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GLM-4.5V vs Qwen3 32B
Comprehensive side-by-side LLM comparison
Qwen3 32B offers 59.4K more tokens in context window than GLM-4.5V. Qwen3 32B is $2.40 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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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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Alibaba Cloud / Qwen Team
Qwen3 32B is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 72.0% across 9 benchmarks. It excels particularly in Arena Hard (93.8%), AIME 2024 (81.4%), LiveBench (74.9%). It supports a 256K token context window for handling large documents. The model is available through 3 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
3 months newer
Qwen3 32B
Alibaba Cloud / Qwen Team
2025-04-29
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
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Qwen3 32B
Input:$0.10
Output:$0.30($2.40 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 9 common benchmarks
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GLM-4.5V
Average Score:0.0%
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Qwen3 32B
Average Score:72.0%(+72.0%)
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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Qwen3 32B
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GLM-4.5V
Avg Score:0.0%
Providers:2
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Qwen3 32B
Avg Score:72.0%(+72.0%)
Providers:3