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DeepSeek R1 Distill Llama 70B vs Gemini 2.0 Flash Thinking
Comprehensive side-by-side LLM comparison
DeepSeek R1 Distill Llama 70B leads with 2.2% higher average benchmark score. Gemini 2.0 Flash Thinking supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek-R1-Distill-Llama-70B was created through knowledge distillation from DeepSeek-R1 into a Llama-based architecture, designed to transfer reasoning capabilities to a widely-used open-source foundation. Built to combine DeepSeek's reasoning innovations with Llama's ecosystem compatibility, it enables broader access to advanced reasoning techniques.
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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.
1 days newer
DeepSeek R1 Distill Llama 70B
DeepSeek
2025-01-20
Gemini 2.0 Flash Thinking
2025-01-21
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Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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DeepSeek R1 Distill Llama 70B
Average Score:76.0%(+2.2%)
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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 Distill Llama 70B
1 providers
DeepInfra
Throughput: 37 tok/s
Latency: 0.65ms
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Gemini 2.0 Flash Thinking
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DeepSeek R1 Distill Llama 70B
Avg Score:76.0%(+2.2%)
Providers:1
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Gemini 2.0 Flash Thinking
Avg Score:73.8%
Providers:0