Comprehensive side-by-side LLM comparison
DeepSeek VL2 leads with 2.6% higher average benchmark score. Llama 4 Maverick offers 1.7M more tokens in context window than DeepSeek VL2. Llama 4 Maverick is $4808.73 cheaper per million tokens. Llama 4 Maverick is available on 7 providers. Both models have their strengths depending on your specific coding needs.
DeepSeek
DeepSeek VL2 is a multimodal language model developed by DeepSeek. It achieves strong performance with an average score of 70.9% across 14 benchmarks. It excels particularly in DocVQA (93.3%), ChartQA (86.0%), TextVQA (84.2%). It supports a 259K token context window for handling large documents. The model is available through 1 API provider. 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.
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
DeepSeek
2024-12-13
Llama 4 Maverick
Meta
2025-04-05
Cost per million tokens (USD)
DeepSeek VL2
Llama 4 Maverick
Context window and performance specifications
Average performance across 23 common benchmarks
DeepSeek VL2
Llama 4 Maverick
Available providers and their performance metrics
DeepSeek VL2
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Llama 4 Maverick
DeepSeek VL2
Llama 4 Maverick
DeepSeek VL2
Llama 4 Maverick
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