--- format: "aidr-story-markdown/v1" id: "98d961a92517e46193d6648129f19d440c11cb389d9a70a708614099773dfe8f" canonical_url: "https://aidr.today/98d961a9?lang=en" title: "AntLingAGI Debuts No. 2 Open Weights Model for Mobile Apps" lang: "en" requested_lang: "en" available_langs: ["en","vi"] translation_fallback: null fallback_fields: [] published_at: "2026-09-30T18:23:54.000Z" category: "Models" topics: ["open-source","antlingagi","ling-3-1","llm","healthcare","coding"] source_urls: ["https://marketbrief.now/ai/antlingagi-debuts-no-2-open-weights-model-for-mobile-apps-aa446aec","https://huggingnews.com/ai/antlingagi-debuts-no-2-open-weights-model-for-mobile-apps-aa446aec","https://huggingnews.com/ai/antlingagi-makes-no-2-open-mobile-model-free-on-opencode-02e5a063","https://marketbrief.now/ai/antlingagi-makes-no-2-open-mobile-model-free-on-opencode-02e5a063"] summary: "The new AI model from AntLingAGI achieved a 1,207 Elo rating and a 17th place overall ranking on the Design Arena's leaderboard for app development. Ling-3.1-flash ranks as the No. 2 open-weights model in that category, demonstrating specific proficiency in creating games and mobile productivity trackers with performance comparable to Opus 4.6. It also recorded a 1,673 Elo on GDPVal-AA v2.1, 75.16 on FrontierSWE, and 65.35 on HealthBench Professional. AntLingAGI plans to open-source the model, which features approximately 560B total parameters and 25B active parameters per token with a 1M-token context window. While benchmark scores on key tests are close to GPT-5.6 sol and Opus 5, some analysts have noted that the model has not yet been compared to more recent versions such as Opus 5.5 or GPT-6.1 sol." --- # AntLingAGI Debuts No\. 2 Open Weights Model for Mobile Apps > [Open the canonical story]() **Published:** 2026-09-30T18:23:54.000Z **Category:** Models **Topics:** open\-source, antlingagi, ling\-3\-1, llm, healthcare, coding ## Summary The new AI model from AntLingAGI achieved a 1,207 Elo rating and a 17th place overall ranking on the Design Arena's leaderboard for app development\. Ling\-3\.1\-flash ranks as the No\. 2 open\-weights model in that category, demonstrating specific proficiency in creating games and mobile productivity trackers with performance comparable to Opus 4\.6\. It also recorded a 1,673 Elo on GDPVal\-AA v2\.1, 75\.16 on FrontierSWE, and 65\.35 on HealthBench Professional\. AntLingAGI plans to open\-source the model, which features approximately 560B total parameters and 25B active parameters per token with a 1M\-token context window\. While benchmark scores on key tests are close to GPT\-5\.6 sol and Opus 5, some analysts have noted that the model has not yet been compared to more recent versions such as Opus 5\.5 or GPT\-6\.1 sol\. ## Sources - [Story source]() - [Story source]() - [Story source]() - [Story source]()