Zero of fourteen models named Google Document AI first on the direct prompt; two named ABBYY Vantage. Google Document AI was named by twelve of the fourteen models and ABBYY Vantage by fourteen and Google Document AI carries 23 labels and ABBYY Vantage 38, so the shares are not directly comparable.
Named in one category this edition.
Named in one category this edition.
Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen models, for a mid-market B2B company; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the intelligent document processing page.
Across every category in the October 2026 Edition, Google Document AI and ABBYY Vantage were named in the same answer forty-nine times, of the 78 answers naming Google Document AI and the 119 naming ABBYY Vantage. In those answers ABBYY Vantage took the first choice twenty-one times and Google Document AI two.
| Model | DirectGD | ParaphraseGD | ComparativeGD | Budget-constrainedGD | Scale-constrainedGD | NegativeGD |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | GD | |||||
| GPT-5.4 mini | GD | |||||
| Gemini 3.5 Flash | GD | GD | ||||
| Perplexity Sonar | ||||||
| Grok 4.1 Fast | GD | GD | ||||
| Mistral Small | ||||||
| DeepSeek V4 Flash | GD | GD | GD | |||
| Llama 4 Maverick | ||||||
| Qwen 3.7 Flash | GD | |||||
| Kimi K2 | ||||||
| GLM 4.7 FlashX | GD | |||||
| MiniMax M2.5 | GD | |||||
| GPT-6 Luna | GD | GD | GD | |||
| Muse Glimmer 30B | GD |
Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of seven in this category shown.
“center on managed analysis APIs, so buyers assemble most of the operational queue, review, routing, and export application around them” Claude Haiku 4.5 · comparative prompt · soft negative
“Users report pricing issues that hinder adoption for smaller businesses; costs can escalate unpredictably” DeepSeek V4 Flash · negative prompt · soft negative
“Google Cloud Document AI” Gemini 3.5 Flash · negative prompt · soft negative
“My practical pick: Google Document AI if you want a strong cloud-native option with a free tier and transparent usage pricing.” GPT-5.4 mini · budget prompt · first choice
“Go with Google Cloud Document AI or Azure AI Document Intelligence. Their free tiers are highly generous” Gemini 3.5 Flash · budget prompt · first choice
“I would suggest starting with Google Cloud Document AI or Amazon Textract” MiniMax M2.5 · budget prompt · first choice
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Avoid enterprise platforms like ABBYY, Rossum, or UiPath for now, as their annual minimums ($18k+)” Qwen 3.7 Flash · budget prompt · hard negative
“Avoid ABBYY/UiPath/Hyperscience unless you have dedicated IT resources” Kimi K2 · paraphrase prompt · hard negative
“users commonly praise accuracy/integration, but also report complex initial setup, OCR issues, and workflow configuration challenges” GPT-5.4 mini · negative prompt · soft negative
“A Gartner Magic Quadrant Leader with 35+ years of heritage and 200+ pre-trained document types... best for large enterprises with diverse document types” Claude Haiku 4.5 · comparative prompt · first choice
“The safest enterprise choice for breadth — 35+ year heritage, 150–200+ pre-trained document "skills," 200+ language support.” DeepSeek V4 Flash · comparative prompt · first choice
“If you need enterprise governance and analytics, ABBYY Vantage and Hyperscience lead for regulated, high-volume work.” Muse Glimmer 30B · comparative prompt · first choice
Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.