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Daily blended price ($/1M) — recorded each day, builds into a trend over time.
Typical 3:1 output-to-input mix, per 1M tokens
Price as of 2026-05-11 · Source: zhipu_bigmodel_official_reference
Mixed text, image, audio and document workloads that benefit from one model across modalities.
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. Its composite efficiency score is 88/100 at an estimated $0.000 per successful task.
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.
Mixed text, image, audio and document workloads that benefit from one model across modalities.
glm-ocr supports up to a 1K-token context window — large enough for long documents and extended conversations in a single request.
Within the HotON.ai tracked set, glm-ocr is cheaper than 95% of models on input price and ranks #389 of 537 by overall efficiency.
Ready to paste into articles, papers or AI prompts — prices and date refresh with the live data.
HotON.ai — glm-ocr (Zhipu / GLM): $0.03/1M input, $0.03/1M output, as of 2026-05-11. https://hoton.ai/en/models/z-ai-glm-ocrPricing is real (via the TestKey catalog, updated daily). Quality (Arena Elo) is real where the model is ranked on LMArena. Efficiency is a modeled composite of real price and context.