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DeepSeek R1 Zero vs Gemini 1.5 Flash
Comprehensive side-by-side LLM comparison
DeepSeek R1 Zero leads with 22.3% higher average benchmark score. Gemini 1.5 Flash supports multimodal inputs. Overall, DeepSeek R1 Zero is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-R1-Zero was introduced as an experimental variant trained with minimal human supervision, designed to develop reasoning patterns through self-guided reinforcement learning. Built to explore how models can discover analytical strategies independently, it represents research into autonomous reasoning capability development.
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Gemini 1.5 Flash was created as a fast and efficient multimodal model, designed to provide quick responses while handling text, images, and other modalities. Built for applications requiring low latency and high throughput, it balances capability with speed to serve real-time and high-volume use cases.
8 months newer
Gemini 1.5 Flash
2024-05-01
DeepSeek R1 Zero
DeepSeek
2025-01-20
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Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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DeepSeek R1 Zero
Average Score:73.3%(+22.3%)
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Gemini 1.5 Flash
Average Score:51.0%
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Knowledge Cutoff
Training data recency comparison
Gemini 1.5 Flash
2023-11-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek R1 Zero
0 providers
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Gemini 1.5 Flash
1 providers
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DeepSeek R1 Zero
Avg Score:73.3%(+22.3%)
Providers:0
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Gemini 1.5 Flash
Avg Score:51.0%
Providers:1