AI models
Aeneas
Training compute
2.3×10²¹ FLOP
Published
Jul 23, 2025
Aeneas is an AI model developed by Google DeepMind, University of Nottingham, University of Warwick, Athens University of Economics and Business, Google and University of Oxford (United States, United Kingdom and Greece), first published in July 2025. It works in the vision, multimodal and language domain, on tasks such as character recognition (ocr) and visual question answering.
Training it took an estimated 2.3×10²¹ FLOP of compute (estimation method: hardware). Training ran on 64 Google TPU v5e for about 168 hours.
Access: Hosted access (no API). Its weights are not openly released. Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- Google DeepMind, University of Nottingham, University of Warwick, Athens University of Economics and Business, Google, University of Oxford
- Country of organization
- United States, United Kingdom, Greece
- Domain
- Vision, Multimodal, Language
- Task
- Character recognition (OCR), Visual question answering
- Training compute
- 2.3×10²¹ FLOP
- Compute estimation method
- Hardware
- Training hardware
- Google TPU v5e
- Chips used
- 64
- Training time
- 168 h
- Training power draw
- 28.2 kW
- Model accessibility
- Hosted access (no API)
- Open weights
- No
- Epoch confidence
- Confident
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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