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GPT-5.5 and GPT-5.6 low-detail modes invent data, fail invoice extraction

New testing reveals that the low-resolution modes of advanced AI models, specifically GPT-5.5 and GPT-5.6 generations, fail to accurately extract information from documents. Across 70 attempts using synthetic invoices, these models consistently invented details like company names and invoice years, even while correctly calculating financial totals. This tendency to hallucinate coherent but incorrect data, rather than producing random errors, poses a significant risk for applications like accounts payable, where accurate arithmetic might mask fabricated counterparty information. AI

IMPACT AI models' tendency to hallucinate coherent but incorrect data poses risks for automated document processing and financial applications.

RANK_REASON Analysis of AI model performance on a specific task. [lever_c_demoted from research: ic=1 ai=1.0]

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

GPT-5.5 and GPT-5.6 low-detail modes invent data, fail invoice extraction

COVERAGE [1]

  1. dev.to — LLM tag TIER_1 English(EN) · Hideki Mori ·

    When AI can't read, it invents — but it still sees the shape

    <p><em>I ran 110 vision-extraction jobs against a synthetic invoice. The low-resolution modes of the newest models never once returned the correct document — and the way they failed is worse than random noise.</em></p> <p><em>All measurements in this post are as of July 10, 2026.…