Title: gpt-oss-20b vs gpt-oss-120b: Param%C3%A9terek, Licenc %E2%80%94 LLM EU Canonical: https://llmeu.com/hu/compare/gpt-oss-20b-vs-gpt-oss-120b/ Markdown mirror: https://llmeu.com/hu/compare/gpt-oss-20b-vs-gpt-oss-120b.md Machine-readable: https://llmeu.com/llms.txt (index) - https://llmeu.com/llms-full.txt (full catalogue) - https://llmeu.com/llms-catalogue.json # gpt-oss-20b vs gpt-oss-120b %C3%81ll%C3%ADtson k%C3%A9t%E2%80%93n%C3%A9gy modellt egym%C3%A1s mell%C3%A9 azokon a mez%C5%91k%C3%B6n, amelyek egy telep%C3%ADt%C3%A9st meghat%C3%A1roznak: kontextus, %C3%A1r, r%C3%A9gi%C3%B3, licenc, nyelvek, hosting %C3%A9s az, hogy mi van ellen%C5%91rizve. Ahol k%C3%A9t modell elt%C3%A9r, ez a t%C3%A1bl%C3%A1zat megmutatja a k%C3%BCl%C3%B6nbs%C3%A9get, %C3%A9s meg%C3%A1ll. Az LLM EU nem tesz k%C3%B6zz%C3%A9 gy%C5%91ztesjelv%C3%A9nyt az adott feladatra vonatkoz%C3%B3 dokument%C3%A1lt pontsz%C3%A1m n%C3%A9lk%C3%BCl, %C3%A9s a hi%C3%A1nyz%C3%B3 sz%C3%A1m hi%C3%A1nyz%C3%B3 marad ahelyett, hogy null%C3%A1v%C3%A1 v%C3%A1lna. ## Mikor %C3%A9rdemes haszn%C3%A1lni ### [gpt-oss-20b](/hu/models/gpt-oss-20b/) #### Er%C5%91ss%C3%A9gek - runs in about 16GB of memory - same 131,072-token window as the larger sibling - Apache-2.0 licence - reasoning-effort control #### Korl%C3%A1tok - quality clearly below the 120B model - harmony response format required - no evaluation has been run by LLM EU #### Feladatok [%C3%89rvel%C3%A9s](/hu/tasks/reasoning/), [Alacsony k%C3%B6lts%C3%A9g](/hu/tasks/cheap/), [K%C3%B3dol%C3%A1s](/hu/tasks/coding/), [Lek%C3%A9rdez%C3%A9s (RAG)](/hu/tasks/rag/) ### [gpt-oss-120b](/hu/models/gpt-oss-120b/) #### Er%C5%91ss%C3%A9gek - Apache-2.0 licence with no user threshold - runs on a single 80GB accelerator - configurable reasoning effort with full chain-of-thought access - native function calling, browsing and structured output #### Korl%C3%A1tok - requires the harmony response format; other prompt templates degrade it - 117B parameters must be resident even though only 5.1B are active - chain-of-thought output is not intended for end users #### Feladatok [%C3%89rvel%C3%A9s](/hu/tasks/reasoning/), [K%C3%B3dol%C3%A1s](/hu/tasks/coding/), [Lek%C3%A9rdez%C3%A9s (RAG)](/hu/tasks/rag/), [%C3%96sszefoglal%C3%A1s](/hu/tasks/summarization/) **Feladatok:** [%C3%89rvel%C3%A9s](/hu/tasks/reasoning/), [K%C3%B3dol%C3%A1s](/hu/tasks/coding/), [Lek%C3%A9rdez%C3%A9s (RAG)](/hu/tasks/rag/) ## Modellek %C3%B6sszehasonl%C3%ADt%C3%A1sa - [Command A+ (05-2026) vs gpt-oss-120b](/hu/compare/command-a-plus-05-2026-vs-gpt-oss-120b/) - [Command R (08-2024) vs gpt-oss-20b](/hu/compare/command-r-08-2024-vs-gpt-oss-20b/) - [DeepSeek Coder V2 Lite Instruct vs gpt-oss-20b](/hu/compare/deepseek-coder-v2-lite-instruct-vs-gpt-oss-20b/) - [DeepSeek R1 Distill Qwen 14B vs gpt-oss-20b](/hu/compare/deepseek-r1-distill-qwen-14b-vs-gpt-oss-20b/) - [DeepSeek-R1-Distill-Qwen-32B vs gpt-oss-20b](/hu/compare/deepseek-r1-distill-qwen-32b-vs-gpt-oss-20b/) - [DeepSeek V2 Lite vs gpt-oss-20b](/hu/compare/deepseek-v2-lite-vs-gpt-oss-20b/)