Title: DeepSeek-R1-Distill-Qwen-32B vs DeepSeek R1 0528 %E2%80%94 LLM EU
Canonical: https://llmeu.com/sv/compare/deepseek-r1-distill-qwen-32b-vs-deepseek-r1-0528/
Markdown mirror: https://llmeu.com/sv/compare/deepseek-r1-distill-qwen-32b-vs-deepseek-r1-0528.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-32B vs DeepSeek R1 0528

St%C3%A4ll tv%C3%A5 till fyra modeller sida vid sida p%C3%A5 de f%C3%A4lt som avg%C3%B6r en drifts%C3%A4ttning: kontext, pris, region, licens, spr%C3%A5k, hosting och vad som %C3%A4r verifierat.

D%C3%A4r tv%C3%A5 modeller skiljer sig visar denna tabell skillnaden och stannar. LLM EU publicerar ingen vinnarutm%C3%A4rkelse utan en dokumenterad po%C3%A4ng f%C3%B6r den uppgiften, och en saknad siffra f%C3%B6rblir saknad i st%C3%A4llet f%C3%B6r att bli en nolla.

## N%C3%A4r den ska anv%C3%A4ndas

### [DeepSeek-R1-Distill-Qwen-32B](/sv/models/deepseek-r1-distill-qwen-32b/)

#### Styrkor

- fits a single 80GB accelerator
- MIT licence
- retains the R1 reasoning style that smaller base models usually lack

#### Begr%C3%A4nsningar

- a distillation, so quality is bounded by the teacher
- long reasoning traces increase output cost
- no evaluation has been run by LLM EU

#### Uppgifter

[Resonemang](/sv/tasks/reasoning/), [Kodning](/sv/tasks/coding/), [L%C3%A5g kostnad](/sv/tasks/cheap/), [Sammanfattning](/sv/tasks/summarization/)

### [DeepSeek R1 0528](/sv/models/deepseek-r1-0528/)

#### Styrkor

- 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

#### Begr%C3%A4nsningar

- 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 684.5B parameters, self-hosting needs a multi-node deployment rather than a single server

#### Uppgifter

[Resonemang](/sv/tasks/reasoning/), [Kodning](/sv/tasks/coding/)

**Uppgifter:** [Resonemang](/sv/tasks/reasoning/), [Kodning](/sv/tasks/coding/)

## J%C3%A4mf%C3%B6r modeller

- [Command R (08-2024) vs DeepSeek-R1-Distill-Qwen-32B](/sv/compare/command-r-08-2024-vs-deepseek-r1-distill-qwen-32b/)
- [DeepSeek R1 0528 vs DeepSeek V3 0324](/sv/compare/deepseek-r1-0528-vs-deepseek-v3-0324/)
- [DeepSeek R1 0528 vs DeepSeek V3.1](/sv/compare/deepseek-r1-0528-vs-deepseek-v3-1/)
- [DeepSeek R1 0528 vs DeepSeek-V3.2](/sv/compare/deepseek-r1-0528-vs-deepseek-v3-2/)
- [DeepSeek R1 0528 vs DeepSeek V4.1 Flash](/sv/compare/deepseek-r1-0528-vs-deepseek-v4-1-flash/)
- [DeepSeek R1 0528 vs GLM 4.5](/sv/compare/deepseek-r1-0528-vs-glm-4-5/)