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DeepSeek-V3.1 vs Llama 3.2 11B 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 11B Instruct. Llama 3.2 11B Instruct is $1.17 cheaper per million tokens. Llama 3.2 11B Instruct supports multimodal inputs. Llama 3.2 11B Instruct is available on 6 providers. Overall, DeepSeek-V3.1 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 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.
3 months newer
Llama 3.2 11B 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 11B Instruct
Input:$0.05
Output:$0.05($1.17 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 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-V3.1
2 providers
DeepInfra
Novita
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Llama 3.2 11B Instruct
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DeepSeek-V3.1
Avg Score:74.9%(+42.1%)
Providers:2
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Llama 3.2 11B Instruct
Avg Score:32.8%
Providers:6