Title: Phi 4 Mini Reasoning vs Phi-4-multimodal-instruct %E2%80%94 LLM EU Canonical: https://llmeu.com/pl/compare/phi-4-mini-reasoning-vs-phi-4-multimodal-instruct/ Markdown mirror: https://llmeu.com/pl/compare/phi-4-mini-reasoning-vs-phi-4-multimodal-instruct.md Machine-readable: https://llmeu.com/llms.txt (index) - https://llmeu.com/llms-full.txt (full catalogue) - https://llmeu.com/llms-catalogue.json # Phi 4 Mini Reasoning vs Phi-4-multimodal-instruct Zestaw od dw%C3%B3ch do czterech modeli obok siebie wed%C5%82ug p%C3%B3l decyduj%C4%85cych o wdro%C5%BCeniu: kontekst, cena, region, licencja, j%C4%99zyki, hosting i co jest zweryfikowane. Tam, gdzie dwa modele si%C4%99 r%C3%B3%C5%BCni%C4%85, ta tabela pokazuje r%C3%B3%C5%BCnic%C4%99 i na tym poprzestaje. LLM EU nie publikuje odznaki zwyci%C4%99zcy bez udokumentowanego wyniku dla tego zadania, a brakuj%C4%85ca liczba pozostaje brakuj%C4%85ca, zamiast stawa%C4%87 si%C4%99 zerem. ## Kiedy u%C5%BCywa%C4%87 ### [Phi 4 Mini Reasoning](/pl/models/phi-4-mini-reasoning/) #### Mocne strony - open weights are published on Hugging Face and can be downloaded without a vendor agreement - mit licence, so commercial self-hosting is permitted without a separate agreement - at 3.8B parameters it fits on a single accelerator - the model page lists en - instruction-tuned checkpoint with a chat template in the repository #### Ograniczenia - catalogue only %E2%80%94 LLM EU does not run this model, and nothing on this card implies an LLM EU endpoint - no evaluation has been run by LLM EU - the published configuration records no context window, so the card carries none - at 3.8B parameters, the weights fit on a single modest accelerator #### Zadania [Rozumowanie](/pl/tasks/reasoning/) ### [Phi-4-multimodal-instruct](/pl/models/phi-4-multimodal-instruct/) #### Mocne strony - text, image and speech input at 5.6B parameters - 128K-token context for document batches - MIT licence - 23 declared languages including most large EU languages #### Ograniczenia - modality-specific quality is below dedicated single-modality models - English-centric training data - no evaluation has been run by LLM EU #### Zadania [Wizja](/pl/tasks/vision/), [Streszczanie](/pl/tasks/summarization/), [Wsparcie wieloj%C4%99zyczne](/pl/tasks/multilingual-support/), [Niski koszt](/pl/tasks/cheap/) **Zadania:** Niezweryfikowane: dostawca nie udokumentowa%C5%82 tego twierdzenia. ## Por%C3%B3wnaj modele - [Aya 23 8B vs Phi-4-multimodal-instruct](/pl/compare/aya-23-8b-vs-phi-4-multimodal-instruct/) - [Aya Expanse 8B vs Phi-4-multimodal-instruct](/pl/compare/aya-expanse-8b-vs-phi-4-multimodal-instruct/) - [Blip2 Flan T5 Xl vs Phi-4-multimodal-instruct](/pl/compare/blip2-flan-t5-xl-vs-phi-4-multimodal-instruct/) - [Blip2 Opt 2.7B vs Phi-4-multimodal-instruct](/pl/compare/blip2-opt-2-7b-vs-phi-4-multimodal-instruct/) - [Bloom 3B vs Phi-4-multimodal-instruct](/pl/compare/bloom-3b-vs-phi-4-multimodal-instruct/) - [NVIDIA Cosmos 3 Edge vs Phi-4-multimodal-instruct](/pl/compare/cosmos-3-edge-vs-phi-4-multimodal-instruct/)