Comprehensive side-by-side LLM comparison
Gemini 2.5 Flash-Lite leads with 6.0% higher average benchmark score. Gemini 2.5 Flash-Lite offers 917.5K more tokens in context window than GLM-4.6. Gemini 2.5 Flash-Lite is $2.10 cheaper per million tokens. Overall, Gemini 2.5 Flash-Lite is the stronger choice for coding tasks.
Gemini 2.5 Flash-Lite is a multimodal language model developed by Google. The model shows competitive results across 13 benchmarks. It excels particularly in FACTS Grounding (84.1%), Global-MMLU-Lite (81.1%), MMMU (72.9%). 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-4.6 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.
3 months newer
Gemini 2.5 Flash-Lite
2025-06-17
GLM-4.6
Zhipu AI
2025-09-30
Cost per million tokens (USD)
Gemini 2.5 Flash-Lite
GLM-4.6
Context window and performance specifications
Average performance across 17 common benchmarks
Gemini 2.5 Flash-Lite
GLM-4.6
Gemini 2.5 Flash-Lite
2025-01-01
Available providers and their performance metrics
Gemini 2.5 Flash-Lite
GLM-4.6
Gemini 2.5 Flash-Lite
GLM-4.6
Gemini 2.5 Flash-Lite
GLM-4.6
DeepInfra
ZeroEval