Title: Qwen2.5 1.5B Instruct vs Qwen2.5 3B Instruct: Param%C3%A8tres %E2%80%94 LLM EU
Canonical: https://llmeu.com/fr/compare/qwen2-5-1-5b-instruct-vs-qwen2-5-3b-instruct/
Markdown mirror: https://llmeu.com/fr/compare/qwen2-5-1-5b-instruct-vs-qwen2-5-3b-instruct.md
Machine-readable: https://llmeu.com/llms.txt (index) - https://llmeu.com/llms-full.txt (full catalogue) - https://llmeu.com/llms-catalogue.json

# Qwen2.5 1.5B Instruct vs Qwen2.5 3B Instruct

Placez deux %C3%A0 quatre mod%C3%A8les c%C3%B4te %C3%A0 c%C3%B4te sur les champs qui d%C3%A9cident un d%C3%A9ploiement : contexte, prix, r%C3%A9gion, licence, langues, h%C3%A9bergement et ce qui est v%C3%A9rifi%C3%A9.

Lorsque deux mod%C3%A8les diff%C3%A8rent, ce tableau montre la diff%C3%A9rence et s'arr%C3%AAte l%C3%A0. LLM EU ne publie aucun badge de gagnant sans score document%C3%A9 pour cette t%C3%A2che, et une valeur manquante reste manquante au lieu de devenir un z%C3%A9ro.

## Quand l'utiliser

### [Qwen2.5 1.5B Instruct](/fr/models/qwen2-5-1-5b-instruct/)

#### Points forts

- 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 1.5B parameters it fits on a single accelerator
- the model page lists en
- instruction-tuned checkpoint with a chat template in the repository

#### Limites

- 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 1.5B parameters, the weights fit on a single modest accelerator

#### T%C3%A2ches

[Faible co%C3%BBt](/fr/tasks/cheap/), [Support multilingue](/fr/tasks/multilingual-support/), [R%C3%A9sum%C3%A9s](/fr/tasks/summarization/)

### [Qwen2.5 3B Instruct](/fr/models/qwen2-5-3b-instruct/)

#### Points forts

- open weights are published on Hugging Face and can be downloaded without a vendor agreement
- at 3.1B parameters it fits on a single accelerator
- the model page lists en
- instruction-tuned checkpoint with a chat template in the repository

#### Limites

- 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 qwen-research (other) licence is a custom agreement whose commercial terms were not established from its published text, so commercial serving is not permitted until a human clears it; the router must not route to it
- the published configuration records no context window, so the card carries none
- at 3.1B parameters, the weights fit on a single modest accelerator

#### T%C3%A2ches

[Faible co%C3%BBt](/fr/tasks/cheap/), [Support multilingue](/fr/tasks/multilingual-support/), [R%C3%A9sum%C3%A9s](/fr/tasks/summarization/)

**T%C3%A2ches:** [Faible co%C3%BBt](/fr/tasks/cheap/), [Support multilingue](/fr/tasks/multilingual-support/), [R%C3%A9sum%C3%A9s](/fr/tasks/summarization/)

## Comparer des mod%C3%A8les

- [Blip2 Opt 2.7B vs Qwen2.5 3B Instruct](/fr/compare/blip2-opt-2-7b-vs-qwen2-5-3b-instruct/)
- [Bloom 1b1 vs Qwen2.5 1.5B Instruct](/fr/compare/bloom-1b1-vs-qwen2-5-1-5b-instruct/)
- [Bloom 3B vs Qwen2.5 1.5B Instruct](/fr/compare/bloom-3b-vs-qwen2-5-1-5b-instruct/)
- [NVIDIA Cosmos Reason2 2B vs Qwen2.5 1.5B Instruct](/fr/compare/cosmos-reason2-2b-vs-qwen2-5-1-5b-instruct/)
- [DeepSeek OCR vs Qwen2.5 3B Instruct](/fr/compare/deepseek-ocr-vs-qwen2-5-3b-instruct/)
- [DeepSeek R1 Distill Qwen 1.5B vs Qwen2.5 1.5B Instruct](/fr/compare/deepseek-r1-distill-qwen-1-5b-vs-qwen2-5-1-5b-instruct/)