Title: GLM-4.7-Flash %E2%80%94 glm-4-7-flash Canonical: https://llmeu.com/mt/models/glm-4-7-flash/ Markdown mirror: https://llmeu.com/mt/models/glm-4-7-flash.md Machine-readable: https://llmeu.com/llms.txt (index) - https://llmeu.com/llms-full.txt (full catalogue) - https://llmeu.com/llms-catalogue.json Provider: Z.ai (Zhipu AI) Licence: mit Hosting: catalogue only %E2%80%94 not hosted on LLM EU yet Sources: https://huggingface.co/zai-org/GLM-4.7-Flash https://z.ai/blog/glm-4.7 # GLM-4.7-Flash [Z.ai (Zhipu AI)](/mt/providers/zai-org/) A%C4%A7%C4%A7ar revi%C5%BCjoni: 14 Ott 2026 ## Sovranit%C3%A0 u ospitar Dan il-mudell huwa kkatalgat g%C4%A7al referenza. G%C4%A7adu mhux ospitat fuq LLM EU, u l-ebda endpoint tal-ewwel parti ma jservih hawn. It-talbiet lejh imorru direttament g%C4%A7and il-fornitur, ta%C4%A7t it-termini tal-fornitur stess. ## Sommarju GLM-4.7-Flash huwa mudell ta' ta%C4%A7lita ta' esperti 30B-A3B bi 31.2B parametru, rilaxxat ta%C4%A7t il-li%C4%8Benzja MIT b'konfigurazzjoni massima ta' 202,752 token. Il-karta tal-mudell tirrapporta 91.6 fuq AIME 25 u 59.2 fuq SWE-bench Verified, b'tabella ta' paragun kontra Qwen3-30B-A3B-Thinking u gpt-oss-20b. Huwa po%C5%BCizzjonat b%C4%A7ala g%C4%A7a%C5%BCla ta' skjerament %C4%A7afif fil-klassi 30B. ## Spe%C4%8Bifikazzjonijiet - Fornitur Z.ai (Zhipu AI) (CN) - Tieqa tal-kuntest 203k - Parametri 31.22B - Modalitajiet text - Li%C4%8Benzja mit %C2%B7 [licence](https://opensource.org/license/mit) - Pi%C5%BCijiet miftu%C4%A7a yes - Data tar-rilaxx 19 Jan 2026 - Kompiti [Ra%C4%A1unament](/mt/tasks/reasoning/), [Ikkodifikar](/mt/tasks/coding/), [Spi%C5%BCa baxxa](/mt/tasks/cheap/), [Sommarizzazzjoni](/mt/tasks/summarization/) ## Lingwi **Qawwi:** en, zh **Adekwat:** de, fr, es, it, pt, ru, ja, ko #### Qawwi - en - zh #### Adekwat - de - fr - es - it - pt - ru - ja - ko Mhux verifikat: il-fornitur ma ddokumentax din id-dikjarazzjoni. %E2%80%94 a language is listed as strong only where a source claims it; the card links the evidence where one exists. ## Meta tu%C5%BCah #### Sa%C4%A7%C4%A7iet - MIT licence with a permissive commercial position - high published maths score for a 30B-class model - roughly 200K-token context window #### Limiti - benchmark table is self-reported by the vendor - English and Chinese are the only declared languages - no evaluation has been run by LLM EU ## Mistoqsijiet frequenti ### Is GLM-4.7-Flash 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 GLM-4.7-Flash released? GLM-4.7-Flash is recorded under mit. The recorded licence text is https://opensource.org/license/mit. 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 GLM-4.7-Flash, and what context window does it have? GLM-4.7-Flash is recorded at 31.2B (safetensors total 31,221,488,576); a 30B-A3B mixture of experts (source: https://huggingface.co/api/models/zai-org/GLM-4.7-Flash), with a context window of 202752 tokens (source: https://huggingface.co/zai-org/GLM-4.7-Flash/blob/main/config.json). ### Prezzijiet Dan il-mudell huwa kkatalgat g%C4%A7al referenza. G%C4%A7adu mhux ospitat fuq LLM EU, u l-ebda endpoint tal-ewwel parti ma jservih hawn. It-talbiet lejh imorru direttament g%C4%A7and il-fornitur, ta%C4%A7t it-termini tal-fornitur stess. ### Status ta' verifika Fejn qasam m'g%C4%A7andux sors, il-kard turih b%C4%A7ala mhux verifikat minflok ma timlih. Qasam vojt huwa informazzjoni. LLM EU Verified ifisser dokumentat, mhux i%C4%8B%C4%8Bertifikat legalment. Mhuwiex valutazzjoni ta' konformit%C3%A0 mal-AI Act u LLM EU mhuwiex korp tal-UE. ### Ver%C5%BCjonijiet u varjanti - catalogue %C2%B7 Katalgu biss %C2%B7 [weights](https://huggingface.co/zai-org/GLM-4.7-Flash) ### E%C5%BCempju ta' talba ``` curl https://api.llmeu.com/v1/chat/completions \ -H "Authorization: Bearer $LLMEU_API_KEY" \ -H "Content-Type: application/json" \ -d '{"model":"glm-4-7-flash","messages":[{"role":"user","content":"Hello"}]}' ``` L-ebda playground mhuwiex deplojat g%C4%A7al dan il-mudell: l-ebda endpoint ma jservih, allura rikjesta ma jkollha fejn tmur. ### Benchmarks - AIME 25: **91.6 (vendor-reported)** [source](https://huggingface.co/zai-org/GLM-4.7-Flash) - GPQA: **75.2 (vendor-reported)** [source](https://huggingface.co/zai-org/GLM-4.7-Flash) - SWE-bench Verified: **59.2 (vendor-reported)** [source](https://huggingface.co/zai-org/GLM-4.7-Flash) - LiveCodeBench v6: **64.0 (vendor-reported)** [source](https://huggingface.co/zai-org/GLM-4.7-Flash) - %CF%84%C2%B2-Bench: **79.5 (vendor-reported)** [source](https://huggingface.co/zai-org/GLM-4.7-Flash) ### Sorsi - [huggingface.co](https://huggingface.co/zai-org/GLM-4.7-Flash) - [z.ai](https://z.ai/blog/glm-4.7) ### Re%C4%A1istru tal-bidliet tal-karta - 19 Jan 2026 %E2%80%94 Data tar-rilaxx - 14 Ott 2026 %E2%80%94 A%C4%A7%C4%A7ar revi%C5%BCjoni A%C4%A7%C4%A7ar revi%C5%BCjoni: 14 Ott 2026 ### Kompiti - [Ikkodifikar](/mt/tasks/coding/) - [Spi%C5%BCa baxxa](/mt/tasks/cheap/) - [Sommarizzazzjoni](/mt/tasks/summarization/)