Comprehensive side-by-side LLM comparison
Gemma 3 12B leads with 18.0% higher average benchmark score. Gemma 3 12B offers 3.6K more tokens in context window than DeepSeek VL2. Gemma 3 12B is $4809.35 cheaper per million tokens. Overall, Gemma 3 12B 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 3 12B is a multimodal language model developed by Google. It achieves strong performance with an average score of 62.5% across 26 benchmarks. It excels particularly in GSM8k (94.4%), IFEval (88.9%), DocVQA (87.1%). It supports a 262K 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. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Google's latest advancement in AI technology.
2 months newer
DeepSeek VL2
DeepSeek
2024-12-13
Gemma 3 12B
2025-03-12
Cost per million tokens (USD)
DeepSeek VL2
Gemma 3 12B
Context window and performance specifications
Average performance across 35 common benchmarks
DeepSeek VL2
Gemma 3 12B
Available providers and their performance metrics
DeepSeek VL2
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Gemma 3 12B
DeepSeek VL2
Gemma 3 12B
DeepSeek VL2
Gemma 3 12B
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