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GLM-4.5V vs Qwen2.5 7B Instruct
Comprehensive side-by-side LLM comparison
GLM-4.5V offers 57.3K more tokens in context window than Qwen2.5 7B Instruct. Qwen2.5 7B Instruct is $2.20 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
Qwen2.5 7B Instruct is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 65.6% across 14 benchmarks. It excels particularly in GSM8k (91.6%), MT-Bench (87.5%), HumanEval (84.8%). It supports a 139K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
10 months newer
Qwen2.5 7B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
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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Qwen2.5 7B Instruct
Input:$0.30
Output:$0.30($2.20 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 14 common benchmarks
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GLM-4.5V
Average Score:0.0%
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Qwen2.5 7B Instruct
Average Score:65.6%(+65.6%)
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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Qwen2.5 7B Instruct
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GLM-4.5V
Avg Score:0.0%
Providers:2
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Qwen2.5 7B Instruct
Avg Score:65.6%(+65.6%)
Providers:1