Comprehensive side-by-side LLM comparison
Gemma 3 4B leads with 12.6% higher average benchmark score. Gemma 3 4B offers 32.8K more tokens in context window than DeepSeek-V3.2-Exp. Gemma 3 4B is $0.62 cheaper per million tokens. Gemma 3 4B supports multimodal inputs. Overall, Gemma 3 4B 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 4B is a multimodal language model developed by Google. The model shows competitive results across 26 benchmarks. It excels particularly in IFEval (90.2%), GSM8k (89.2%), DocVQA (75.8%). 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 4B
2025-03-12
DeepSeek-V3.2-Exp
DeepSeek
2025-09-29
Cost per million tokens (USD)
DeepSeek-V3.2-Exp
Gemma 3 4B
Context window and performance specifications
Average performance across 36 common benchmarks
DeepSeek-V3.2-Exp
Gemma 3 4B
Gemma 3 4B
2024-08-01
Available providers and their performance metrics
DeepSeek-V3.2-Exp
Novita
ZeroEval
Gemma 3 4B
DeepSeek-V3.2-Exp
Gemma 3 4B
DeepSeek-V3.2-Exp
Gemma 3 4B
DeepInfra