Comprehensive side-by-side LLM comparison
GLM-4.5 leads with 20.9% higher average benchmark score. GLM-4.5 offers 221.2K more tokens in context window than Gemini 1.0 Pro. Both models have similar pricing. GLM-4.5 is available on 3 providers. Overall, GLM-4.5 is the stronger choice for coding tasks.
Gemini 1.0 Pro is a language model developed by Google. The model shows competitive results across 9 benchmarks. Notable strengths include BIG-Bench (75.0%), MMLU (71.8%), WMT23 (71.7%). The model is available through 1 API provider. Released in 2024, 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 year newer
Gemini 1.0 Pro
2024-02-15
GLM-4.5
Zhipu AI
2025-07-28
Cost per million tokens (USD)
Gemini 1.0 Pro
GLM-4.5
Context window and performance specifications
Average performance across 22 common benchmarks
Gemini 1.0 Pro
GLM-4.5
Gemini 1.0 Pro
2024-02-01
Available providers and their performance metrics
Gemini 1.0 Pro
GLM-4.5
Gemini 1.0 Pro
GLM-4.5
Gemini 1.0 Pro
GLM-4.5
DeepInfra
Novita
ZeroEval