Model comparison
GOT-OCR2.0 vs GPT-5
Capability radar, value bars, and side-by-side posture.
GOT-OCR2.0
Not scored
value score
GPT-5
94
value score
GOT-OCR2.0 ctx
—
GPT-5 ctx
400K
Capability radar
Value · context · multimodal · openness · speed posture
Value head-to-head
- GPT-594
Attribute tape
| Field | GOT-OCR2.0 | GPT-5 |
|---|---|---|
| Developer | stepfun-ai | OpenAI |
| Context | — | 400K |
| Modalities | Text, Code, Image, Audio | |
| Openness | — | Proprietary Model |
| Speed | — | Fast |
| Price | — | Mid-High |
| Value score | — | 94 |
| Summary | GOT-OCR2.0 is a 0.7B-parameter unified end-to-end OCR model from StepFun that extracts text from images including scene text, scanned documents, tables, math formulas, charts, geometric shapes, molecular formulas, and sheet music. It supports structured formatted output and interactive region-level OCR via prompts, going beyond plain-text extraction. | OpenAI frontier multimodal model. |