM (Sonnet 4.6)
~360 RPM / 4M TPM (3.1 Pro)
Context Window (Token Limit)(tokens)
200,000 tokens
—
Complex Reasoning Accuracy (AIME 2024)(percent)
85%
—
Knowledge Cutoff Date(month/year)
April 2024
—
Content Moderation Strictness(level)
Strict safety guidelines
Strict - refuses harmful/controversial
Content Moderation Level
Standard
—
Training Data Recency(months_old)
Static as of April 2024
20 months (April 2024)
Available Platforms(count)
5+ (Web, iOS, Android, API, third-party apps)
—
Document Summarization Effectiveness(%)
89% user satisfaction
—
Real-Time Integration
No—requires manual submission
—
Mobile App Rating (iOS)(stars out of 5)
4.6/5
—
Content Generation Capability(max words per output)
Up to 150,000 words
—
Number of Supported AI Models(models)
Claude 3.5 Sonnet, Claude 3 Opus, Claude 3 Haiku
—
Max File Size for Analysis(megabytes)
~10MB per upload (practical limit)
—
Context Window Size(tokens)
200,000 tokens
1,000,000
Context Window (Maximum Tokens)(tokens)
200,000 tokens
—
Show 2 more attributes
Document Summarization Quality(satisfaction score)
8.7/10 standalone
—
Context Window (Max Input Length)(tokens)
200,000 tokens
—
Platform Availability(platforms)
Web, iOS, Android, API
—
Available on Mobile
iOS app available
—
Mobile App Availability
iOS, Android (native Gemini app)
—
Estimated Daily Active Users(millions)
~10 million (reported by Anthropic, 2024)
—
Monthly Active Users(millions)
1.5 billion+ (all Google products)
—
Years Since Launch(years)
2 years (launched March 2024)
—
Context Window(tokens)
200,000 tokens
1M tokens (3.1 Pro)
Hallucination Rate on Factual Tasks(percent)
3-5%
—
Hallucination Rate(% on factual queries)
4-6%
—
Free Tier Model Quality(equivalent tier)
Claude 3.5 Haiku (capable)
—
Free Tier Quality
Gemini 1.5 Pro (strong)
—
Standalone Pricing (Monthly)(USD)
$20 (Claude Pro)
—
Platform Integration Points(platforms)
8+ (Web, Desktop, API, Slack, etc.)
—
Real-Time Collaboration Support(boolean)
Limited (Claude Teams requires separate setup)
—
IDE Integration
None (chat interface only)
—
Codebase Context Indexing
Manual context provision required
—
API Rate Limit (Standard Tier)(calls/hour)
Depends on API tier
—
Code Generation Performance(benchmark)
Optimized with native debugging tools
—
Grammar Detection Accuracy(percent)
94%
—
Maximum File Upload Size(GB)
0.02 GB (20MB per file)
—
Monthly Active Users(millions)
Gemini
—
Daily Active Users(millions)
Gemini
—
Quarterly Trading Volume(USD Billions)
Gemini
—
Year-over-Year User Growth(percent)
Gemini
—
Primary Function
Conversational AI & LLM
—
Regulatory License
Consumer AI Product
—
Supported Programming Languages(languages)
40+ languages with debugging
—
Enterprise Deployment Options
Cloud-based primarily
—
Uptime SLA (Enterprise)(percent)
99.5% (Google Cloud SLA)
—
Maker Trading Fee(%)
0.50%
—
Taker Trading Fee(%)
0.60%
—
NY BitLicense Status
Approved
—
Staking Assets Available(count)
8
—
Maximum Staking APY(%)
Up to 5%
—
Margin Trading Available
No
—
USD Balance Insurance (FDIC)
Up to $250,000
—
Available Trading Pairs(pairs)
120+
—
US State Money Transmitter Licenses(states)
50 states (all)
—
NY BitLicense Status
Fully licensed
—
Maximum Margin Leverage(x)
Limited/unavailable
—
Year Founded
2014
—
Video Processing Capability
Yes
—
Pros & Cons
12 pros·10 cons across both
C
G
C
Claude
+6-5
Pros
- Highest developer satisfaction (46% 'most loved' rating)
- Superior reasoning and complex problem-solving
- Best-in-class code generation and technical writing
- Leading AI coding tool (overtook GitHub Copilot in 8 months)
- Strong context understanding for long-form content
- Focused experience without distraction
Cons
- Smaller user base (18.9M MAU vs competitors)
- Limited ecosystem integration
- Weaker multimodal capabilities
- Higher pricing for enterprise tiers
- Less mainstream brand recognition
G
Gemini
+6-5
Pros
- Massive user base (750M+ monthly active users)
- Native integration with Google Search and Workspace
- Advanced multimodal processing (images, video, text)
- Excellent real-time information access via Search
- Affordable pricing tiers (AI Plus, Pro, Ultra options)
- Strong brand recognition and mainstream adoption
Cons
- Secondary choice for developers (46% prefer Claude)
- Less specialized for coding tasks
- Reasoning capabilities behind Claude 4.6
- Content generation can be less refined
- Feature fragmentation across multiple tiers
Frequently Asked Questions
5 questions
Claude is the clear winner for coding tasks. It's the most-used AI coding tool (Pragmatic Engineer Survey, 15,000 developers, Feb 2026) with 46% 'most loved' rating and overtook GitHub Copilot in just 8 months. Gemini is secondary for development work.
Resources & Learn More
Curated sources to dive deeper
Where to Buy
As an affiliate, we may earn a commission from qualifying purchases at no extra cost to you. Learn more about our affiliate disclosure
Wikipedia
- W
Claude on Wikipedia (opens in new tab)
Anthropic's AI assistant focused on reasoning, safety, and nuanced analysis with industry-leading context window.
- W
Gemini on Wikipedia (opens in new tab)
Google's advanced multimodal AI with superior reasoning, coding, and integration into Google's product suite.
SmartReview Ratings
Aggregated ratings from Reddit, G2, Capterra, Trustpilot & more
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