Comprehensive side-by-side LLM comparison
DeepSeek-V3.1 leads with 5.9% higher average benchmark score. DeepSeek-V3.1 offers 263.7K more tokens in context window than Gemma 3n E4B Instructed. DeepSeek-V3.1 is $58.73 cheaper per million tokens. Gemma 3n E4B Instructed supports multimodal inputs. Overall, DeepSeek-V3.1 is the stronger choice for coding tasks.
DeepSeek
DeepSeek-V3.1 is a language model developed by DeepSeek. The model shows competitive results across 16 benchmarks. It excels particularly in SimpleQA (93.4%), MMLU-Redux (91.8%), MMLU-Pro (83.7%). It supports a 328K 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 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.
5 months newer
DeepSeek-V3.1
DeepSeek
2025-01-10
Gemma 3n E4B Instructed
2025-06-26
Cost per million tokens (USD)
DeepSeek-V3.1
Gemma 3n E4B Instructed
Context window and performance specifications
Average performance across 30 common benchmarks
DeepSeek-V3.1
Gemma 3n E4B Instructed
Gemma 3n E4B Instructed
2024-06-01
Available providers and their performance metrics
DeepSeek-V3.1
DeepInfra
Novita
Gemma 3n E4B Instructed
DeepSeek-V3.1
Gemma 3n E4B Instructed
DeepSeek-V3.1
Gemma 3n E4B Instructed
Together