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Gemini 2.5 Flash-Lite vs Llama 3.2 3B Instruct
Comprehensive side-by-side LLM comparison
Gemini 2.5 Flash-Lite leads with 31.8% higher average benchmark score. Gemini 2.5 Flash-Lite offers 858.1K more tokens in context window than Llama 3.2 3B Instruct. Both models have similar pricing. Gemini 2.5 Flash-Lite supports multimodal inputs. Overall, Gemini 2.5 Flash-Lite is the stronger choice for coding tasks.
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Gemini 2.5 Flash Lite was created as the most efficient option in the Gemini 2.5 family, designed to provide cutting-edge capabilities with minimal computational overhead. Built for applications where cost and latency are primary concerns, it extends advanced multimodal understanding to resource-conscious deployments.
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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.
8 months newer
Llama 3.2 3B Instruct
Meta
2024-09-25
Gemini 2.5 Flash-Lite
2025-06-17
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Pricing Comparison
Cost per million tokens (USD)
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Gemini 2.5 Flash-Lite
Input:$0.10
Output:$0.40
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Llama 3.2 3B Instruct
Input:$0.01
Output:$0.02($0.47 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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Gemini 2.5 Flash-Lite
Average Score:64.6%(+31.8%)
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Llama 3.2 3B Instruct
Average Score:32.8%
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Knowledge Cutoff
Training data recency comparison
Gemini 2.5 Flash-Lite
2025-01-01
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 2.5 Flash-Lite
1 providers
Throughput: 5.69 tok/s
Latency: 0.44ms
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Llama 3.2 3B Instruct
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Gemini 2.5 Flash-Lite
Avg Score:64.6%(+31.8%)
Providers:1
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Llama 3.2 3B Instruct
Avg Score:32.8%
Providers:1