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DeepSeek-V3 vs Llama 3.2 3B Instruct
Comprehensive side-by-side LLM comparison
DeepSeek-V3 leads with 15.9% higher average benchmark score. DeepSeek-V3 offers 6.1K more tokens in context window than Llama 3.2 3B Instruct. Llama 3.2 3B Instruct is $1.34 cheaper per million tokens. Overall, DeepSeek-V3 is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-V3 is a language model developed by DeepSeek. It achieves strong performance with an average score of 67.2% across 20 benchmarks. It excels particularly in DROP (91.6%), CLUEWSC (90.9%), MATH-500 (90.2%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, it represents DeepSeek's latest advancement in AI technology.
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Meta
Llama 3.2 3B Instruct is a language model developed by Meta. The model shows competitive results across 15 benchmarks. It excels particularly in NIH/Multi-needle (84.7%), ARC-C (78.6%), GSM8k (77.7%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, it represents Meta's latest advancement in AI technology.
3 months newer
Llama 3.2 3B Instruct
Meta
2024-09-25
DeepSeek-V3
DeepSeek
2024-12-25
Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V3
Input:$0.27
Output:$1.10
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Llama 3.2 3B Instruct
Input:$0.01
Output:$0.02($1.34 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 32 common benchmarks
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DeepSeek-V3
Average Score:42.0%(+15.9%)
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Llama 3.2 3B Instruct
Average Score:26.1%
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 3.2 3B Instruct
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DeepSeek-V3
Avg Score:42.0%(+15.9%)
Providers:1
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Llama 3.2 3B Instruct
Avg Score:26.1%
Providers:1