Comprehensive side-by-side LLM comparison
Gemma 3n E2B Instructed LiteRT (Preview) leads with 3.9% higher average benchmark score. Gemma 3n E2B Instructed LiteRT (Preview) supports multimodal inputs. Qwen2.5 72B Instruct is available on 4 providers. Both models have their strengths depending on your specific coding needs.
Gemma 3n E2B Instructed LiteRT (Preview) is a multimodal language model developed by Google. The model shows competitive results across 28 benchmarks. Notable strengths include PIQA (78.9%), BoolQ (76.4%), ARC-E (75.8%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Google's latest advancement in AI technology.
Alibaba Cloud / Qwen Team
Qwen2.5 72B Instruct is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 77.4% across 14 benchmarks. It excels particularly in GSM8k (95.8%), MT-Bench (93.5%), MBPP (88.2%). It supports a 139K token context window for handling large documents. The model is available through 4 API providers. 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.
8 months newer
Qwen2.5 72B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
Gemma 3n E2B Instructed LiteRT (Preview)
2025-05-20
Context window and performance specifications
Average performance across 37 common benchmarks
Gemma 3n E2B Instructed LiteRT (Preview)
Qwen2.5 72B Instruct
Gemma 3n E2B Instructed LiteRT (Preview)
2024-06-01
Available providers and their performance metrics
Gemma 3n E2B Instructed LiteRT (Preview)
Qwen2.5 72B Instruct
DeepInfra
Gemma 3n E2B Instructed LiteRT (Preview)
Qwen2.5 72B Instruct
Gemma 3n E2B Instructed LiteRT (Preview)
Qwen2.5 72B Instruct
Fireworks
Hyperbolic
Together