Comprehensive side-by-side LLM comparison
DeepSeek-V2.5 leads with 10.0% higher average benchmark score. Gemma 3n E4B Instructed offers 47.6K more tokens in context window than DeepSeek-V2.5. DeepSeek-V2.5 is $59.58 cheaper per million tokens. Gemma 3n E4B Instructed supports multimodal inputs. DeepSeek-V2.5 is available on 3 providers. Overall, DeepSeek-V2.5 is the stronger choice for coding tasks.
DeepSeek
DeepSeek-V2.5 is a language model developed by DeepSeek. It achieves strong performance with an average score of 71.1% across 15 benchmarks. It excels particularly in GSM8k (95.1%), MT-Bench (90.2%), HumanEval (89.0%). The model is available through 3 API providers. 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.
1 year newer
DeepSeek-V2.5
DeepSeek
2024-05-08
Gemma 3n E4B Instructed
2025-06-26
Cost per million tokens (USD)
DeepSeek-V2.5
Gemma 3n E4B Instructed
Context window and performance specifications
Average performance across 31 common benchmarks
DeepSeek-V2.5
Gemma 3n E4B Instructed
Gemma 3n E4B Instructed
2024-06-01
Available providers and their performance metrics
DeepSeek-V2.5
DeepInfra
DeepSeek
Hyperbolic
DeepSeek-V2.5
Gemma 3n E4B Instructed
DeepSeek-V2.5
Gemma 3n E4B Instructed
Gemma 3n E4B Instructed
Together