Capabilities
7-day heat trend
−11.2%Pricing breakdown
Typical 3:1 output-to-input mix, per 1M tokens
Estimated monthly cost by workload
Market position
- Cheaper than 43% of tracked models
- Faster than 41% of tracked models
- Efficiency rank: #856 of 1105
Best suited for
Mixed text, image, audio and document workloads that benefit from one model across modalities.
About document-ocr
Upstage Document OCR extracts text from document images and PDFs for downstream document intelligence workflows.
document-ocr is a Multimodal model from Upstage (US). HotON.ai tracks it at $0.00 per 1M input tokens and $0.00 per 1M output tokens, with a 1K-token context window, ~143 tokens/sec throughput and 97.1% availability. Its composite efficiency score is 88/100 at an estimated $0.000 per successful task.
Compare document-ocr
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Frequently asked questions
How much does document-ocr cost per 1M tokens?+
document-ocr is tracked at $0.00 per 1M input tokens and $0.00 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $0.00 per 1M tokens. Figures are illustrative demo data.
What is document-ocr best for?+
Mixed text, image, audio and document workloads that benefit from one model across modalities.
How fast is document-ocr?+
document-ocr delivers about 143 tokens/sec with 97.1% tracked availability, suitable for latency-sensitive, real-time applications.
Is document-ocr cheaper than other AI models?+
Within the HotON.ai tracked set, document-ocr is cheaper than 43% of models on input price and ranks #856 of 1105 by overall efficiency.
Related models
Pricing is real (via the TestKey catalog, updated daily). Quality (Arena Elo) is real where the model is ranked on LMArena. Speed, availability and efficiency are modeled estimates.