Qwen2.5-14B
Qwen2.5-14B is an AI model published by Alibaba, released on 2024-09-18, for Foundation model, with 14B parameters, and 128K context length, requiring about 28GB storage, 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
Open source & experience
Official resources
API details
| Type | Condition | Input | Output |
|---|---|---|---|
| Text | - | ¥0.0010/ 1K | ¥0.0030/ 1K |
Benchmark Results
Qwen2.5-14B currently shows benchmark results led by MMLU Pro (107 / 133, 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.
Compare with other models
No curated comparisons for this model yet.
Want a custom combination? Open the compare tool
Publisher
Model Overview
Qwen2.5-14B is an AI model published by Alibaba, released on 2024-09-18, for Foundation model, with 14B parameters, and 128K context length, requiring about 28GB storage, with a 63.69 score on MMLU Pro.
DataLearner on WeChat
Follow DataLearner on WeChat for AI model updates and research notes.
