AgentFounder-30B

Training compute

6.5×10²³ FLOP

Parameters

30B

Published

Sep 16, 2025

AgentFounder-30B is an AI model developed by Alibaba (China), first published in September 2025. It works in the language domain, on tasks such as language modeling/generation, question answering, system control and 4 more.

Training it took an estimated 6.5×10²³ FLOP of compute (estimation method: operation counting). The model has 30,000,000,000 parameters. It was trained on roughly 315B datapoints.

Access: Open weights (unrestricted). Its weights are openly available. It is built on top of Qwen3-30B-A3B. Epoch AI rates the confidence of this record as confident.

Full record

Organization: Alibaba
Country of organization: China
Domain: Language
Task: Language modeling/generation, Question answering, System control, Quantitative reasoning, Mathematical reasoning, Code generation, Search
Training compute: 6.5×10²³ FLOP
Compute estimation method: Operation counting
Parameters: 30,000,000,000
Dataset size: 315B
Model accessibility: Open weights (unrestricted)
Open weights: Yes
Base model: Qwen3-30B-A3B
Epoch confidence: Confident