Comprehensive side-by-side LLM comparison
Gemma 3 27B leads with 21.8% higher average benchmark score. Gemma 3 27B is $1.70 cheaper per million tokens. Gemma 3 27B supports multimodal inputs. Overall, Gemma 3 27B is the stronger choice for coding tasks.
Gemma 3 27B is a multimodal language model developed by Google. It achieves strong performance with an average score of 65.4% across 26 benchmarks. It excels particularly in GSM8k (95.9%), IFEval (90.4%), MATH (89.0%). It supports a 262K token context window for handling large documents. The model is available through 2 API providers. 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 27B
2025-03-12
GLM-4.5
Zhipu AI
2025-07-28
Cost per million tokens (USD)
Gemma 3 27B
GLM-4.5
Context window and performance specifications
Average performance across 37 common benchmarks
Gemma 3 27B
GLM-4.5
Available providers and their performance metrics
Gemma 3 27B
DeepInfra
Novita
GLM-4.5
Gemma 3 27B
GLM-4.5
Gemma 3 27B
GLM-4.5
DeepInfra
Novita
ZeroEval