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Model Comparison

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

Google

Gemini 2.0 Flash Thinking

Google

Gemini 2.0 Flash Thinking is a multimodal language model developed by Google. It achieves strong performance with an average score of 74.3% across 3 benchmarks. Notable strengths include MMMU (75.4%), GPQA (74.2%), AIME 2024 (73.3%). 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-Air

Zhipu AI

GLM-4.5-Air is a language model developed by Zhipu AI. It achieves strong performance with an average score of 60.8% across 14 benchmarks. It excels particularly in MATH-500 (98.1%), AIME 2024 (89.4%), MMLU-Pro (81.4%). 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.

Google

Gemini 2.0 Flash Thinking

Google

2025-01-21

GLM-4.5-Air

Zhipu AI

2025-07-28

6 months newer

Average performance across 2 common benchmarks

Google

Gemini 2.0 Flash Thinking

Average Score:73.8%

GLM-4.5-Air

+8.5%
Average Score:82.2%

Performance comparison across key benchmark categories

Google

Gemini 2.0 Flash Thinking

general
73.8%

GLM-4.5-Air

general
+2.2%
76.0%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Gemini 2.0 Flash Thinking

2024-08-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Google

Gemini 2.0 Flash Thinking

0 providers

GLM-4.5-Air

0 providers
Google

Gemini 2.0 Flash Thinking

Avg Score:73.8%
Providers:0

GLM-4.5-Air

+8.5%
Avg Score:82.2%
Providers:0