Title: Gemma 4 E2B It vs Gemma 4 26B A4B IT: Parametry, Licence %E2%80%94 LLM EU
Canonical: https://llmeu.com/cs/compare/gemma-4-e2b-it-vs-gemma-4-26b-a4b-it/
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# Gemma 4 E2B It vs Gemma 4 26B A4B IT

Porovnejte dva a%C5%BE %C4%8Dty%C5%99i modely vedle sebe podle pol%C3%AD, kter%C3%A1 rozhoduj%C3%AD o nasazen%C3%AD: kontext, cena, region, licence, jazyky, hosting a co je ov%C4%9B%C5%99eno.

Tam, kde se dva modely li%C5%A1%C3%AD, tabulka uk%C3%A1%C5%BEe rozd%C3%ADl a skon%C4%8D%C3%AD. LLM EU nezve%C5%99ej%C5%88uje odznak v%C3%ADt%C4%9Bze bez dolo%C5%BEen%C3%A9ho sk%C3%B3re pro danou %C3%BAlohu a chyb%C4%9Bj%C3%ADc%C3%AD %C3%BAdaj z%C5%AFst%C3%A1v%C3%A1 chyb%C4%9Bj%C3%ADc%C3%AD, m%C3%ADsto aby se stal nulou.

## Kdy pou%C5%BE%C3%ADt

### [Gemma 4 E2B It](/cs/models/gemma-4-e2b-it/)

#### Siln%C3%A9 str%C3%A1nky

- 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
- at 5.1B parameters it fits on a single accelerator
- instruction-tuned checkpoint with a chat template in the repository
- speech recognition runs locally, so audio never leaves the operator premises

#### Omezen%C3%AD

- 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 5.1B parameters, the weights fit on a single modest 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

#### %C3%9Alohy

[V%C3%ADcejazy%C4%8Dn%C3%A1 podpora](/cs/tasks/multilingual-support/), [N%C3%ADzk%C3%A9 n%C3%A1klady](/cs/tasks/cheap/), [Zpracov%C3%A1n%C3%AD obrazu](/cs/tasks/vision/)

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

#### Siln%C3%A9 str%C3%A1nky

- 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

#### Omezen%C3%AD

- 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

#### %C3%9Alohy

[Uva%C5%BEov%C3%A1n%C3%AD](/cs/tasks/reasoning/), [K%C3%B3dov%C3%A1n%C3%AD](/cs/tasks/coding/), [Zpracov%C3%A1n%C3%AD obrazu](/cs/tasks/vision/), [Shrnut%C3%AD](/cs/tasks/summarization/), [N%C3%ADzk%C3%A9 n%C3%A1klady](/cs/tasks/cheap/)

**%C3%9Alohy:** [N%C3%ADzk%C3%A9 n%C3%A1klady](/cs/tasks/cheap/), [Zpracov%C3%A1n%C3%AD obrazu](/cs/tasks/vision/)

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