Ming-3.0 gives @aijoey’s local home assistant its ears and voice, with DeepSeek handling the reasoning. 🏠 Thanks for sharing, Joey! Great to see open models working together in everyday life. Looking forward to the repo!

Great to see Ming-3.0-tts-0.5B running locally on an RTX 3090! In @ItsmeAjayKV’s test, a 5-second sample of his own voice was enough for cloning—even with fan noise in the recording. 🫶 Thanks for sharing, AJ! We’d love to see what you build next.

Excited to bring Ling-3.1-flash-1019 to more builders with @novita_labs! 🚀 Thanks for your support, @opencode @NousResearch @kilocode @vercel @CommandCodeAI @concentrateai! Stronger reasoning and real-world agent performance. Try it on Novita and show us what you build!

Now open source: Ling-3.1-flash-1019. 44 on the Artificial Analysis Intelligence Index v4.3.2, up from 41 for Ling-3.1-flash. Also releasing Ling-3.1-flash-base, an open foundation for further training.

Introducing Ling-3.1-flash-1019 🚀 It scores 44 on the Artificial Analysis Intelligence Index, up from 41 for Ling-3.1-flash. Gains in agentic work: AA-Briefcase ~1400→1524 Elo and AutomationBench-AA 62%→68%. API access and open weights coming soon. Stay tuned.

Ling-3.1-flash is now open source: ~560B total parameters, ~25B active per token and up to 1M context. Built for real work, it can turn a rough brief into a page, mobile UI or interactive prototype teams can review and refine. See the demo.

Quite a delight to see such a wonderful video on Saturday morning! Thanks to @DesignArena 's top-notch expert network and thorough eval, it demonstrates what Ling-3.1-flash can do well in a cohesive and full-of-taste manner. 🥰🥰 Limited time free on OR/Vercel and our day0 partners! Enjoy while it lasts!

User: For a design agency, complete 3D SVG iconography of 100+ icons. Ling-3.1-flash: 1,000+ shapes GPT-5.6 Sol: under 200 Ling-3.1-flash is the new model from @AntLingAGI, and we found three massive strengths from their model in our blind votes: detailed SVGs, animated SVGs, and entire mobile apps. Full film below! Try out

Ling-3.1-flash by @AntLingAGI is live on AI/ML API ⚡ 560B MoE with ~25B active per token. Up to 1M context. Built for agents, coding and long documents. Free to try until October 13 on

Ling 3.1 Flash makes large gains in intelligence over its predecessor, scoring 41 on the Artificial Analysis Intelligence Index with particular improvement in agentic capabilities @AntLingAGI has released Ling 3.1 Flash, a reasoning model with 560B total parameters, 25B active parameters, and a 1M token context window. It scores 41 on the Artificial Analysis Intelligence Index v4.3, up from 20 from Ling 3.0 Flash, which launched in August. Ling 3.1 Flash is expected to be open weights, with Ant Group releasing the weights soon. Key results: ➤ Ling 3.1 Flash improves agentic capabilities over its predecessor. With a GDPval-AA v2 Elo of 1,622 and an AA-Briefcase Elo of 1,400, the model rivals peer models such as GLM-5.3-Flash, Gemini 3.8 Flash (high) and DeepSeek V4.1 Flash (Max). Ling 3.1 Flash also shows notable gains on AutomationBench-AA (62%) and Terminal-Bench v4.0 (33%). ➤ Ling 3.1 Flash scores +2 on AA-Omniscience, a 22 point improvements from Ling 3.0 Flash (-18). Compared to its predecessor, its accuracy rate rose from 18% to 29% while the hallucination rate fell from 44% to 38% at a similar attempt rate (56% to 58%), demonstrating the gain comes primarily from knowing more, not abstaining more. For comparison, DeepSeek V4.1 Flash (Max) has a hallucination rate of 97%. ➤ Ling 3.1 Flash is a larger model than its predecessor, priced accordingly, but more token efficient. It has 560B total and 25B active parameters, up from 124B and 5.1B for Ling 3.0 Flash, and is priced at $0.30 / $0.90 per 1M input / output tokens, up from $0.075 / $0.22. It used 218M output tokens to run the Intelligence Index, 16% fewer than Ling 3.0 Flash (261M). ➤ Ling 3.1 Flash has a higher cost per task than some peers, but remains in the most attractive quadrant. Ling 3.1 Flash costs $0.99 per task, well above GLM-5.3-Flash ($0.42) and DeepSeek V4.1 Flash (Max, $0.32) but below Gemini 3.8 Flash (High) at $1.24. Additional model details: ➤ Size: 560B total parameters, 25B active ➤ Context window: 1M tokens ➤ Pricing: $0.30 per 1M input tokens and $0.90 per 1M output tokens, with cached input at $0.06 per 1M (80% discount) ➤ Availability: Accessible through Novita AI, with weights coming soon

inclusionAI's Ming-Image-0.1-Design is the #1# open weights model for UI/UX Design on the Artificial Analysis Text to Image Leaderboard, ranking #17# amongst all models in the category Ming-Image-0.1-Design is a 6B parameter Text to Image model from inclusionAI, Ant Group's AI initiative. It is built for UI, infographics, posters and other text-rich visual designs, supports RGBA output with transparent backgrounds, and is released with open weights under the MIT licence. We evaluated it at 2K resolution with 12 inference steps, the settings inclusionAI recommends. Ming-Image-0.1-Design stands out in our evaluation of UI/UX design capabilities for Text to Image models. It ranks #17# of 81 models in UI/UX Design, compared with #45# of 160 on the overall Text to Image Leaderboard. Among open weights models, it is the new leading model for UI/UX Design use cases. Congratulations to @AntLingAGI on the release! See below for our analysis and example outputs of Ming-Image-0.1-Design in the Artificial Analysis Image Arena 🧵

Ling 3.1 Flash from @AntLingAGI is on AI Gateway, free through Oct 13. Built for coding and multi-step analysis. 𝚒𝚗𝚌𝚕𝚞𝚜𝚒𝚘𝚗𝚊𝚒/𝚕𝚒𝚗𝚐-𝟹.𝟷-𝚏𝚕𝚊𝚜𝚑

Meet Ling-3.1-flash: ~560B total params, ~25B active/token, up to 1M-token context. We plan to open-source the model soon. Across work, coding & healthcare: 1,673 Elo on GDPVal-AA v2.1, 75.16 on FrontierSWE, and 65.35 on HealthBench Professional.