+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
DeepSeek R1 Distill Qwen 1.5B vs Gemini 2.0 Flash Thinking
Comprehensive side-by-side LLM comparison
Gemini 2.0 Flash Thinking leads with 30.5% higher average benchmark score. Gemini 2.0 Flash Thinking supports multimodal inputs. Overall, Gemini 2.0 Flash Thinking is the stronger choice for coding tasks.
+
+
+
+
DeepSeek
DeepSeek-R1-Distill-Qwen-1.5B was created through distillation into an ultra-compact Qwen architecture, designed to enable reasoning capabilities on resource-constrained devices. Built with just 1.5 billion parameters, it brings advanced analytical techniques to edge computing and mobile scenarios.
+
+
+
+
Gemini 2.0 Flash Thinking was developed to incorporate extended reasoning capabilities into the Flash family, designed to combine quick response times with deeper analytical processing. Built to handle tasks requiring both speed and thoughtful problem-solving, it bridges the gap between fast inference and reasoning-enhanced models.
1 days newer
DeepSeek R1 Distill Qwen 1.5B
DeepSeek
2025-01-20
Gemini 2.0 Flash Thinking
2025-01-21
+
+
+
+
+
+
+
+
+
+
+
+
Average performance across 2 common benchmarks
+
+
+
+
DeepSeek R1 Distill Qwen 1.5B
Average Score:43.3%
+
+
+
+
Gemini 2.0 Flash Thinking
Average Score:73.8%(+30.5%)
+
+
+
+
Knowledge Cutoff
Training data recency comparison
Gemini 2.0 Flash Thinking
2024-08-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
DeepSeek R1 Distill Qwen 1.5B
0 providers
+
+
+
+
Gemini 2.0 Flash Thinking
0 providers
+
+
+
+
DeepSeek R1 Distill Qwen 1.5B
Avg Score:43.3%
Providers:0
+
+
+
+
Gemini 2.0 Flash Thinking
Avg Score:73.8%(+30.5%)
Providers:0