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DeepSeek-V3 vs Llama 3.3 70B Instruct
Comprehensive side-by-side LLM comparison
DeepSeek-V3 leads with 3.0% higher average benchmark score. DeepSeek-V3 offers 6.1K more tokens in context window than Llama 3.3 70B Instruct. Llama 3.3 70B Instruct is $0.97 cheaper per million tokens. Llama 3.3 70B Instruct is available on 9 providers. Both models have their strengths depending on your specific coding needs.
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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 3.3 70B was introduced with refinements to the Llama 3 architecture, designed to incorporate improvements in instruction-following and task performance. Built to continue the evolution of Meta's 70B tier, it provides enhanced quality while maintaining the deployment characteristics valued by the open-source community.
19 days newer
Llama 3.3 70B Instruct
Meta
2024-12-06
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 3.3 70B Instruct
Input:$0.20
Output:$0.20($0.97 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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DeepSeek-V3
Average Score:77.4%(+3.0%)
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Llama 3.3 70B Instruct
Average Score:74.4%
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 3.3 70B Instruct
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DeepSeek-V3
Avg Score:77.4%(+3.0%)
Providers:1
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Llama 3.3 70B Instruct
Avg Score:74.4%
Providers:9