Comprehensive side-by-side LLM comparison
Gemma 3 4B leads with 13.0% higher average benchmark score. Gemma 3 4B is $1.94 cheaper per million tokens. Gemma 3 4B supports multimodal inputs. GLM-4.5 is available on 3 providers. Overall, Gemma 3 4B is the stronger choice for coding tasks.
Gemma 3 4B is a multimodal language model developed by Google. The model shows competitive results across 26 benchmarks. It excels particularly in IFEval (90.2%), GSM8k (89.2%), DocVQA (75.8%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. 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.
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.
4 months newer
Gemma 3 4B
2025-03-12
GLM-4.5
Zhipu AI
2025-07-28
Cost per million tokens (USD)
Gemma 3 4B
GLM-4.5
Context window and performance specifications
Average performance across 37 common benchmarks
Gemma 3 4B
GLM-4.5
Gemma 3 4B
2024-08-01
Available providers and their performance metrics
Gemma 3 4B
DeepInfra
GLM-4.5
Gemma 3 4B
GLM-4.5
Gemma 3 4B
GLM-4.5
DeepInfra
Novita
ZeroEval