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Llama 3.2 3B Instruct vs Qwen2.5 14B Instruct
Comprehensive side-by-side LLM comparison
Qwen2.5 14B Instruct leads with 13.4% higher average benchmark score. Overall, Qwen2.5 14B Instruct is the stronger choice for coding tasks.
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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.
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Alibaba Cloud / Qwen Team
Qwen 2.5 14B was developed as a mid-sized instruction-tuned model, designed to balance capability and efficiency for diverse language tasks. Built with 14 billion parameters, it provides strong performance for applications requiring reliable instruction-following without the resource demands of larger models.
6 days newer
Qwen2.5 14B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
Llama 3.2 3B Instruct
Meta
2024-09-25
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Performance Metrics
Context window and performance specifications
Average performance across 5 common benchmarks
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Llama 3.2 3B Instruct
Average Score:60.1%
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Qwen2.5 14B Instruct
Average Score:73.5%(+13.4%)
Provider Availability & Performance
Available providers and their performance metrics
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Llama 3.2 3B Instruct
1 providers
DeepInfra
Throughput: 171.5 tok/s
Latency: 0.24ms
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Qwen2.5 14B Instruct
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Llama 3.2 3B Instruct
Avg Score:60.1%
Providers:1
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Qwen2.5 14B Instruct
Avg Score:73.5%(+13.4%)
Providers:0