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Gemini 2.0 Flash Thinking vs Llama 3.2 3B Instruct
Comprehensive side-by-side LLM comparison
Gemini 2.0 Flash Thinking leads with 41.4% 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.
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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.
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Meta
Llama 3.2 3B was created as an ultra-compact open-source model, designed to enable on-device and edge deployment scenarios. Built with just 3 billion parameters while retaining instruction-following abilities, it brings Meta's language technology to mobile devices, IoT applications, and resource-constrained environments.
3 months newer
Llama 3.2 3B Instruct
Meta
2024-09-25
Gemini 2.0 Flash Thinking
2025-01-21
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Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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Gemini 2.0 Flash Thinking
Average Score:74.2%(+41.4%)
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Llama 3.2 3B Instruct
Average Score:32.8%
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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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Gemini 2.0 Flash Thinking
0 providers
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Llama 3.2 3B Instruct
1 providers
DeepInfra
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Gemini 2.0 Flash Thinking
Avg Score:74.2%(+41.4%)
Providers:0
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Llama 3.2 3B Instruct
Avg Score:32.8%
Providers:1