Missing values come back as null, and each result carries a confidence score. The model also handles simple calculations, estimates, and forecasts beyond extraction.

In the vendor example, a complaint-handling chain pairs Clairic with Clef and GLM-5.3 and runs in 19.3 seconds. GLM-5.3 alone takes 61.7 seconds for the same three steps and costs almost twice as much.

The preview lists a 65,536-token context window and $0.10 per million input tokens, with output billed free.

No accuracy percentage, named benchmark dataset, model size, open-weights date, or measured latency appears in the document. Confidence scores and the 80% interval describe output shape, not a measured error rate.

Developers are constrained to preview, single-pass fields, and short calculations. Buyers can replace token-generating extraction calls where typed values matter, but the missing benchmark keeps this a vendor example.

Leads with the single-pass mechanism rather than pricing or context window. Frames the chain timing as the concrete comparison. Keeps the missing-benchmark caveat in the final paragraph.