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 14B parameters, and 128K context length, requiring about 28GB storage, under the Apache 2.0 license, with a 63.69 score on MMLU Pro.
Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology
Model basics
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Benchmark Results
Qwen2.5-14B currently shows benchmark results led by MMLU Pro (102 / 126, 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.
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Model Overview
Qwen2.5-14B is an AI model published by 阿里巴巴, released on 2024-09-18, for Foundation model, with 14B parameters, and 128K context length, requiring about 28GB storage, under the Apache 2.0 license, with a 63.69 score on MMLU Pro.
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