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DeepSeek R1 Distill Qwen 32B vs Gemini 2.0 Flash Thinking
Comprehensive side-by-side LLM comparison
Gemini 2.0 Flash Thinking leads with 1.0% 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-Qwen-32B was created as a larger distilled variant, designed to transfer more of DeepSeek-R1's reasoning capabilities into a Qwen-based foundation. Built to serve applications requiring enhanced analytical depth, it represents a powerful option in the distilled reasoning model family.
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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 Qwen 32B
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 Qwen 32B
Average Score:72.7%
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Gemini 2.0 Flash Thinking
Average Score:73.8%(+1.0%)
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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 Qwen 32B
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 Qwen 32B
Avg Score:72.7%
Providers:1
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Gemini 2.0 Flash Thinking
Avg Score:73.8%(+1.0%)
Providers:0