Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance

Gemini 2.0 Flash-Lite
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.
GLM-4.5
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 1 API provider. 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.

Gemini 2.0 Flash-Lite
2025-02-05
GLM-4.5
Zhipu AI
2025-07-28
5 months newer
Pricing Comparison
Cost per million tokens (USD)

Gemini 2.0 Flash-Lite
GLM-4.5
Performance Metrics
Context window and performance specifications

Gemini 2.0 Flash-Lite
GLM-4.5
Average performance across 2 common benchmarks

Gemini 2.0 Flash-Lite
GLM-4.5
Performance comparison across key benchmark categories

Gemini 2.0 Flash-Lite
GLM-4.5
Gemini 2.0 Flash-Lite
2024-06-01
Provider Availability & Performance
Available providers and their performance metrics

Gemini 2.0 Flash-Lite
GLM-4.5
DeepInfra

Gemini 2.0 Flash-Lite
GLM-4.5