Qwen3-32B

Training compute

7.1×10²⁴ FLOP

Parameters

32.8B

Published

Apr 29, 2025

Qwen3-32B is an AI model developed by Alibaba (China), first published in April 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 7.1×10²⁴ FLOP of compute (estimation method: operation counting). The model has 32,800,000,000 parameters.

Access: Open weights (unrestricted). Its weights are openly available. 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, Mathematical reasoning, Quantitative reasoning, Code generation, Translation
Training compute: 7.1×10²⁴ FLOP
Compute estimation method: Operation counting
Parameters: 32,800,000,000
Model accessibility: Open weights (unrestricted)
Open weights: Yes
Epoch confidence: Confident

Benchmark results

01	Aider Polyglot	Percent correct	40
02	SciCode	Score	0.35
03	Critpt	Accuracy	0