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Llama 3.1 8B Instruct vs Qwen2 7B Instruct
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. 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
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.
Launched on the same date
Llama 3.1 8B Instruct
Meta
2024-07-23
Qwen2 7B Instruct
Alibaba Cloud / Qwen Team
2024-07-23
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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:55.2%(+0.2%)
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Qwen2 7B Instruct
Average Score:54.9%
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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:55.2%(+0.2%)
Providers:9
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Qwen2 7B Instruct
Avg Score:54.9%
Providers:0