DeepSeek vs Gemini
Google Gemini
Google's multimodal AI model with enterprise capabilities and Personal Intelligence features.
Enterprise teams, creative professionals, researchers, and organizations requiring advanced multimodal AI and contextual user intelligence.
VS
DV
DeepSeek V4
Open-source AI model optimized for coding, efficiency, and cost-effectiveness with 1M token context.
Developers, startups, small enterprises, and individuals seeking cost-effective AI for coding tasks, data analysis, and technical writing.
Short Answer
Gemini scores 78/100 overall with superior multimodal capabilities and enterprise features, while DeepSeek V4 scores 38/100 but excels in coding efficiency with 81% SWE-bench performance and costs 90% less at $0.30/MTok. Gemini dominates general use; DeepSeek wins for budget-conscious developers.
Our Verdict
Choose Gemini if you need enterprise-grade AI with superior multimodal capabilities, improved reasoning, and Personal Intelligence features for broader creative and analytical tasks. Choose DeepSeek if you're a developer prioritizing coding performance (81% SWE-bench), cost efficiency ($0.30/MTok pricing), and open-source accessibility with a 1M-token context window.
Google Gemini10
5DeepSeek V4
Choose Google Gemini if
Enterprise teams, creative professionals, researchers, and organizations requiring advanced multimodal AI and contextual user intelligence.
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Key Differences at a Glance
⚡
Overall Performance Score: Google Gemini wins (78/100 vs 38/100)
🔹
Coding Benchmark (SWE-bench): DeepSeek V4 wins (81% vs Not specified)
🔹
Context Window: DeepSeek V4 wins (1M tokens vs Not specified)
Key Facts & Figures
| Metric | Google Gemini | DeepSeek V4 | Diff |
|---|---|---|---|
| Google Workspace App Integrations(apps) | 4+ native integrations | — | — |
| Overall Performance Score(score out of 100) | 78/100 | 38/100 | +105% |
| SWE-bench Coding Performance(percentage) | Not specified | 81% | — |
| Context Window Size(tokens) |
Key Differences
Google Gemini
Attribute
DeepSeek V4
78/100🏆
Overall Performance Score
38/100
Not specified
Coding Benchmark (SWE-bench)
81%🏆
Not specified
Context Window
1M tokens🏆
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Last updated: May 10, 2026AI generated
