Comprehensive side-by-side LLM comparison
Gemma 3 12B leads with 19.4% higher average benchmark score. Gemma 3 12B offers 32.8K more tokens in context window than DeepSeek-V3.2-Exp. Gemma 3 12B is $0.53 cheaper per million tokens. Gemma 3 12B supports multimodal inputs. Overall, Gemma 3 12B is the stronger choice for coding tasks.
DeepSeek
DeepSeek-V3.2-Exp is a language model developed by DeepSeek. It achieves strong performance with an average score of 66.1% across 14 benchmarks. It excels particularly in SimpleQA (97.1%), AIME 2025 (89.3%), MMLU-Pro (85.0%). It supports a 229K token context window for handling large documents. The model is available through 2 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, 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.
6 months newer
Gemma 3 12B
2025-03-12
DeepSeek-V3.2-Exp
DeepSeek
2025-09-29
Cost per million tokens (USD)
DeepSeek-V3.2-Exp
Gemma 3 12B
Context window and performance specifications
Average performance across 36 common benchmarks
DeepSeek-V3.2-Exp
Gemma 3 12B
Available providers and their performance metrics
DeepSeek-V3.2-Exp
Novita
ZeroEval
Gemma 3 12B
DeepSeek-V3.2-Exp
Gemma 3 12B
DeepSeek-V3.2-Exp
Gemma 3 12B
DeepInfra