Two of fourteen models named ABBYY Vantage first on the direct prompt; zero named Amazon Textract. ABBYY Vantage was named by fourteen of the fourteen models and Amazon Textract by twelve and ABBYY Vantage carries 50 labels and Amazon Textract 27, 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 November 2026 Edition, ABBYY Vantage and Amazon Textract were named in the same answer sixty-five times, of the 143 answers naming ABBYY Vantage and the 89 naming Amazon Textract. In those answers Amazon Textract took the first choice one time and ABBYY Vantage sixteen.
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | AT | |||||
| GPT-5.4 mini | AT | |||||
| Gemini 3.5 Flash | AT | |||||
| Perplexity Sonar | AT | |||||
| Grok 4.20 | ||||||
| Mistral Small | ||||||
| DeepSeek V4 Flash | ||||||
| Llama 4 Maverick | ||||||
| Qwen 3.7 Flash | ||||||
| Kimi K2 | ||||||
| GLM 4.7 FlashX | ||||||
| MiniMax M2.5 | ||||||
| GPT-6 Luna | AT | |||||
| Muse Glimmer 30B |
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 eight in this category shown.
“What to avoid if you're on a tight budget - ABBYY, Hyperscience, Rossum, UiPath: These are enterprise-grade but quote-only” DeepSeek V4 Flash · budget prompt · hard negative
“Avoid If Budget Is Tight ... ABBYY Vantage | Enterprise quotes | Mid-market to enterprise focus” Kimi K2 · budget prompt · hard negative
“Avoid enterprise tools like ABBYY Vantage, UiPath, Rossum, or Hyperscience unless you scale up” Grok 4.20 · budget prompt · hard negative
“Need an enterprise IDP platform with broad document and process capabilities? Start with ABBYY Vantage, Hyperscience, and Tungsten TotalAgility.” GPT-6 Luna · comparative prompt · first choice
“If you want the best standalone IDP specialist, ABBYY, Hyperscience, and Rossum are usually near the top of the conversation.” GPT-5.4 mini · comparative prompt · first choice
“Deep OCR + pre‑trained models; leader in Gartner Magic Quadrant and Quadrant Knowledge Solutions SPARK Matrix” GLM 4.7 FlashX · comparative 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 if you do not have a dedicated DevOps team to maintain the code.” Qwen 3.7 Flash · negative prompt · hard negative
“Amazon Textract as a standalone, turnkey IDP platform. Treat it as a document-processing building block: you may need to add workflow orchestration, validation, and exception handling yourself.” GPT-6 Luna · negative prompt · soft negative
“Google Document AI, Amazon Textract, and Azure Document Intelligence can provide strong extraction, but you may need to build validation, exception queues... They are risky choices” Perplexity Sonar · negative prompt · soft negative
“"I have a developer" | Amazon Textract or Google Document AI | Rawest price per page ($0.0015). No markup.” Qwen 3.7 Flash · budget prompt · first choice
“Amazon Textract is often the safest budget-conscious choice for teams that want a scalable IDP foundation” GPT-5.4 mini · budget prompt · first choice
“Developers usually prefer AWS Textract or Azure AI Document Intelligence APIs to integrate into custom apps” Gemini 3.5 Flash · comparative prompt · alternative
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.