Capabilities
7-day heat trend
−4.6%Pricing breakdown
Typical 3:1 output-to-input mix, per 1M tokens
Estimated monthly cost by workload
Market position
- Cheaper than 41% of tracked models
- Faster than 70% of tracked models
- Efficiency rank: #682 of 1105
Best suited for
Mixed text, image, audio and document workloads that benefit from one model across modalities.
About glm-ocr
GLM OCR is Zhipu's document and image parsing model for OCR, tables, formulas, and structured extraction.
glm-ocr is a Multimodal model from Zhipu / GLM (CN). HotON.ai tracks it at $0.03 per 1M input tokens and $0.03 per 1M output tokens, with a 1K-token context window, ~158 tokens/sec throughput and 99.8% availability. Its composite efficiency score is 88/100 at an estimated $0.000 per successful task.
Compare glm-ocr
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Frequently asked questions
How much does glm-ocr cost per 1M tokens?+
glm-ocr is tracked at $0.03 per 1M input tokens and $0.03 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $0.03 per 1M tokens. Figures are illustrative demo data.
What is glm-ocr best for?+
Mixed text, image, audio and document workloads that benefit from one model across modalities.
How fast is glm-ocr?+
glm-ocr delivers about 158 tokens/sec with 99.8% tracked availability, suitable for latency-sensitive, real-time applications.
Is glm-ocr cheaper than other AI models?+
Within the HotON.ai tracked set, glm-ocr is cheaper than 41% of models on input price and ranks #682 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.