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DeepSeek VL2 vs Llama 3.2 11B Instruct
Comprehensive side-by-side LLM comparison
DeepSeek VL2 leads with 1.9% higher average benchmark score. DeepSeek VL2 offers 2.6K more tokens in context window than Llama 3.2 11B Instruct. Llama 3.2 11B Instruct is $4809.40 cheaper per million tokens. Llama 3.2 11B Instruct is available on 6 providers. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek-VL2 was developed as a vision-language model, designed to handle both visual and textual inputs for multimodal understanding tasks. Built to extend DeepSeek's capabilities beyond text-only processing, it enables applications requiring integrated analysis of images and language.
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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.
2 months newer
Llama 3.2 11B Instruct
Meta
2024-09-25
DeepSeek VL2
DeepSeek
2024-12-13
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Pricing Comparison
Cost per million tokens (USD)
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DeepSeek VL2
Input:$9.50
Output:$4800.00
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Llama 3.2 11B Instruct
Input:$0.05
Output:$0.05($4809.40 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 5 common benchmarks
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DeepSeek VL2
Average Score:74.9%(+1.9%)
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Llama 3.2 11B Instruct
Average Score:73.0%
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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 VL2
1 providers
Replicate
Throughput: 22 tok/s
Latency: 0.5ms
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Llama 3.2 11B Instruct
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DeepSeek VL2
Avg Score:74.9%(+1.9%)
Providers:1
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Llama 3.2 11B Instruct
Avg Score:73.0%
Providers:6