{"id":21630,"date":"2026-09-27T13:53:00","date_gmt":"2026-09-27T11:53:00","guid":{"rendered":"https:\/\/www.lukaswojcik.com\/blog\/?p=21630"},"modified":"2026-10-06T12:19:36","modified_gmt":"2026-10-06T10:19:36","slug":"ai-modelle-recherche-dokumente-vergleich-en","status":"publish","type":"post","link":"https:\/\/www.lukaswojcik.com\/blog\/en\/cloud-ai\/ai-modelle-recherche-dokumente-vergleich-en\/","title":{"rendered":"AI Models for Research and Documents: Gemini, GPT and Claude versus Open LLMs"},"content":{"rendered":"

A fluent summary establishes neither completeness nor accurate sourcing. Research and document work depend on the entire workflow: ingestion, text or image processing, retrieval and verifiable output. This comparison, dated 6 October 2026, covers Gemini 3.8 Flash, GPT-6.1 Sol, Claude Opus\/Sonnet 5.5, DeepSeek V4.1 Flash and Qwen3.8-27B.<\/p>\n

\"From
Search access and source accuracy receive separate evaluation.<\/figcaption><\/figure>\n

Gemini and document ingestion<\/h2>\n

Gemini 3.8 Flash documents PDF, text, image, video and audio inputs, together with file search and search grounding. This makes it a broad candidate for mixed materials. The limits of the specific endpoint still apply. A large context window does not guarantee complete treatment of every footnote. [6<\/a>, 12<\/a>]<\/p>\n

GPT and Claude under the same protocol<\/h2>\n

GPT-6.1 Sol and current Claude models support text and image inputs. A fair document comparison gives every candidate the same information. A system with a search tool and a model without search otherwise perform different tasks. Tool availability also needs separate assessment from answer quality. [2<\/a>, 3<\/a>]<\/p>\n

Additional components for open models<\/h2>\n

DeepSeek V4.1 Flash and Qwen3.8-27B publish multimodal weights. This does not provide a complete document platform. PDF preprocessing, OCR where necessary, indexing, retrieval and output formatting remain additional components. Their configuration determines the data path and reliability of a local system. Ollama alone establishes neither a working vision pipeline nor local web search. [7<\/a>, 8<\/a>, 9<\/a>]<\/p>\n\n\n\n\n\n\n\n\n
Comparison point<\/th>\nCloud workflow<\/th>\nLocal workflow<\/th>\n<\/tr>\n<\/thead>\n
Ingestion<\/td>\nSupported upload \/ API input<\/td>\nParser, OCR and vision support<\/td>\n<\/tr>\n
Knowledge access<\/td>\nConfigured file or web search<\/td>\nOwn index and retrieval<\/td>\n<\/tr>\n
Source evidence<\/td>\nOpen the original evidence<\/td>\nCheck the local document location<\/td>\n<\/tr>\n
Freshness<\/td>\nDate of retrieved source<\/td>\nIndex update date<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

A test with verifiable answers<\/h2>\n

A useful package contains a short report, a long PDF with tables, a scan and two conflicting versions. Tasks cover extraction, summarisation, contradiction detection and a deliberately unanswerable question. Expected facts and source locations are recorded in advance.<\/p>\n

Scoring covers correct statements, missing required information, invented evidence and appropriate acknowledgement of unavailable answers. A source must support the particular claim. A link to the right website is insufficient when the stated figure is absent.<\/p>\n

The editorial shortlist<\/h2>\n

Gemini is a natural first candidate for mixed files. GPT and Claude belong in the same structured knowledge-work pilot. Open models are particularly interesting for controlled processing of an internal document collection. This shortlist reflects documented capabilities; only the same document test can establish a quality winner.<\/p>\n

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Related tools<\/h2>\n