Title: DeepSeek V4 Flash vs DeepSeek V4.1 Flash: Parametrai %E2%80%94 LLM EU Canonical: https://llmeu.com/lt/compare/deepseek-v4-flash-vs-deepseek-v4-1-flash/ Markdown mirror: https://llmeu.com/lt/compare/deepseek-v4-flash-vs-deepseek-v4-1-flash.md Machine-readable: https://llmeu.com/llms.txt (index) - https://llmeu.com/llms-full.txt (full catalogue) - https://llmeu.com/llms-catalogue.json # DeepSeek V4 Flash vs DeepSeek V4.1 Flash 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 ### [DeepSeek V4 Flash](/lt/models/deepseek-v4-flash/) #### Stipryb%C4%97s - 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 #### 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 290.9B parameters, self-hosting needs multiple high-memory accelerators #### U%C5%BEduotys [M%C4%85stymas](/lt/tasks/reasoning/), [Programavimas](/lt/tasks/coding/), [Ma%C5%BEa kaina](/lt/tasks/cheap/) ### [DeepSeek V4.1 Flash](/lt/models/deepseek-v4-1-flash/) #### Stipryb%C4%97s - 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 #### 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 763.2B parameters, self-hosting needs a multi-node deployment rather than a single server - 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 [M%C4%85stymas](/lt/tasks/reasoning/), [Programavimas](/lt/tasks/coding/), [Vizija](/lt/tasks/vision/) **U%C5%BEduotys:** [M%C4%85stymas](/lt/tasks/reasoning/), [Programavimas](/lt/tasks/coding/) ## Palyginti modelius - [DeepSeek R1 0528 vs DeepSeek V4.1 Flash](/lt/compare/deepseek-r1-0528-vs-deepseek-v4-1-flash/) - [DeepSeek-R1 vs DeepSeek V4.1 Flash](/lt/compare/deepseek-r1-vs-deepseek-v4-1-flash/) - [DeepSeek V3 0324 vs DeepSeek V4.1 Flash](/lt/compare/deepseek-v3-0324-vs-deepseek-v4-1-flash/) - [DeepSeek V3.1 vs DeepSeek V4.1 Flash](/lt/compare/deepseek-v3-1-vs-deepseek-v4-1-flash/) - [DeepSeek-V3.2 vs DeepSeek V4.1 Flash](/lt/compare/deepseek-v3-2-vs-deepseek-v4-1-flash/) - [DeepSeek V4.1 Flash vs GLM 5](/lt/compare/deepseek-v4-1-flash-vs-glm-5/)