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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 47.1% 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. Overall, DeepSeek-V3.2-Exp is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-V3.2-Exp was introduced as an experimental release, designed to test new architectural innovations and training methodologies. Built to explore the boundaries of mixture-of-experts design, it serves as a research preview for techniques that may be incorporated into future stable releases.
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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.
1 year newer
Llama 3.2 3B Instruct
Meta
2024-09-25
DeepSeek-V3.2-Exp
DeepSeek
2025-09-29
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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 1 common benchmarks
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DeepSeek-V3.2-Exp
Average Score:79.9%(+47.1%)
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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-V3.2-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:79.9%(+47.1%)
Providers:2
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Llama 3.2 3B Instruct
Avg Score:32.8%
Providers:1