Qwen2.5-72B
Qwen2.5-72B is an AI model published by Alibaba, released on 2024-09-18, for Foundation model, with 72.7B parameters, and 128K context length, requiring about 144GB storage, with a 91.50 score on GSM8K.
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 | - | ¥0.0040/ 1K | ¥0.012/ 1K |
Benchmark Results
Qwen2.5-72B currently shows benchmark results led by TruthfulQA (1 / 4, score 60.40), MBPP (7 / 28, score 84.70), GSM8K (11 / 26, score 91.50). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.
General Knowledge
4 evaluationsCoding and Software Engineer
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Publisher
Model Overview
Qwen2.5-72B is an AI model published by Alibaba, released on 2024-09-18, for Foundation model, with 72.7B parameters, and 128K context length, requiring about 144GB storage, with a 91.50 score on GSM8K.
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