Title: Gemma 4 31B IT %E2%80%94 gemma-4-31b-it Canonical: https://llmeu.com/pt/models/gemma-4-31b-it/ Markdown mirror: https://llmeu.com/pt/models/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 Provider: Google DeepMind Licence: apache-2.0 Hosting: catalogue only %E2%80%94 not hosted on LLM EU yet Sources: https://huggingface.co/google/gemma-4-31B-it https://ai.google.dev/gemma/docs/gemma_4_license # Gemma 4 31B IT [Google DeepMind](/pt/providers/google/) %C3%9Altima revis%C3%A3o: 14/10/2026 ## Soberania e alojamento Este modelo est%C3%A1 catalogado para refer%C3%AAncia. Ainda n%C3%A3o est%C3%A1 alojado na LLM EU, e nenhum endpoint pr%C3%B3prio o serve aqui. Os pedidos s%C3%A3o encaminhados diretamente para o fornecedor, sob os termos desse fornecedor. ## Resumo Gemma 4 31B (gemma-4-31b-it) %C3%A9 o maior modelo Gemma 4 ajustado por instru%C3%A7%C3%B5es, com 31.3B par%C3%A2metros sob Apache-2.0. Aceita texto e imagens numa janela de contexto de 256K tokens, e a ficha relata 85.2% no MMLU Pro, 84.3% no GPQA Diamond e 88.4% no MMMLU, todos relatados pelo fornecedor; servi-lo em BF16 requer um acelerador de grande mem%C3%B3ria. ## Especifica%C3%A7%C3%B5es - Fornecedor Google DeepMind (US) - Janela de contexto 262k - Par%C3%A2metros 31.27B - Modalidades text, vision - Licen%C3%A7a apache-2.0 %C2%B7 [licence](https://ai.google.dev/gemma/docs/gemma_4_license) - Pesos abertos yes - Data de lan%C3%A7amento 11/03/2026 - Tarefas [Vis%C3%A3o](/pt/tasks/vision/), [Racioc%C3%ADnio](/pt/tasks/reasoning/), [Suporte multilingue](/pt/tasks/multilingual-support/), [Codifica%C3%A7%C3%A3o](/pt/tasks/coding/), [Sumariza%C3%A7%C3%A3o](/pt/tasks/summarization/) ## Idiomas **Forte:** en, de, fr, es, it, pt **Adequado:** nl, pl, sv, cs, ro, el, uk, ru, ar, hi, zh, ja, ko, tr #### Forte - en - de - fr - es - it - pt #### Adequado - nl - pl - sv - cs - ro - el - uk - ru - ar - hi - zh - ja - ko - tr N%C3%A3o verificado: o fornecedor n%C3%A3o documentou esta afirma%C3%A7%C3%A3o. %E2%80%94 a language is listed as strong only where a source claims it; the card links the evidence where one exists. ## Quando usar #### Pontos fortes - 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 #### Limita%C3%A7%C3%B5es - 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 ## Perguntas frequentes ### Is Gemma 4 31B IT served on LLM EU? It has no endpoint in the catalogue, so it is catalogue only %E2%80%94 not hosted on LLM EU yet, with no region and no retention to report. A card whose status is "listed" is a catalogue entry, not a running deployment. ### Under what licence is Gemma 4 31B IT released? Gemma 4 31B IT is recorded under apache-2.0. The recorded licence text is https://ai.google.dev/gemma/docs/gemma_4_license. The weights are downloadable (open_weights is true). LLM EU republishes the licence id and the link and gives no legal advice; the licence text governs. ### How large is Gemma 4 31B IT, and what context window does it have? Gemma 4 31B IT is recorded at 31.3B (safetensors total 31,273,088,876) (source: https://huggingface.co/api/models/google/gemma-4-31B-it), with a context window of 262144 tokens (source: https://huggingface.co/google/gemma-4-31B-it). ### Pre%C3%A7os Este modelo est%C3%A1 catalogado para refer%C3%AAncia. Ainda n%C3%A3o est%C3%A1 alojado na LLM EU, e nenhum endpoint pr%C3%B3prio o serve aqui. Os pedidos s%C3%A3o encaminhados diretamente para o fornecedor, sob os termos desse fornecedor. ### Estado de verifica%C3%A7%C3%A3o Quando um campo n%C3%A3o tem fonte, o cart%C3%A3o mostra-o como n%C3%A3o verificado em vez de o preencher. Um campo vazio %C3%A9 informa%C3%A7%C3%A3o. LLM EU Verified significa documentado, n%C3%A3o certificado legalmente. N%C3%A3o %C3%A9 uma avalia%C3%A7%C3%A3o de conformidade com o AI Act e a LLM EU n%C3%A3o %C3%A9 um organismo da UE. ### Vers%C3%B5es e variantes - catalogue %C2%B7 Apenas cat%C3%A1logo %C2%B7 [weights](https://huggingface.co/google/gemma-4-31B-it) ### Exemplo de pedido ``` curl https://api.llmeu.com/v1/chat/completions \ -H "Authorization: Bearer $LLMEU_API_KEY" \ -H "Content-Type: application/json" \ -d '{"model":"gemma-4-31b-it","messages":[{"role":"user","content":"Hello"}]}' ``` N%C3%A3o h%C3%A1 playground implementado para este modelo: nenhum endpoint o serve, por isso um pedido n%C3%A3o teria para onde ir. ### Benchmarks - MMLU Pro: **85.2% (vendor-reported)** [source](https://huggingface.co/google/gemma-4-31B-it) - GPQA Diamond: **84.3% (vendor-reported)** [source](https://huggingface.co/google/gemma-4-31B-it) - AIME 2026, no tools: **89.2% (vendor-reported)** [source](https://huggingface.co/google/gemma-4-31B-it) - LiveCodeBench v6: **80.0% (vendor-reported)** [source](https://huggingface.co/google/gemma-4-31B-it) - MMMLU (multilingual MMLU): **88.4% (vendor-reported)** [source](https://huggingface.co/google/gemma-4-31B-it) ### Fontes - [huggingface.co](https://huggingface.co/google/gemma-4-31B-it) - [ai.google.dev](https://ai.google.dev/gemma/docs/gemma_4_license) ### Hist%C3%B3rico de altera%C3%A7%C3%B5es do cart%C3%A3o - 11/03/2026 %E2%80%94 Data de lan%C3%A7amento - 14/10/2026 %E2%80%94 %C3%9Altima revis%C3%A3o %C3%9Altima revis%C3%A3o: 14/10/2026 ### Tarefas - [Vis%C3%A3o](/pt/tasks/vision/) - [Sumariza%C3%A7%C3%A3o](/pt/tasks/summarization/)