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Gemini 1.5 Flash 8B vs Llama 3.2 3B Instruct
Comprehensive side-by-side LLM comparison
Gemini 1.5 Flash 8B leads with 8.1% higher average benchmark score. Gemini 1.5 Flash 8B offers 800.8K more tokens in context window than Llama 3.2 3B Instruct. Both models have similar pricing. Gemini 1.5 Flash 8B supports multimodal inputs. Overall, Gemini 1.5 Flash 8B is the stronger choice for coding tasks.
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Gemini 1.5 Flash 8B was developed as an ultra-compact variant of Gemini 1.5 Flash, designed to deliver multimodal capabilities with minimal resource requirements. Built for deployment scenarios where efficiency is critical, it provides a lightweight option for applications requiring fast, cost-effective AI processing.
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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.
6 months newer
Gemini 1.5 Flash 8B
2024-03-15
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 Flash 8B
Input:$0.07
Output:$0.30
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Llama 3.2 3B Instruct
Input:$0.01
Output:$0.02($0.34 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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Gemini 1.5 Flash 8B
Average Score:48.5%(+8.1%)
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Llama 3.2 3B Instruct
Average Score:40.4%
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Knowledge Cutoff
Training data recency comparison
Gemini 1.5 Flash 8B
2024-10-01
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 Flash 8B
1 providers
Throughput: 150 tok/s
Latency: 0.3ms
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Llama 3.2 3B Instruct
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Gemini 1.5 Flash 8B
Avg Score:48.5%(+8.1%)
Providers:1
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Llama 3.2 3B Instruct
Avg Score:40.4%
Providers:1