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Llama 3.2 3B Instruct vs Qwen2 7B Instruct
Comprehensive side-by-side LLM comparison
Qwen2 7B Instruct leads with 1.5% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
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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
Qwen2 7B was created as an efficient variant in the Qwen2 family, designed to provide capable instruction-following with 7 billion parameters. Built to serve as a practical foundation for applications requiring reliable language understanding, it balances performance with deployment efficiency.
2 months newer
Qwen2 7B Instruct
Alibaba Cloud / Qwen Team
2024-07-23
Llama 3.2 3B Instruct
Meta
2024-09-25
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Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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Llama 3.2 3B Instruct
Average Score:55.5%
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Qwen2 7B Instruct
Average Score:56.9%(+1.5%)
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 7B Instruct
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Llama 3.2 3B Instruct
Avg Score:55.5%
Providers:1
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Qwen2 7B Instruct
Avg Score:56.9%(+1.5%)
Providers:0