Capabilities
7-day heat trend
+6.9%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 27% of tracked models
- Efficiency rank: #663 of 1105
Best suited for
Mixed text, image, audio and document workloads that benefit from one model across modalities.
About document-parse
Upstage Document Parse converts complex documents into structured LLM-ready text and layout fields.
document-parse 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, ~136 tokens/sec throughput and 98.1% availability. Its composite efficiency score is 88/100 at an estimated $0.000 per successful task.
Compare document-parse
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Frequently asked questions
How much does document-parse cost per 1M tokens?+
document-parse 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-parse best for?+
Mixed text, image, audio and document workloads that benefit from one model across modalities.
How fast is document-parse?+
document-parse delivers about 136 tokens/sec with 98.1% tracked availability, suitable for latency-sensitive, real-time applications.
Is document-parse cheaper than other AI models?+
Within the HotON.ai tracked set, document-parse is cheaper than 43% of models on input price and ranks #663 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.