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DeepSeek VL2 Small vs Llama 3.3 70B Instruct
Comprehensive side-by-side LLM comparison
DeepSeek VL2 Small leads with 11.1% higher average benchmark score. DeepSeek VL2 Small supports multimodal inputs. Llama 3.3 70B Instruct is available on 9 providers. Overall, DeepSeek VL2 Small is the stronger choice for coding tasks.
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DeepSeek
DeepSeek VL2 Small is a multimodal language model developed by DeepSeek. It achieves strong performance with an average score of 69.6% across 14 benchmarks. It excels particularly in DocVQA (92.3%), ChartQA (84.5%), OCRBench (83.4%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents DeepSeek's latest advancement in AI technology.
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Meta
Llama 3.3 70B Instruct is a language model developed by Meta. It achieves strong performance with an average score of 79.9% across 9 benchmarks. It excels particularly in IFEval (92.1%), MGSM (91.1%), HumanEval (88.4%). It supports a 256K token context window for handling large documents. The model is available through 9 API providers. Released in 2024, it represents Meta's latest advancement in AI technology.
7 days newer
Llama 3.3 70B Instruct
Meta
2024-12-06
DeepSeek VL2 Small
DeepSeek
2024-12-13
Performance Metrics
Context window and performance specifications
Average performance across 23 common benchmarks
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DeepSeek VL2 Small
Average Score:42.4%(+11.1%)
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Llama 3.3 70B Instruct
Average Score:31.3%
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek VL2 Small
0 providers
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Llama 3.3 70B Instruct
9 providers
Bedrock
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DeepSeek VL2 Small
Avg Score:42.4%(+11.1%)
Providers:0
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Llama 3.3 70B Instruct
Avg Score:31.3%
Providers:9