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Gemini 1.5 Pro vs Llama 3.2 3B Instruct
Comprehensive side-by-side LLM comparison
Gemini 1.5 Pro leads with 25.5% higher average benchmark score. Gemini 1.5 Pro offers 1.8M more tokens in context window than Llama 3.2 3B Instruct. Llama 3.2 3B Instruct is $12.47 cheaper per million tokens. Gemini 1.5 Pro supports multimodal inputs. Overall, Gemini 1.5 Pro is the stronger choice for coding tasks.
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Gemini 1.5 Pro was introduced as Google's advanced multimodal model with an expanded context window, designed to comprehend and reason across long documents, videos, and audio. Built to handle complex, information-rich tasks, it brought breakthrough capabilities in processing extended context while maintaining high-quality reasoning and generation.
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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.
4 months newer
Gemini 1.5 Pro
2024-05-01
Llama 3.2 3B Instruct
Meta
2024-09-25
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Pricing Comparison
Cost per million tokens (USD)
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Gemini 1.5 Pro
Input:$2.50
Output:$10.00
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Llama 3.2 3B Instruct
Input:$0.01
Output:$0.02($12.47 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 6 common benchmarks
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Gemini 1.5 Pro
Average Score:83.9%(+25.5%)
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Llama 3.2 3B Instruct
Average Score:58.3%
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Knowledge Cutoff
Training data recency comparison
Gemini 1.5 Pro
2023-11-01
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 1.5 Pro
1 providers
Throughput: 85 tok/s
Latency: 0.7ms
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Llama 3.2 3B Instruct
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Gemini 1.5 Pro
Avg Score:83.9%(+25.5%)
Providers:1
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Llama 3.2 3B Instruct
Avg Score:58.3%
Providers:1