Comprehensive side-by-side LLM comparison
Gemini 2.5 Flash leads with 24.8% higher average benchmark score. Gemini 2.5 Flash offers 917.5K more tokens in context window than GLM-4.6. Both models have similar pricing. Overall, Gemini 2.5 Flash is the stronger choice for coding tasks.
Gemini 2.5 Flash is a multimodal language model developed by Google. It achieves strong performance with an average score of 62.5% across 14 benchmarks. It excels particularly in Global-MMLU-Lite (88.4%), AIME 2024 (88.0%), FACTS Grounding (85.3%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 2 API providers. 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.
4 months newer
Gemini 2.5 Flash
2025-05-20
GLM-4.6
Zhipu AI
2025-09-30
Cost per million tokens (USD)
Gemini 2.5 Flash
GLM-4.6
Context window and performance specifications
Average performance across 18 common benchmarks
Gemini 2.5 Flash
GLM-4.6
Gemini 2.5 Flash
2025-01-31
Available providers and their performance metrics
Gemini 2.5 Flash
ZeroEval
GLM-4.6
Gemini 2.5 Flash
GLM-4.6
Gemini 2.5 Flash
GLM-4.6
DeepInfra
ZeroEval