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GLM-4.5-Air vs Pixtral-12B
Comprehensive side-by-side LLM comparison
GLM-4.5-Air leads with 1.9% higher average benchmark score. Pixtral-12B supports multimodal inputs. 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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Mistral AI
Pixtral-12B is a multimodal language model developed by Mistral AI. It achieves strong performance with an average score of 66.8% across 12 benchmarks. It excels particularly in DocVQA (90.7%), ChartQA (81.8%), VQAv2 (78.6%). 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. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Mistral AI's latest advancement in AI technology.
10 months newer
Pixtral-12B
Mistral AI
2024-09-17
GLM-4.5-Air
Zhipu AI
2025-07-28
Performance Metrics
Context window and performance specifications
Average performance across 26 common benchmarks
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GLM-4.5-Air
Average Score:32.7%(+1.9%)
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Pixtral-12B
Average Score:30.9%
Provider Availability & Performance
Available providers and their performance metrics
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GLM-4.5-Air
0 providers
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Pixtral-12B
1 providers
Mistral AI
Throughput: 0.1 tok/s
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GLM-4.5-Air
Avg Score:32.7%(+1.9%)
Providers:0
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Pixtral-12B
Avg Score:30.9%
Providers:1