Model comparison
FastWAM (kimtaey/fastwam-lpl-rt-a4) vs GPT-5
Capability radar, value bars, and side-by-side posture.
FastWAM (kimtaey/fastwam-lpl-rt-a4)
Not scored
value score
GPT-5
94
value score
FastWAM (kimtaey/fastwam-lpl-rt-a4) ctx
—
GPT-5 ctx
400K
Capability radar
Value · context · multimodal · openness · speed posture
Value head-to-head
- GPT-594
Attribute tape
| Field | FastWAM (kimtaey/fastwam-lpl-rt-a4) | GPT-5 |
|---|---|---|
| Developer | kimtaey | OpenAI |
| Context | — | 400K |
| Modalities | Text, Code, Image, Audio | |
| Openness | — | Proprietary Model |
| Speed | — | Fast |
| Price | — | Mid-High |
| Value score | — | 94 |
| Summary | FastWAM is a world action model for robot control that uses video-based world modeling during training but performs direct action prediction at inference time, bypassing future-frame generation. This checkpoint (lpl-rt-a4) is a fine-tuned variant published by Hugging Face user kimtaey, part of the broader FastWAM model family. | OpenAI frontier multimodal model. |