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Gemini 2.0 Flash Thinking vs Llama 3.2 3B Instruct
Comprehensive side-by-side LLM comparison
Llama 3.2 3B Instruct leads with 36.0% higher average benchmark score. Gemini 2.0 Flash Thinking supports multimodal inputs. Overall, Llama 3.2 3B Instruct is the stronger choice for coding tasks.
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Gemini 2.0 Flash Thinking is a multimodal language model developed by Google. It achieves strong performance with an average score of 74.3% across 3 benchmarks. Notable strengths include MMMU (75.4%), GPQA (74.2%), AIME 2024 (73.3%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Google's latest advancement in AI technology.
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Meta
Llama 3.2 3B Instruct is a language model developed by Meta. The model shows competitive results across 15 benchmarks. It excels particularly in NIH/Multi-needle (84.7%), ARC-C (78.6%), GSM8k (77.7%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, it represents Meta's latest advancement in AI technology.
3 months newer
Llama 3.2 3B Instruct
Meta
2024-09-25
Gemini 2.0 Flash Thinking
2025-01-21
Performance Metrics
Context window and performance specifications
Average performance across 17 common benchmarks
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Gemini 2.0 Flash Thinking
Average Score:13.1%
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Llama 3.2 3B Instruct
Average Score:49.1%(+36.0%)
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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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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:13.1%
Providers:0
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Llama 3.2 3B Instruct
Avg Score:49.1%(+36.0%)
Providers:1