Title: Gemma 4 12B It vs Gemma 4 31B IT: Parametrit, Lisenssi %E2%80%94 LLM EU Canonical: https://llmeu.com/fi/compare/gemma-4-12b-it-vs-gemma-4-31b-it/ Markdown mirror: https://llmeu.com/fi/compare/gemma-4-12b-it-vs-gemma-4-31b-it.md Machine-readable: https://llmeu.com/llms.txt (index) - https://llmeu.com/llms-full.txt (full catalogue) - https://llmeu.com/llms-catalogue.json # Gemma 4 12B It vs Gemma 4 31B IT Aseta kaksi tai nelj%C3%A4 mallia vierekk%C3%A4in kentille, jotka ratkaisevat k%C3%A4ytt%C3%B6%C3%B6noton: konteksti, hinta, alue, lisenssi, kielet, is%C3%A4nn%C3%B6inti ja mik%C3%A4 on vahvistettu. Kun kaksi mallia eroavat, t%C3%A4m%C3%A4 taulukko n%C3%A4ytt%C3%A4%C3%A4 eron eik%C3%A4 jatka pidemm%C3%A4lle. LLM EU ei julkaise voittajamerkki%C3%A4 ilman dokumentoitua pisteytyst%C3%A4 kyseiselle teht%C3%A4v%C3%A4lle, ja puuttuva luku pysyy puuttuvana sen sijaan, ett%C3%A4 siit%C3%A4 tulisi nolla. ## Milloin k%C3%A4ytt%C3%A4%C3%A4 ### [Gemma 4 12B It](/fi/models/gemma-4-12b-it/) #### Vahvuudet - open weights are published on Hugging Face and can be downloaded without a vendor agreement - Apache-2.0 licence, so commercial self-hosting is permitted without a separate agreement - at 12B parameters it fits on a single accelerator - instruction-tuned checkpoint with a chat template in the repository - speech recognition runs locally, so audio never leaves the operator premises #### Rajoitukset - 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 12B parameters, self-hosting needs a single accelerator with enough memory for the weights - vision checkpoints are heavier to serve than their parameter count alone suggests, because the image encoder and pre-processing run alongside the language model #### Teht%C3%A4v%C3%A4t [Monikielinen tuki](/fi/tasks/multilingual-support/), [Kuvapohjaiset teht%C3%A4v%C3%A4t](/fi/tasks/vision/), [Yhteenveto](/fi/tasks/summarization/) ### [Gemma 4 31B IT](/fi/models/gemma-4-31b-it/) #### Vahvuudet - Apache-2.0 licence, unlike earlier Gemma generations - 256K-token context window - text and image input with variable resolution - vendor reports multilingual coverage in over 140 languages #### Rajoitukset - all published scores are self-reported by the vendor - 31B parameters need a large-memory accelerator at BF16 - no evaluation has been run by LLM EU #### Teht%C3%A4v%C3%A4t [Kuvapohjaiset teht%C3%A4v%C3%A4t](/fi/tasks/vision/), [P%C3%A4%C3%A4ttely](/fi/tasks/reasoning/), [Monikielinen tuki](/fi/tasks/multilingual-support/), [Koodaus](/fi/tasks/coding/), [Yhteenveto](/fi/tasks/summarization/) **Teht%C3%A4v%C3%A4t:** [Monikielinen tuki](/fi/tasks/multilingual-support/), [Kuvapohjaiset teht%C3%A4v%C3%A4t](/fi/tasks/vision/), [Yhteenveto](/fi/tasks/summarization/) ## Vertaa malleja - [Aya 23 8B vs Gemma 4 12B It](/fi/compare/aya-23-8b-vs-gemma-4-12b-it/) - [Aya Expanse 8B vs Gemma 4 12B It](/fi/compare/aya-expanse-8b-vs-gemma-4-12b-it/) - [Command R (08-2024) vs Gemma 4 31B IT](/fi/compare/command-r-08-2024-vs-gemma-4-31b-it/) - [DeepSeek Coder V2 Lite Instruct vs Gemma 4 31B IT](/fi/compare/deepseek-coder-v2-lite-instruct-vs-gemma-4-31b-it/) - [DeepSeek-R1-Distill-Qwen-32B vs Gemma 4 31B IT](/fi/compare/deepseek-r1-distill-qwen-32b-vs-gemma-4-31b-it/) - [DeepSeek V2 Lite vs Gemma 4 31B IT](/fi/compare/deepseek-v2-lite-vs-gemma-4-31b-it/)