Comprehensive side-by-side LLM comparison
Gemma 3 27B leads with 21.6% higher average benchmark score. Gemma 3 27B offers 32.8K more tokens in context window than DeepSeek-V3.2-Exp. Both models have similar pricing. Gemma 3 27B supports multimodal inputs. Overall, Gemma 3 27B 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 27B is a multimodal language model developed by Google. It achieves strong performance with an average score of 65.4% across 26 benchmarks. It excels particularly in GSM8k (95.9%), IFEval (90.4%), MATH (89.0%). It supports a 262K token context window for handling large documents. The model is available through 2 API providers. 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 27B
2025-03-12
DeepSeek-V3.2-Exp
DeepSeek
2025-09-29
Cost per million tokens (USD)
DeepSeek-V3.2-Exp
Gemma 3 27B
Context window and performance specifications
Average performance across 36 common benchmarks
DeepSeek-V3.2-Exp
Gemma 3 27B
Available providers and their performance metrics
DeepSeek-V3.2-Exp
Novita
ZeroEval
Gemma 3 27B
DeepSeek-V3.2-Exp
Gemma 3 27B
DeepSeek-V3.2-Exp
Gemma 3 27B
DeepInfra
Novita