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DeepSeek-V3.2-Exp vs Llama 3.2 3B Instruct
Comprehensive side-by-side LLM comparison
DeepSeek-V3.2-Exp leads with 3.3% higher average benchmark score. Llama 3.2 3B Instruct offers 26.6K more tokens in context window than DeepSeek-V3.2-Exp. Llama 3.2 3B Instruct is $0.65 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek-V3.2-Exp is a language model developed by DeepSeek. It achieves strong performance with an average score of 66.1% across 14 benchmarks. It excels particularly in SimpleQA (97.1%), AIME 2025 (89.3%), MMLU-Pro (85.0%). It supports a 229K token context window for handling large documents. The model is available through 2 API providers. It's licensed for commercial use, making it suitable for enterprise applications. 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.
1 year newer
Llama 3.2 3B Instruct
Meta
2024-09-25
DeepSeek-V3.2-Exp
DeepSeek
2025-09-29
Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V3.2-Exp
Input:$0.27
Output:$0.41
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Llama 3.2 3B Instruct
Input:$0.01
Output:$0.02($0.65 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 28 common benchmarks
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DeepSeek-V3.2-Exp
Average Score:33.1%(+3.3%)
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Llama 3.2 3B Instruct
Average Score:29.8%
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-V3.2-Exp
2 providers
Novita
ZeroEval
Throughput: 100 tok/s
Latency: 0.7ms
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Llama 3.2 3B Instruct
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DeepSeek-V3.2-Exp
Avg Score:33.1%(+3.3%)
Providers:2
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Llama 3.2 3B Instruct
Avg Score:29.8%
Providers:1