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Gemini 2.0 Flash Thinking vs GLM-4.5
Comprehensive side-by-side LLM comparison
GLM-4.5 leads with 44.8% higher average benchmark score. Gemini 2.0 Flash Thinking supports multimodal inputs. GLM-4.5 is available on 3 providers. Overall, GLM-4.5 is the stronger choice for coding tasks.
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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.
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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.
6 months newer
Gemini 2.0 Flash Thinking
2025-01-21
GLM-4.5
Zhipu AI
2025-07-28
Performance Metrics
Context window and performance specifications
Average performance across 15 common benchmarks
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Gemini 2.0 Flash Thinking
Average Score:14.9%
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GLM-4.5
Average Score:59.7%(+44.8%)
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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
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Gemini 2.0 Flash Thinking
0 providers
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GLM-4.5
3 providers
DeepInfra
Novita
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Gemini 2.0 Flash Thinking
Avg Score:14.9%
Providers:0
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GLM-4.5
Avg Score:59.7%(+44.8%)
Providers:3