Comprehensive side-by-side LLM comparison
Qwen2.5 7B Instruct leads with 6.0% higher average benchmark score. Qwen2.5 7B Instruct offers 75.3K more tokens in context window than Gemma 3n E4B Instructed. Qwen2.5 7B Instruct is $59.40 cheaper per million tokens. Gemma 3n E4B Instructed supports multimodal inputs. Overall, Qwen2.5 7B Instruct is the stronger choice for coding tasks.
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.
Alibaba Cloud / Qwen Team
Qwen2.5 7B Instruct is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 65.6% across 14 benchmarks. It excels particularly in GSM8k (91.6%), MT-Bench (87.5%), HumanEval (84.8%). It supports a 139K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
9 months newer
Qwen2.5 7B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
Gemma 3n E4B Instructed
2025-06-26
Cost per million tokens (USD)
Gemma 3n E4B Instructed
Qwen2.5 7B Instruct
Context window and performance specifications
Average performance across 27 common benchmarks
Gemma 3n E4B Instructed
Qwen2.5 7B Instruct
Gemma 3n E4B Instructed
2024-06-01
Available providers and their performance metrics
Gemma 3n E4B Instructed
Together
Qwen2.5 7B Instruct
Gemma 3n E4B Instructed
Qwen2.5 7B Instruct
Gemma 3n E4B Instructed
Qwen2.5 7B Instruct
Together