Comprehensive side-by-side LLM comparison
GLM-4.5 leads with 4.8% higher average benchmark score. GLM-4.5 offers 198.1K more tokens in context window than Gemma 3n E4B Instructed. GLM-4.5 is $58.00 cheaper per million tokens. Gemma 3n E4B Instructed supports multimodal inputs. GLM-4.5 is available on 3 providers. Both models have their strengths depending on your specific coding needs.
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.
Zhipu AI
GLM-4.5 is a language model developed by Zhipu AI. It achieves strong performance with an average score of 64.0% across 14 benchmarks. It excels particularly in MATH-500 (98.2%), AIME 2024 (91.0%), MMLU-Pro (84.6%). It supports a 262K token context window for handling large documents. The model is available through 3 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Zhipu AI's latest advancement in AI technology.
1 month newer
Gemma 3n E4B Instructed
2025-06-26
GLM-4.5
Zhipu AI
2025-07-28
Cost per million tokens (USD)
Gemma 3n E4B Instructed
GLM-4.5
Context window and performance specifications
Average performance across 29 common benchmarks
Gemma 3n E4B Instructed
GLM-4.5
Gemma 3n E4B Instructed
2024-06-01
Available providers and their performance metrics
Gemma 3n E4B Instructed
Together
GLM-4.5
Gemma 3n E4B Instructed
GLM-4.5
Gemma 3n E4B Instructed
GLM-4.5
DeepInfra
Novita
ZeroEval