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DeepSeek-V3.1 vs Llama 3.1 8B Instruct
Comprehensive side-by-side LLM comparison
DeepSeek-V3.1 leads with 40.0% higher average benchmark score. DeepSeek-V3.1 offers 65.5K more tokens in context window than Llama 3.1 8B Instruct. Llama 3.1 8B Instruct is $1.21 cheaper per million tokens. Llama 3.1 8B Instruct is available on 9 providers. Overall, DeepSeek-V3.1 is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-V3.1 was developed as an incremental advancement over DeepSeek-V3, designed to refine the mixture-of-experts architecture with improved training techniques. Built to enhance quality and efficiency while maintaining the open-source philosophy, it represents continued iteration on DeepSeek's flagship model line.
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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-V3.1
DeepSeek
2025-01-10
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Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V3.1
Input:$0.27
Output:$1.00
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Llama 3.1 8B Instruct
Input:$0.03
Output:$0.03($1.21 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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DeepSeek-V3.1
Average Score:79.3%(+40.0%)
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Llama 3.1 8B Instruct
Average Score:39.3%
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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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DeepSeek-V3.1
2 providers
DeepInfra
Novita
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Llama 3.1 8B Instruct
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DeepSeek-V3.1
Avg Score:79.3%(+40.0%)
Providers:2
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Llama 3.1 8B Instruct
Avg Score:39.3%
Providers:9