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Gemma 3 27B vs GLM-4.5-Air
Comprehensive side-by-side LLM comparison
Gemma 3 27B leads with 23.0% higher average benchmark score. Gemma 3 27B supports multimodal inputs. Gemma 3 27B is available on 2 providers. Overall, Gemma 3 27B is the stronger choice for coding tasks.
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Gemma 3 27B is a multimodal language model developed by Google. It achieves strong performance with an average score of 65.4% across 26 benchmarks. It excels particularly in GSM8k (95.9%), IFEval (90.4%), MATH (89.0%). It supports a 262K token context window for handling large documents. The model is available through 2 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. 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.
4 months newer
Gemma 3 27B
2025-03-12
GLM-4.5-Air
Zhipu AI
2025-07-28
Performance Metrics
Context window and performance specifications
Average performance across 37 common benchmarks
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Gemma 3 27B
Average Score:46.0%(+23.0%)
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GLM-4.5-Air
Average Score:23.0%
Provider Availability & Performance
Available providers and their performance metrics
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Gemma 3 27B
2 providers
DeepInfra
Throughput: 33 tok/s
Latency: 0.2ms
Novita
Throughput: 33 tok/s
Latency: 0.2ms
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GLM-4.5-Air
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Gemma 3 27B
Avg Score:46.0%(+23.0%)
Providers:2
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GLM-4.5-Air
Avg Score:23.0%
Providers:0