Comprehensive side-by-side LLM comparison
DeepSeek VL2 leads with 7.4% higher average benchmark score. DeepSeek VL2 offers 194.6K more tokens in context window than Gemma 3n E4B Instructed. Gemma 3n E4B Instructed is $4749.50 cheaper per million tokens. Overall, DeepSeek VL2 is the stronger choice for coding tasks.
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.
Gemma 3n E4B Instructed is a multimodal language model developed by Google. The model shows competitive results across 18 benchmarks. Notable strengths include HumanEval (75.0%), MGSM (67.0%), MMLU (64.9%). 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 2025, it represents Google's latest advancement in AI technology.
6 months newer
DeepSeek VL2
DeepSeek
2024-12-13
Gemma 3n E4B Instructed
2025-06-26
Cost per million tokens (USD)
DeepSeek VL2
Gemma 3n E4B Instructed
Context window and performance specifications
Average performance across 32 common benchmarks
DeepSeek VL2
Gemma 3n E4B Instructed
Gemma 3n E4B Instructed
2024-06-01
Available providers and their performance metrics
DeepSeek VL2
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Gemma 3n E4B Instructed
DeepSeek VL2
Gemma 3n E4B Instructed
DeepSeek VL2
Gemma 3n E4B Instructed
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