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DeepSeek-V3.1 vs Llama 3.2 3B Instruct
Comprehensive side-by-side LLM comparison
DeepSeek-V3.1 leads with 42.1% 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. Overall, DeepSeek-V3.1 is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-V3.1 was developed as an incremental advancement over DeepSeek-V3, designed to refine the mixture-of-experts architecture with improved training techniques. Built to enhance quality and efficiency while maintaining the open-source philosophy, it represents continued iteration on DeepSeek's flagship model line.
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Meta
Llama 3.2 3B was created as an ultra-compact open-source model, designed to enable on-device and edge deployment scenarios. Built with just 3 billion parameters while retaining instruction-following abilities, it brings Meta's language technology to mobile devices, IoT applications, and resource-constrained environments.
3 months newer
Llama 3.2 3B Instruct
Meta
2024-09-25
DeepSeek-V3.1
DeepSeek
2025-01-10
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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 1 common benchmarks
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DeepSeek-V3.1
Average Score:74.9%(+42.1%)
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Llama 3.2 3B Instruct
Average Score:32.8%
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:74.9%(+42.1%)
Providers:2
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Llama 3.2 3B Instruct
Avg Score:32.8%
Providers:1