Qwen2.5-14B
Qwen2.5-14B is an AI model published by 阿里巴巴, released on 2024-09-18, for Foundation model, with 140.0B parameters, and 128K tokens context length, requiring about 28GB storage, under the Apache 2.0 license.
Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology
Qwen2.5-14B currently shows benchmark results led by MMLU Pro (100 / 124, score 63.69). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.
Qwen2.5-14B is an AI model published by 阿里巴巴, released on 2024-09-18, for Foundation model, with 140.0B parameters, and 128K tokens context length, requiring about 28GB storage, under the Apache 2.0 license.
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