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DeepSeek-V3.1 vs Llama 3.2 3B Instruct
Comprehensive side-by-side LLM comparison
DeepSeek-V3.1 leads with 3.4% higher average benchmark score. DeepSeek-V3.1 offers 71.7K more tokens in context window than Llama 3.2 3B Instruct. Llama 3.2 3B Instruct is $1.24 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek-V3.1 is a language model developed by DeepSeek. The model shows competitive results across 16 benchmarks. It excels particularly in SimpleQA (93.4%), MMLU-Redux (91.8%), MMLU-Pro (83.7%). It supports a 328K 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.
3 months newer
Llama 3.2 3B Instruct
Meta
2024-09-25
DeepSeek-V3.1
DeepSeek
2025-01-10
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 3.2 3B Instruct
Input:$0.01
Output:$0.02($1.24 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 30 common benchmarks
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DeepSeek-V3.1
Average Score:31.2%(+3.4%)
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Llama 3.2 3B Instruct
Average Score:27.8%
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 3.2 3B Instruct
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DeepSeek-V3.1
Avg Score:31.2%(+3.4%)
Providers:2
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Llama 3.2 3B Instruct
Avg Score:27.8%
Providers:1