Comprehensive side-by-side LLM comparison
GLM-4.5 leads with 5.2% higher average benchmark score. Gemini 2.0 Flash-Lite offers 794.6K more tokens in context window than GLM-4.5. Gemini 2.0 Flash-Lite is $1.63 cheaper per million tokens. Gemini 2.0 Flash-Lite supports multimodal inputs. GLM-4.5 is available on 3 providers. Overall, GLM-4.5 is the stronger choice for coding tasks.
Gemini 2.0 Flash-Lite is a multimodal language model developed by Google. The model shows competitive results across 13 benchmarks. It excels particularly in MATH (86.8%), FACTS Grounding (83.6%), Global-MMLU-Lite (78.2%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. 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.
5 months newer
Gemini 2.0 Flash-Lite
2025-02-05
GLM-4.5
Zhipu AI
2025-07-28
Cost per million tokens (USD)
Gemini 2.0 Flash-Lite
GLM-4.5
Context window and performance specifications
Average performance across 25 common benchmarks
Gemini 2.0 Flash-Lite
GLM-4.5
Gemini 2.0 Flash-Lite
2024-06-01
Available providers and their performance metrics
Gemini 2.0 Flash-Lite
GLM-4.5
Gemini 2.0 Flash-Lite
GLM-4.5
Gemini 2.0 Flash-Lite
GLM-4.5
DeepInfra
Novita
ZeroEval