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DeepSeek VL2 Small vs Llama 4 Maverick
Comprehensive side-by-side LLM comparison
DeepSeek VL2 Small leads with 1.8% higher average benchmark score. Llama 4 Maverick is available on 7 providers. Both models have their strengths depending on your specific coding needs.
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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 4 Maverick is a multimodal language model developed by Meta. It achieves strong performance with an average score of 71.8% across 13 benchmarks. It excels particularly in DocVQA (94.4%), MGSM (92.3%), ChartQA (90.0%). With a 2.0M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 7 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Meta's latest advancement in AI technology.
3 months newer
DeepSeek VL2 Small
DeepSeek
2024-12-13
Llama 4 Maverick
Meta
2025-04-05
Performance Metrics
Context window and performance specifications
Average performance across 23 common benchmarks
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DeepSeek VL2 Small
Average Score:42.4%(+1.8%)
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Llama 4 Maverick
Average Score:40.6%
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek VL2 Small
0 providers
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Llama 4 Maverick
7 providers
DeepInfra
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DeepSeek VL2 Small
Avg Score:42.4%(+1.8%)
Providers:0
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Llama 4 Maverick
Avg Score:40.6%
Providers:7