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Gemini 2.0 Flash-Lite vs GLM-4.5-Air
Comprehensive side-by-side LLM comparison
GLM-4.5-Air leads with 3.4% higher average benchmark score. Gemini 2.0 Flash-Lite supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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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.
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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.
5 months newer
Gemini 2.0 Flash-Lite
2025-02-05
GLM-4.5-Air
Zhipu AI
2025-07-28
Performance Metrics
Context window and performance specifications
Average performance across 25 common benchmarks
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Gemini 2.0 Flash-Lite
Average Score:30.7%
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GLM-4.5-Air
Average Score:34.1%(+3.4%)
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Knowledge Cutoff
Training data recency comparison
Gemini 2.0 Flash-Lite
2024-06-01
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-Lite
1 providers
Throughput: 85 tok/s
Latency: 0.7ms
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GLM-4.5-Air
0 providers
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Gemini 2.0 Flash-Lite
Avg Score:30.7%
Providers:1
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GLM-4.5-Air
Avg Score:34.1%(+3.4%)
Providers:0