Title: DeepSeek R1 Distill Qwen 1.5B vs DeepSeek R1 Distill %E2%80%94 LLM EU
Canonical: https://llmeu.com/es/compare/deepseek-r1-distill-qwen-1-5b-vs-deepseek-r1-distill-qwen-7b/
Markdown mirror: https://llmeu.com/es/compare/deepseek-r1-distill-qwen-1-5b-vs-deepseek-r1-distill-qwen-7b.md
Machine-readable: https://llmeu.com/llms.txt (index) - https://llmeu.com/llms-full.txt (full catalogue) - https://llmeu.com/llms-catalogue.json

# DeepSeek R1 Distill Qwen 1.5B vs DeepSeek R1 Distill Qwen 7B

Ponga de dos a cuatro modelos lado a lado seg%C3%BAn los campos que deciden un despliegue: contexto, precio, regi%C3%B3n, licencia, idiomas, alojamiento y qu%C3%A9 est%C3%A1 verificado.

Cuando dos modelos difieren, esta tabla muestra la diferencia y se detiene. LLM EU no publica ninguna insignia de ganador sin una puntuaci%C3%B3n documentada para esa tarea, y una cifra faltante sigue faltando en lugar de convertirse en un cero.

## Cu%C3%A1ndo usarlo

### [DeepSeek R1 Distill Qwen 1.5B](/es/models/deepseek-r1-distill-qwen-1-5b/)

#### Puntos fuertes

- open weights are published on Hugging Face and can be downloaded without a vendor agreement
- mit licence, so commercial self-hosting is permitted without a separate agreement
- at 1.8B parameters it fits on a single accelerator

#### L%C3%ADmites

- 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 1.8B parameters, the weights fit on a single modest accelerator

#### Tareas

[Razonamiento](/es/tasks/reasoning/), [Bajo coste](/es/tasks/cheap/)

### [DeepSeek R1 Distill Qwen 7B](/es/models/deepseek-r1-distill-qwen-7b/)

#### Puntos fuertes

- open weights are published on Hugging Face and can be downloaded without a vendor agreement
- mit licence, so commercial self-hosting is permitted without a separate agreement
- at 7.6B parameters it fits on a single accelerator

#### L%C3%ADmites

- 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 7.6B parameters, the weights fit on a single modest accelerator

#### Tareas

[Razonamiento](/es/tasks/reasoning/), [Bajo coste](/es/tasks/cheap/)

**Tareas:** [Razonamiento](/es/tasks/reasoning/), [Bajo coste](/es/tasks/cheap/)

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- [Deepseek Coder 7B Instruct V1.5 vs DeepSeek R1 Distill Qwen 7B](/es/compare/deepseek-coder-7b-instruct-v1-5-vs-deepseek-r1-distill-qwen-7b/)
- [DeepSeek OCR vs DeepSeek R1 Distill Qwen 1.5B](/es/compare/deepseek-ocr-vs-deepseek-r1-distill-qwen-1-5b/)
- [DeepSeek R1 Distill Qwen 1.5B vs DeepSeek-R1](/es/compare/deepseek-r1-distill-qwen-1-5b-vs-deepseek-r1/)
- [DeepSeek R1 Distill Qwen 1.5B vs DeepSeek R1 0528](/es/compare/deepseek-r1-distill-qwen-1-5b-vs-deepseek-r1-0528/)