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GLM-4.5V vs Grok-3
Comprehensive side-by-side LLM comparison
GLM-4.5V offers 60.6K more tokens in context window than Grok-3. GLM-4.5V is $15.20 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
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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.
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xAI
Grok-3 is a multimodal language model developed by xAI. This model demonstrates exceptional performance with an average score of 85.7% across 5 benchmarks. It excels particularly in AIME 2025 (93.3%), AIME 2024 (93.3%), GPQA (84.6%). It supports a 136K token context window for handling large documents. 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 xAI's latest advancement in AI technology.
5 months newer
Grok-3
xAI
2025-02-17
GLM-4.5V
Zhipu AI
2025-08-11
Pricing Comparison
Cost per million tokens (USD)
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GLM-4.5V
Input:$0.60
Output:$2.20($15.20 cheaper)
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Grok-3
Input:$3.00
Output:$15.00
Performance Metrics
Context window and performance specifications
Average performance across 5 common benchmarks
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GLM-4.5V
Average Score:0.0%
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Grok-3
Average Score:85.7%(+85.7%)
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Knowledge Cutoff
Training data recency comparison
Grok-3
2024-11-17
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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GLM-4.5V
2 providers
Novita
ZeroEval
Throughput: 85 tok/s
Latency: 0.7ms
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Grok-3
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GLM-4.5V
Avg Score:0.0%
Providers:2
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Grok-3
Avg Score:85.7%(+85.7%)
Providers:1