Title: Qwen3.5 2B vs Qwen3.5 4B: Parametrai, Licencija %E2%80%94 LLM EU
Canonical: https://llmeu.com/lt/compare/qwen3-5-2b-vs-qwen3-5-4b/
Markdown mirror: https://llmeu.com/lt/compare/qwen3-5-2b-vs-qwen3-5-4b.md
Machine-readable: https://llmeu.com/llms.txt (index) - https://llmeu.com/llms-full.txt (full catalogue) - https://llmeu.com/llms-catalogue.json

# Qwen3.5 2B vs Qwen3.5 4B

Sud%C4%97kite du%E2%80%93keturis modelius greta pagal laukus, kurie lemia diegim%C4%85: kontekstas, kaina, regionas, licencija, kalbos, talpinimas ir tai, kas patikrinta.

Kai du modeliai skiriasi, %C5%A1i lentel%C4%97 parodo skirtum%C4%85 ir sustoja. LLM EU neskelbia nugal%C4%97tojo %C5%BEenklo be dokumentuoto tos u%C5%BEduoties balo, o tr%C5%ABkstamas skai%C4%8Dius lieka tr%C5%ABkstamas, o ne tampa nuliu.

## Kada naudoti

### [Qwen3.5 2B](/lt/models/qwen3-5-2b/)

#### Stipryb%C4%97s

- 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 2.3B parameters it fits on a single accelerator

#### Apribojimai

- 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 2.3B 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

#### U%C5%BEduotys

[Vizija](/lt/tasks/vision/), [Ma%C5%BEa kaina](/lt/tasks/cheap/), [Daugiakalbis palaikymas](/lt/tasks/multilingual-support/)

### [Qwen3.5 4B](/lt/models/qwen3-5-4b/)

#### Stipryb%C4%97s

- 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 4.7B parameters it fits on a single accelerator

#### Apribojimai

- 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 4.7B 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

#### U%C5%BEduotys

[Vizija](/lt/tasks/vision/), [Daugiakalbis palaikymas](/lt/tasks/multilingual-support/)

**U%C5%BEduotys:** [Vizija](/lt/tasks/vision/), [Daugiakalbis palaikymas](/lt/tasks/multilingual-support/)

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- [Aya 23 8B vs Qwen3.5 4B](/lt/compare/aya-23-8b-vs-qwen3-5-4b/)
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- [Blip2 Flan T5 Xl vs Qwen3.5 2B](/lt/compare/blip2-flan-t5-xl-vs-qwen3-5-2b/)
- [Blip2 Opt 2.7B vs Qwen3.5 2B](/lt/compare/blip2-opt-2-7b-vs-qwen3-5-2b/)
- [Bloom 3B vs Qwen3.5 2B](/lt/compare/bloom-3b-vs-qwen3-5-2b/)
- [NVIDIA Cosmos 3 Edge vs Qwen3.5 2B](/lt/compare/cosmos-3-edge-vs-qwen3-5-2b/)