Title: Gemma 4 26B A4B IT vs Gemma 4 31B: Param%C3%A9terek, Licenc %E2%80%94 LLM EU
Canonical: https://llmeu.com/hu/compare/gemma-4-26b-a4b-it-vs-gemma-4-31b/
Markdown mirror: https://llmeu.com/hu/compare/gemma-4-26b-a4b-it-vs-gemma-4-31b.md
Machine-readable: https://llmeu.com/llms.txt (index) - https://llmeu.com/llms-full.txt (full catalogue) - https://llmeu.com/llms-catalogue.json

# Gemma 4 26B A4B IT vs Gemma 4 31B

%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

### [Gemma 4 26B A4B IT](/hu/models/gemma-4-26b-a4b-it/)

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

- mid-size option with the 256K-token window of the larger model
- Apache-2.0 licence
- text and image input
- vendor reports near-flagship scores at a smaller footprint

#### Korl%C3%A1tok

- the "A4B" suffix is the vendor%E2%80%99s own designation and is not defined on the model card
- scores are self-reported
- no evaluation has been run by LLM EU

#### Feladatok

[%C3%89rvel%C3%A9s](/hu/tasks/reasoning/), [K%C3%B3dol%C3%A1s](/hu/tasks/coding/), [K%C3%A9pfelismer%C3%A9s](/hu/tasks/vision/), [%C3%96sszefoglal%C3%A1s](/hu/tasks/summarization/), [Alacsony k%C3%B6lts%C3%A9g](/hu/tasks/cheap/)

### [Gemma 4 31B](/hu/models/gemma-4-31b/)

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

- open weights are published on Hugging Face and can be downloaded without a vendor agreement
- Apache-2.0 licence, so commercial self-hosting is permitted without a separate agreement

#### 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 32.7B parameters, self-hosting needs a high-memory accelerator
- vision checkpoints are heavier to serve than their parameter count alone suggests, because the image encoder and pre-processing run alongside the language model

#### Feladatok

[T%C3%B6bbnyelv%C5%B1 t%C3%A1mogat%C3%A1s](/hu/tasks/multilingual-support/)

**Feladatok:** Nincs ellen%C5%91rizve: a szolg%C3%A1ltat%C3%B3 nem dokument%C3%A1lta ezt az %C3%A1ll%C3%ADt%C3%A1st.

## Modellek %C3%B6sszehasonl%C3%ADt%C3%A1sa

- [Command R (08-2024) vs Gemma 4 26B A4B IT](/hu/compare/command-r-08-2024-vs-gemma-4-26b-a4b-it/)
- [DeepSeek Coder V2 Lite Instruct vs Gemma 4 26B A4B IT](/hu/compare/deepseek-coder-v2-lite-instruct-vs-gemma-4-26b-a4b-it/)
- [DeepSeek R1 Distill Qwen 14B vs Gemma 4 26B A4B IT](/hu/compare/deepseek-r1-distill-qwen-14b-vs-gemma-4-26b-a4b-it/)
- [DeepSeek-R1-Distill-Qwen-32B vs Gemma 4 26B A4B IT](/hu/compare/deepseek-r1-distill-qwen-32b-vs-gemma-4-26b-a4b-it/)
- [DeepSeek V2 Lite vs Gemma 4 26B A4B IT](/hu/compare/deepseek-v2-lite-vs-gemma-4-26b-a4b-it/)
- [Devstral Small 2 (24B) vs Gemma 4 26B A4B IT](/hu/compare/devstral-small-2-24b-vs-gemma-4-26b-a4b-it/)