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DeepSeek-V3 vs Llama 3.1 8B Instruct
Comprehensive side-by-side LLM comparison
DeepSeek-V3 leads with 22.6% higher average benchmark score. Llama 3.1 8B Instruct is $1.31 cheaper per million tokens. Llama 3.1 8B Instruct is available on 9 providers. Overall, DeepSeek-V3 is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-V3 was introduced as a major architectural advancement, developed with 671B mixture-of-experts parameters and trained on 14.8 trillion tokens. Built to be three times faster than V2 while maintaining open-source availability, it demonstrates competitive performance against frontier closed-source models and represents a significant leap in efficient large-scale model design.
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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.
5 months newer
Llama 3.1 8B Instruct
Meta
2024-07-23
DeepSeek-V3
DeepSeek
2024-12-25
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Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V3
Input:$0.27
Output:$1.10
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Llama 3.1 8B Instruct
Input:$0.03
Output:$0.03($1.31 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 5 common benchmarks
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DeepSeek-V3
Average Score:80.2%(+22.6%)
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Llama 3.1 8B Instruct
Average Score:57.6%
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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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DeepSeek-V3
1 providers
DeepSeek
Throughput: 100 tok/s
Latency: 0.5ms
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Llama 3.1 8B Instruct
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DeepSeek-V3
Avg Score:80.2%(+22.6%)
Providers:1
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Llama 3.1 8B Instruct
Avg Score:57.6%
Providers:9