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Gemini 1.0 Pro vs GLM-4.5V
Comprehensive side-by-side LLM comparison
GLM-4.5V offers 155.7K more tokens in context window than Gemini 1.0 Pro. Gemini 1.0 Pro is $0.80 cheaper per million tokens. GLM-4.5V supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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Gemini 1.0 Pro is a language model developed by Google. The model shows competitive results across 9 benchmarks. Notable strengths include BIG-Bench (75.0%), MMLU (71.8%), WMT23 (71.7%). The model is available through 1 API provider. Released in 2024, 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.
1 year newer
Gemini 1.0 Pro
2024-02-15
GLM-4.5V
Zhipu AI
2025-08-11
Pricing Comparison
Cost per million tokens (USD)
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Gemini 1.0 Pro
Input:$0.50
Output:$1.50($0.80 cheaper)
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GLM-4.5V
Input:$0.60
Output:$2.20
Performance Metrics
Context window and performance specifications
Average performance across 9 common benchmarks
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Gemini 1.0 Pro
Average Score:48.4%(+48.4%)
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GLM-4.5V
Average Score:0.0%
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Knowledge Cutoff
Training data recency comparison
Gemini 1.0 Pro
2024-02-01
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 1.0 Pro
1 providers
Throughput: 120 tok/s
Latency: 0.4ms
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GLM-4.5V
2 providers
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Gemini 1.0 Pro
Avg Score:48.4%(+48.4%)
Providers:1
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GLM-4.5V
Avg Score:0.0%
Providers:2