Title: DeepSeek R1 Distill Llama 8B vs DeepSeek R1 0528 Qwen3 %E2%80%94 LLM EU
Canonical: https://llmeu.com/pt/compare/deepseek-r1-distill-llama-8b-vs-deepseek-r1-0528-qwen3-8b/
Markdown mirror: https://llmeu.com/pt/compare/deepseek-r1-distill-llama-8b-vs-deepseek-r1-0528-qwen3-8b.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 Llama 8B vs DeepSeek R1 0528 Qwen3 8B

Coloque dois a quatro modelos lado a lado nos campos que decidem uma implementa%C3%A7%C3%A3o: contexto, pre%C3%A7o, regi%C3%A3o, licen%C3%A7a, idiomas, alojamento e o que est%C3%A1 verificado.

Onde dois modelos diferem, esta tabela mostra a diferen%C3%A7a e para. A LLM EU n%C3%A3o publica um selo de vencedor sem uma pontua%C3%A7%C3%A3o documentada para essa tarefa, e um valor em falta permanece em falta em vez de se tornar zero.

## Quando usar

### [DeepSeek R1 Distill Llama 8B](/pt/models/deepseek-r1-distill-llama-8b/)

#### Pontos fortes

- 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 8B parameters it fits on a single accelerator

#### Limita%C3%A7%C3%B5es

- 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 8B parameters, the weights fit on a single modest accelerator

#### Tarefas

[Racioc%C3%ADnio](/pt/tasks/reasoning/), [Baixo custo](/pt/tasks/cheap/)

### [DeepSeek R1 0528 Qwen3 8B](/pt/models/deepseek-r1-0528-qwen3-8b/)

#### Pontos fortes

- 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 8.2B parameters it fits on a single accelerator

#### Limita%C3%A7%C3%B5es

- 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 8.2B parameters, the weights fit on a single modest accelerator

#### Tarefas

[Racioc%C3%ADnio](/pt/tasks/reasoning/), [Baixo custo](/pt/tasks/cheap/)

**Tarefas:** [Racioc%C3%ADnio](/pt/tasks/reasoning/), [Baixo custo](/pt/tasks/cheap/)

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- [DeepSeek R1 0528 Qwen3 8B vs Kimi VL A3B Instruct](/pt/compare/deepseek-r1-0528-qwen3-8b-vs-kimi-vl-a3b-instruct/)
- [DeepSeek R1 Distill Llama 8B vs DeepSeek V2 Lite](/pt/compare/deepseek-r1-distill-llama-8b-vs-deepseek-v2-lite/)
- [DeepSeek R1 Distill Llama 8B vs Falcon H1 7B Instruct](/pt/compare/deepseek-r1-distill-llama-8b-vs-falcon-h1-7b-instruct/)
- [DeepSeek R1 Distill Llama 8B vs Falcon3 10B Instruct](/pt/compare/deepseek-r1-distill-llama-8b-vs-falcon3-10b-instruct/)