Comprehensive side-by-side LLM comparison
DeepSeek-V3 leads with 17.3% higher average benchmark score. DeepSeek-V3 offers 198.1K more tokens in context window than Gemma 3n E4B Instructed. DeepSeek-V3 is $58.63 cheaper per million tokens. Gemma 3n E4B Instructed supports multimodal inputs. Overall, DeepSeek-V3 is the stronger choice for coding tasks.
DeepSeek
DeepSeek-V3 is a language model developed by DeepSeek. It achieves strong performance with an average score of 67.2% across 20 benchmarks. It excels particularly in DROP (91.6%), CLUEWSC (90.9%), MATH-500 (90.2%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, 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.
6 months newer
DeepSeek-V3
DeepSeek
2024-12-25
Gemma 3n E4B Instructed
2025-06-26
Cost per million tokens (USD)
DeepSeek-V3
Gemma 3n E4B Instructed
Context window and performance specifications
Average performance across 34 common benchmarks
DeepSeek-V3
Gemma 3n E4B Instructed
Gemma 3n E4B Instructed
2024-06-01
Available providers and their performance metrics
DeepSeek-V3
DeepSeek
Gemma 3n E4B Instructed
DeepSeek-V3
Gemma 3n E4B Instructed
DeepSeek-V3
Gemma 3n E4B Instructed
Together