Comprehensive side-by-side LLM comparison
DeepSeek-R1 offers 198.1K more tokens in context window than Gemma 3n E4B Instructed. DeepSeek-R1 is $57.26 cheaper per million tokens. Gemma 3n E4B Instructed supports multimodal inputs. DeepSeek-R1 is available on 5 providers. Both models have their strengths depending on your specific coding needs.
DeepSeek
DeepSeek-R1 is a language model developed by DeepSeek. It supports a 262K token context window for handling large documents. The model is available through 5 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-R1
DeepSeek
2025-01-20
Gemma 3n E4B Instructed
2025-06-26
Cost per million tokens (USD)
DeepSeek-R1
Gemma 3n E4B Instructed
Context window and performance specifications
Average performance across 18 common benchmarks
DeepSeek-R1
Gemma 3n E4B Instructed
Gemma 3n E4B Instructed
2024-06-01
Available providers and their performance metrics
DeepSeek-R1
DeepInfra
DeepSeek
Fireworks
Together
ZeroEval
DeepSeek-R1
Gemma 3n E4B Instructed
DeepSeek-R1
Gemma 3n E4B Instructed
Gemma 3n E4B Instructed
Together