Title: Qwen3 0.6B vs Qwen3 32B: Parametry, Licence %E2%80%94 LLM EU
Canonical: https://llmeu.com/cs/compare/qwen3-0-6b-vs-qwen3-32b/
Markdown mirror: https://llmeu.com/cs/compare/qwen3-0-6b-vs-qwen3-32b.md
Machine-readable: https://llmeu.com/llms.txt (index) - https://llmeu.com/llms-full.txt (full catalogue) - https://llmeu.com/llms-catalogue.json

# Qwen3 0.6B vs Qwen3 32B

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

### [Qwen3 0.6B](/cs/models/qwen3-0-6b/)

#### 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 0.8B parameters it fits on a single accelerator

#### 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 0.8B parameters, the weights fit on a single modest accelerator

#### %C3%9Alohy

[Uva%C5%BEov%C3%A1n%C3%AD](/cs/tasks/reasoning/), [N%C3%ADzk%C3%A9 n%C3%A1klady](/cs/tasks/cheap/), [V%C3%ADcejazy%C4%8Dn%C3%A1 podpora](/cs/tasks/multilingual-support/)

### [Qwen3 32B](/cs/models/qwen3-32b/)

#### 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

#### 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 32.8B parameters, self-hosting needs a high-memory accelerator

#### %C3%9Alohy

[Uva%C5%BEov%C3%A1n%C3%AD](/cs/tasks/reasoning/), [V%C3%ADcejazy%C4%8Dn%C3%A1 podpora](/cs/tasks/multilingual-support/), [K%C3%B3dov%C3%A1n%C3%AD](/cs/tasks/coding/)

**%C3%9Alohy:** [Uva%C5%BEov%C3%A1n%C3%AD](/cs/tasks/reasoning/), [V%C3%ADcejazy%C4%8Dn%C3%A1 podpora](/cs/tasks/multilingual-support/)

## Porovnat modely

- [Bloom 1b1 vs Qwen3 0.6B](/cs/compare/bloom-1b1-vs-qwen3-0-6b/)
- [Bloom 560M vs Qwen3 0.6B](/cs/compare/bloom-560m-vs-qwen3-0-6b/)
- [Bloomz 560M vs Qwen3 0.6B](/cs/compare/bloomz-560m-vs-qwen3-0-6b/)
- [Command R (08-2024) vs Qwen3 32B](/cs/compare/command-r-08-2024-vs-qwen3-32b/)
- [DeepSeek-R1-Distill-Qwen-32B vs Qwen3 32B](/cs/compare/deepseek-r1-distill-qwen-32b-vs-qwen3-32b/)
- [Devstral Small 2 (24B) vs Qwen3 32B](/cs/compare/devstral-small-2-24b-vs-qwen3-32b/)