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Gemini 2.0 Flash vs GLM-4.5-Air
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. Gemini 2.0 Flash supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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Gemini 2.0 Flash is a multimodal language model developed by Google. It achieves strong performance with an average score of 66.7% across 13 benchmarks. It excels particularly in Natural2Code (92.9%), MATH (89.7%), FACTS Grounding (83.6%). 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 2024, 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.
7 months newer
Gemini 2.0 Flash
2024-12-01
GLM-4.5-Air
Zhipu AI
2025-07-28
Performance Metrics
Context window and performance specifications
Average performance across 24 common benchmarks
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Gemini 2.0 Flash
Average Score:36.1%(+0.6%)
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GLM-4.5-Air
Average Score:35.5%
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Knowledge Cutoff
Training data recency comparison
Gemini 2.0 Flash
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
1 providers
Throughput: 183 tok/s
Latency: 0.4ms
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GLM-4.5-Air
0 providers
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Gemini 2.0 Flash
Avg Score:36.1%(+0.6%)
Providers:1
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GLM-4.5-Air
Avg Score:35.5%
Providers:0