Title: Phi 3 Mini 128K Instruct vs Phi-4-multimodal-instruct %E2%80%94 LLM EU
Canonical: https://llmeu.com/hu/compare/phi-3-mini-128k-instruct-vs-phi-4-multimodal-instruct/
Markdown mirror: https://llmeu.com/hu/compare/phi-3-mini-128k-instruct-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 3 Mini 128K Instruct vs Phi-4-multimodal-instruct

%C3%81ll%C3%ADtson k%C3%A9t%E2%80%93n%C3%A9gy modellt egym%C3%A1s mell%C3%A9 azokon a mez%C5%91k%C3%B6n, amelyek egy telep%C3%ADt%C3%A9st meghat%C3%A1roznak: kontextus, %C3%A1r, r%C3%A9gi%C3%B3, licenc, nyelvek, hosting %C3%A9s az, hogy mi van ellen%C5%91rizve.

Ahol k%C3%A9t modell elt%C3%A9r, ez a t%C3%A1bl%C3%A1zat megmutatja a k%C3%BCl%C3%B6nbs%C3%A9get, %C3%A9s meg%C3%A1ll. Az LLM EU nem tesz k%C3%B6zz%C3%A9 gy%C5%91ztesjelv%C3%A9nyt az adott feladatra vonatkoz%C3%B3 dokument%C3%A1lt pontsz%C3%A1m n%C3%A9lk%C3%BCl, %C3%A9s a hi%C3%A1nyz%C3%B3 sz%C3%A1m hi%C3%A1nyz%C3%B3 marad ahelyett, hogy null%C3%A1v%C3%A1 v%C3%A1lna.

## Mikor %C3%A9rdemes haszn%C3%A1lni

### [Phi 3 Mini 128K Instruct](/hu/models/phi-3-mini-128k-instruct/)

#### Er%C5%91ss%C3%A9gek

- 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

#### Korl%C3%A1tok

- 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

#### Feladatok

[%C3%89rvel%C3%A9s](/hu/tasks/reasoning/), [%C3%96sszefoglal%C3%A1s](/hu/tasks/summarization/), [Lek%C3%A9rdez%C3%A9s (RAG)](/hu/tasks/rag/)

### [Phi-4-multimodal-instruct](/hu/models/phi-4-multimodal-instruct/)

#### Er%C5%91ss%C3%A9gek

- 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

#### Korl%C3%A1tok

- modality-specific quality is below dedicated single-modality models
- English-centric training data
- no evaluation has been run by LLM EU

#### Feladatok

[K%C3%A9pfelismer%C3%A9s](/hu/tasks/vision/), [%C3%96sszefoglal%C3%A1s](/hu/tasks/summarization/), [T%C3%B6bbnyelv%C5%B1 t%C3%A1mogat%C3%A1s](/hu/tasks/multilingual-support/), [Alacsony k%C3%B6lts%C3%A9g](/hu/tasks/cheap/)

**Feladatok:** [%C3%96sszefoglal%C3%A1s](/hu/tasks/summarization/)

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