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Llama 3.1 8B Instruct vs Qwen2.5-Coder 7B Instruct
Comprehensive side-by-side LLM comparison
Llama 3.1 8B Instruct leads with 4.2% higher average benchmark score. Llama 3.1 8B Instruct is available on 9 providers. Both models have their strengths depending on your specific coding needs.
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Meta
Llama 3.1 8B was developed as an efficient open-source model, designed to bring capable instruction-following to applications with limited computational resources. Built with 8 billion parameters, it provides a lightweight option for developers seeking reliable performance without the overhead of larger models.
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Alibaba Cloud / Qwen Team
Qwen 2.5 Coder 7B was created as an efficient coding-specialized model, designed to bring strong programming capabilities to resource-conscious deployments. Built with 7 billion parameters optimized for code understanding and generation, it provides developers with a lightweight option for code-related tasks.
1 month newer
Llama 3.1 8B Instruct
Meta
2024-07-23
Qwen2.5-Coder 7B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
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Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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Llama 3.1 8B Instruct
Average Score:68.4%(+4.2%)
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Qwen2.5-Coder 7B Instruct
Average Score:64.3%
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Knowledge Cutoff
Training data recency comparison
Llama 3.1 8B Instruct
2023-12-31
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Llama 3.1 8B Instruct
9 providers
Bedrock
Throughput: 100 tok/s
Latency: 0.5ms
Cerebras
Throughput: 2047 tok/s
Latency: 0.2ms
DeepInfra
Throughput: 118 tok/s
Latency: 0.5ms
Fireworks
Throughput: 292 tok/s
Latency: 0.5ms
Groq
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Llama 3.1 8B Instruct
Avg Score:68.4%(+4.2%)
Providers:9
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Qwen2.5-Coder 7B Instruct
Avg Score:64.3%
Providers:0