Capabilities
7-day heat trend
−20.6%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 12% of tracked models
- Efficiency rank: #661 of 1105
Best suited for
Mixed text, image, audio and document workloads that benefit from one model across modalities.
About document-classify
Upstage Document Classify assigns document types for document intelligence pipelines and automated routing.
document-classify 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, ~127 tokens/sec throughput and 96.9% availability. Its composite efficiency score is 88/100 at an estimated $0.000 per successful task.
Compare document-classify
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Frequently asked questions
How much does document-classify cost per 1M tokens?+
document-classify 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-classify best for?+
Mixed text, image, audio and document workloads that benefit from one model across modalities.
How fast is document-classify?+
document-classify delivers about 127 tokens/sec with 96.9% tracked availability, suitable for latency-sensitive, real-time applications.
Is document-classify cheaper than other AI models?+
Within the HotON.ai tracked set, document-classify is cheaper than 43% of models on input price and ranks #661 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.