Comprehensive side-by-side LLM comparison
Gemma 3 27B leads with 39.8% higher average benchmark score. Gemma 3 27B offers 65.5K more tokens in context window than GLM-4.6. Gemma 3 27B is $2.30 cheaper per million tokens. 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-4.6 is a multimodal language model developed by Zhipu AI. It achieves strong performance with an average score of 61.2% across 7 benchmarks. It excels particularly in AIME 2025 (93.9%), LiveCodeBench v6 (82.8%), GPQA (81.0%). It supports a 197K 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 Zhipu AI's latest advancement in AI technology.
6 months newer
Gemma 3 27B
2025-03-12
GLM-4.6
Zhipu AI
2025-09-30
Cost per million tokens (USD)
Gemma 3 27B
GLM-4.6
Context window and performance specifications
Average performance across 32 common benchmarks
Gemma 3 27B
GLM-4.6
Available providers and their performance metrics
Gemma 3 27B
DeepInfra
Novita
GLM-4.6
Gemma 3 27B
GLM-4.6
Gemma 3 27B
GLM-4.6
DeepInfra
ZeroEval