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DeepSeek VL2 Small vs Llama 3.2 90B Instruct
Comprehensive side-by-side LLM comparison
Llama 3.2 90B Instruct leads with 1.7% higher average benchmark score. Llama 3.2 90B Instruct is available on 5 providers. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek-VL2-Small was created as a compact vision-language variant, designed to bring multimodal capabilities to applications with limited computational resources. Built to provide visual and textual understanding in a more efficient package, it serves use cases requiring practical deployment of vision-language AI.
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Meta
Llama 3.2 90B was developed as a flagship-tier open-source model, designed to provide advanced capabilities with 90 billion parameters. Built to serve applications requiring high-quality reasoning and generation, it represents a powerful option within the Llama 3.2 series for demanding tasks.
2 months newer
Llama 3.2 90B Instruct
Meta
2024-09-25
DeepSeek VL2 Small
DeepSeek
2024-12-13
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Performance Metrics
Context window and performance specifications
Average performance across 6 common benchmarks
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DeepSeek VL2 Small
Average Score:74.8%
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Llama 3.2 90B Instruct
Average Score:76.5%(+1.7%)
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek VL2 Small
0 providers
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Llama 3.2 90B Instruct
5 providers
Bedrock
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DeepSeek VL2 Small
Avg Score:74.8%
Providers:0
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Llama 3.2 90B Instruct
Avg Score:76.5%(+1.7%)
Providers:5