Comprehensive side-by-side LLM comparison
. Both models have their strengths depending on your specific coding needs.
Zhipu AI
GLM-4.5 Air is a lightweight variant from Zhipu AI's GLM-4 model family, designed for efficient deployments requiring lower inference cost while maintaining strong language understanding and generation capabilities. It targets cost-sensitive production workloads, API integrations, and applications where the full GLM-4.x series capacity exceeds requirements.
Alibaba / Qwen
Qwen2.5-14B-Instruct is a 14-billion-parameter language model from Alibaba released in September 2024 within the Qwen2.5 family, occupying the mid-tier of the series between efficiency-focused small models and the high-capability 72B flagship. Trained on 18 trillion tokens with emphasis on instruction alignment, code understanding, and multilingual reasoning, it offers a strong performance-to-compute ratio for developers who need more capability than 7B but cannot serve 32B or larger models. The model supports 128K context windows and structured output generation out of the box.
10 months newer
Qwen2.5 14B Instruct
Alibaba / Qwen
2024-09-19
GLM-4.5 Air
Zhipu AI
2025-07-28
Context window and performance specifications
Available providers and their performance metrics
GLM-4.5 Air
Zhipu AI
Qwen2.5 14B Instruct
GLM-4.5 Air
Qwen2.5 14B Instruct
GLM-4.5 Air
Qwen2.5 14B Instruct