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DeepSeek-V3.2-Exp vs Llama 3.2 11B Instruct
Comprehensive side-by-side LLM comparison
DeepSeek-V3.2-Exp leads with 47.1% higher average benchmark score. Llama 3.2 11B Instruct offers 26.6K more tokens in context window than DeepSeek-V3.2-Exp. Llama 3.2 11B Instruct is $0.58 cheaper per million tokens. Llama 3.2 11B Instruct supports multimodal inputs. Llama 3.2 11B Instruct is available on 6 providers. 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 11B was introduced as a mid-sized variant in the Llama 3.2 family, designed to offer enhanced capabilities while maintaining efficiency. Built to provide a balanced option for applications requiring more than lightweight models but less than flagship sizes, it serves diverse use cases in the open-source community.
1 year newer
Llama 3.2 11B 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 11B Instruct
Input:$0.05
Output:$0.05($0.58 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 11B Instruct
Average Score:32.8%
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Knowledge Cutoff
Training data recency comparison
Llama 3.2 11B Instruct
2023-12-31
More recent knowledge cutoff means awareness of newer technologies and frameworks
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 11B Instruct
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DeepSeek-V3.2-Exp
Avg Score:79.9%(+47.1%)
Providers:2
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Llama 3.2 11B Instruct
Avg Score:32.8%
Providers:6