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DeepSeek-R1-0528 vs Gemini 2.0 Flash Thinking
Comprehensive side-by-side LLM comparison
DeepSeek-R1-0528 leads with 12.5% higher average benchmark score. Gemini 2.0 Flash Thinking supports multimodal inputs. DeepSeek-R1-0528 is available on 3 providers. Overall, DeepSeek-R1-0528 is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-R1-0528 represents a specific release iteration of the DeepSeek-R1 model, developed to incorporate refinements and improvements from ongoing training. Built to provide enhanced reasoning capabilities based on accumulated insights, it continues the evolution of DeepSeek's reasoning-focused architecture.
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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.
4 months newer
Gemini 2.0 Flash Thinking
2025-01-21
DeepSeek-R1-0528
DeepSeek
2025-05-28
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Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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DeepSeek-R1-0528
Average Score:86.2%(+12.5%)
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Gemini 2.0 Flash Thinking
Average Score:73.8%
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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
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DeepSeek-R1-0528
3 providers
DeepInfra
Throughput: 45.04 tok/s
Latency: 0.61ms
DeepSeek
Throughput: 9 tok/s
Latency: 0.3ms
Novita
Throughput: 37.96 tok/s
Latency: 1.18ms
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DeepSeek-R1-0528
Avg Score:86.2%(+12.5%)
Providers:3
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Gemini 2.0 Flash Thinking
Avg Score:73.8%
Providers:0