Qwen3-235B-A22B (Jul 2025)

Training compute

4.8×10²⁴ FLOP

Parameters

235B

Published

Jul 25, 2025

Qwen3-235B-A22B (Jul 2025) is an AI model developed by Alibaba (China), first published in July 2025. It works in the language domain, on tasks such as language modeling/generation, question answering, mathematical reasoning and 3 more.

Training it took an estimated 4.8×10²⁴ FLOP of compute (estimation method: operation counting). The model has 235,000,000,000 parameters. It was trained on roughly 36T datapoints.

Access: Open weights (unrestricted). Its weights are openly available. Epoch AI rates the confidence of this record as likely.

Full record

Organization: Alibaba
Country of organization: China
Domain: Language
Task: Language modeling/generation, Question answering, Mathematical reasoning, Quantitative reasoning, Code generation, Translation
Training compute: 4.8×10²⁴ FLOP
Compute estimation method: Operation counting
Parameters: 235,000,000,000
Dataset size: 36T
Model accessibility: Open weights (unrestricted)
Open weights: Yes
Epoch confidence: Likely

Benchmark results

01

Epoch Capabilities Index

ECI Score

144.8