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GLM-4.5-Air vs Llama 4 Scout
Comprehensive side-by-side LLM comparison
GLM-4.5-Air leads with 1.9% higher average benchmark score. Llama 4 Scout supports multimodal inputs. Llama 4 Scout is available on 6 providers. Both models have their strengths depending on your specific coding needs.
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Zhipu AI
GLM-4.5-Air is a language model developed by Zhipu AI. It achieves strong performance with an average score of 60.8% across 14 benchmarks. It excels particularly in MATH-500 (98.1%), AIME 2024 (89.4%), MMLU-Pro (81.4%). 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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Meta
Llama 4 Scout is a multimodal language model developed by Meta. It achieves strong performance with an average score of 67.3% across 12 benchmarks. It excels particularly in DocVQA (94.4%), MGSM (90.6%), ChartQA (88.8%). With a 20.0M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 6 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Meta's latest advancement in AI technology.
3 months newer
Llama 4 Scout
Meta
2025-04-05
GLM-4.5-Air
Zhipu AI
2025-07-28
Performance Metrics
Context window and performance specifications
Average performance across 23 common benchmarks
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GLM-4.5-Air
Average Score:37.0%(+1.9%)
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Llama 4 Scout
Average Score:35.1%
Provider Availability & Performance
Available providers and their performance metrics
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GLM-4.5-Air
0 providers
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Llama 4 Scout
6 providers
DeepInfra
Throughput: 76.1 tok/s
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GLM-4.5-Air
Avg Score:37.0%(+1.9%)
Providers:0
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Llama 4 Scout
Avg Score:35.1%
Providers:6