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GLM-4.5 vs Qwen2.5-Omni-7B
Comprehensive side-by-side LLM comparison
Qwen2.5-Omni-7B leads with 31.0% higher average benchmark score. Qwen2.5-Omni-7B supports multimodal inputs. GLM-4.5 is available on 3 providers. Overall, Qwen2.5-Omni-7B is the stronger choice for coding tasks.
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Zhipu AI
GLM-4.5 is a language model developed by Zhipu AI. It achieves strong performance with an average score of 64.0% across 14 benchmarks. It excels particularly in MATH-500 (98.2%), AIME 2024 (91.0%), MMLU-Pro (84.6%). It supports a 262K 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 Zhipu AI's latest advancement in AI technology.
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Alibaba Cloud / Qwen Team
Qwen2.5-Omni-7B is a multimodal language model developed by Alibaba Cloud / Qwen Team. The model shows competitive results across 45 benchmarks. It excels particularly in DocVQA (95.2%), VocalSound (93.9%), GSM8k (88.7%). 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 Alibaba Cloud / Qwen Team's latest advancement in AI technology.
4 months newer
Qwen2.5-Omni-7B
Alibaba Cloud / Qwen Team
2025-03-27
GLM-4.5
Zhipu AI
2025-07-28
Performance Metrics
Context window and performance specifications
Average performance across 57 common benchmarks
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GLM-4.5
Average Score:15.7%
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Qwen2.5-Omni-7B
Average Score:46.8%(+31.0%)
Provider Availability & Performance
Available providers and their performance metrics
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GLM-4.5
3 providers
DeepInfra
Novita
ZeroEval
Throughput: 85 tok/s
Latency: 0.7ms
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Qwen2.5-Omni-7B
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GLM-4.5
Avg Score:15.7%
Providers:3
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Qwen2.5-Omni-7B
Avg Score:46.8%(+31.0%)
Providers:0