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Gemma 3 27B vs GLM-4.5V
Comprehensive side-by-side LLM comparison
Gemma 3 27B offers 65.5K more tokens in context window than GLM-4.5V. Gemma 3 27B is $2.50 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
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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-4.5V is a multimodal language model developed by Zhipu AI. It supports a 197K 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 Zhipu AI's latest advancement in AI technology.
5 months newer
Gemma 3 27B
2025-03-12
GLM-4.5V
Zhipu AI
2025-08-11
Pricing Comparison
Cost per million tokens (USD)
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Gemma 3 27B
Input:$0.10
Output:$0.20($2.50 cheaper)
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GLM-4.5V
Input:$0.60
Output:$2.20
Performance Metrics
Context window and performance specifications
Average performance across 26 common benchmarks
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Gemma 3 27B
Average Score:65.4%(+65.4%)
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GLM-4.5V
Average Score:0.0%
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-4.5V
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Gemma 3 27B
Avg Score:65.4%(+65.4%)
Providers:2
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GLM-4.5V
Avg Score:0.0%
Providers:2