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DeepSeek-V3 0324 vs Llama 3.2 3B Instruct
Comprehensive side-by-side LLM comparison
Llama 3.2 3B Instruct leads with 25.4% higher average benchmark score. DeepSeek-V3 0324 offers 71.7K more tokens in context window than Llama 3.2 3B Instruct. Llama 3.2 3B Instruct is $1.39 cheaper per million tokens. Overall, Llama 3.2 3B Instruct is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-V3 0324 is a language model developed by DeepSeek. It achieves strong performance with an average score of 70.4% across 5 benchmarks. It excels particularly in MATH-500 (94.0%), MMLU-Pro (81.2%), GPQA (68.4%). It supports a 328K token context window for handling large documents. The model is available through 1 API provider. Released in 2025, 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.
6 months newer
Llama 3.2 3B Instruct
Meta
2024-09-25
DeepSeek-V3 0324
DeepSeek
2025-03-25
Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V3 0324
Input:$0.28
Output:$1.14
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Llama 3.2 3B Instruct
Input:$0.01
Output:$0.02($1.39 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 19 common benchmarks
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DeepSeek-V3 0324
Average Score:18.5%
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Llama 3.2 3B Instruct
Average Score:43.9%(+25.4%)
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-V3 0324
1 providers
Novita
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Llama 3.2 3B Instruct
1 providers
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DeepSeek-V3 0324
Avg Score:18.5%
Providers:1
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Llama 3.2 3B Instruct
Avg Score:43.9%(+25.4%)
Providers:1