AI models
Wu Dao 2.0
Training compute
1.5×10²⁴ FLOP
Parameters
1.8T
Published
May 31, 2021
Wu Dao 2.0 is an AI model developed by Beijing Academy of Artificial Intelligence / BAAI (China), first published in May 2021. It works in the multimodal, language, vision and image generation domain, on tasks such as image captioning, chat, image generation and 4 more. It counts among the frontier models: the systems trained with the most compute of their moment.
Training it took an estimated 1.5×10²⁴ FLOP of compute (estimation method: operation counting). The model has 1,750,000,000,000 parameters. It was trained on roughly 4.9T datapoints. The compute alone is estimated at $3M in 2023 dollars.
Access: API access. Its weights are not openly released. Epoch AI rates the confidence of this record as speculative.
Full record
- Organization
- Beijing Academy of Artificial Intelligence / BAAI
- Country of organization
- China
- Domain
- Multimodal, Language, Vision, Image generation
- Task
- Image captioning, Chat, Image generation, Text-to-image, Language modeling/generation, Question answering, Visual question answering
- Training compute
- 1.5×10²⁴ FLOP
- Compute estimation method
- Operation counting
- Parameters
- 1,750,000,000,000
- Dataset size
- 4.9T
- Training cost (2023 USD)
- $3M
- Model accessibility
- API access
- Open weights
- No
- Epoch confidence
- Speculative
More from Beijing Academy of Artificial Intelligence / BAAI
SourceEpoch AI, 'AI Models'. Published online at epoch.ai. Retrieved 2026-07-29 from https://epoch.ai/data/ai-models. Licensed under CC BY 4.0.
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