What shipped in AI.

Ling 3.2 Flash is a hybrid reasoning model from inclusionAI that accepts text and image input, with a 1M-token context window and up to 200 images per request. Thinking can...

Ling3-Tiny-UBTree-B16 is a UBTree speculative-decoding draft model for inclusionAI/Ling-3.0-tiny. It combines a five-layer DFlash backbone with a learned bigram selector to propose multiple candidate continuations for target-model verification.

A compact speech recognition model for Chinese and English that can use hotwords or preceding dialogue to recognize domain-specific terms. The modelcard also reports evaluation on 15 regional dialect test sets, including Cantonese, Minnan and Shanghainese.

Ling3-Flash-UBTree-B16 is a UBTree speculative-decoding draft model for inclusionAI/Ling-3.0-flash. It combines a five-layer DFlash backbone with a learned bigram selector to propose multiple candidate continuations for target-model verification.

Ling-3.1-flash-1019 is an upgraded Ling-3.1-flash with 560B total and 25B active parameters, aimed at reasoning and agentic workflows. The model card reports the Artificial Analysis Intelligence Index rising from 41 to 44.

Speech synthesis model for seven languages that clones a voice from a short reference clip (zero-shot) or designs one from a text description. It also supports style control, inline non-verbal tags and Sichuanese and Cantonese dialect control.

Text-to-speech model with zero-shot voice cloning from a short reference clip, voice design from a text description, and inline tags for breath, laughter or cough. It covers seven languages plus Sichuanese and Cantonese. Inference requires the separate GitHub repository.

Text-to-image model with 6B parameters for UI, infographics, posters and other text-rich designs. It generates complete compositions and can output RGBA images with transparent backgrounds.

Decomposes a flattened design image into a requested number of transparent RGBA layers, guided by an input image and a layer plan. The recommended setup is 1024 working resolution, 12 sampling steps, and one CUDA GPU with 80 GiB VRAM.

Realtime-Venus is a 9B audio-visual model for full-duplex voice dialogue. It keeps listening and watching while it speaks, handles interruptions, and can start a response when an event in the video or audio warrants one.

A multimodal model that reads screenshots at native resolution and outputs normalized coordinates or structured GUI actions for mobile, desktop, and web. It decodes block by block via diffusion instead of token by token.

Mixture of Experts diffusion language model aimed at agentic work such as tool calling and multi-turn use, with up to 128K tokens of context. It activates 1.4B of its 16B parameters and uses Levenshtein editing with DELETE and INSERT tokens for error correction.

Multimodal model with 124B total parameters and 5.5B active per token. It accepts image and video input and is aimed at agent tasks that involve reading web and software interfaces. The model card reports 42 on the Artificial Analysis Intelligence Index v4.1.1.

Ling 3.0 Flash Sante is a health and medicine-focused mixture-of-experts model from InclusionAI, built on Ling 3.0 Flash with 5.1B active parameters out of 124B total. It is designed for...

A single model for text-to-image generation and instruction-guided image editing, with Chinese and English text rendering. The Turbo variant is a distilled version that the model card says runs in 2 to 4 sampling steps.

Ling-3.0-flash-Fin is a finance-tuned mixture-of-experts model for multi-step financial research, source-grounded search, and spreadsheet and valuation work with tool use. The model card reports competitiveness with similarly sized models, with particular strength in source selection and tool-intensive financial tasks.

SingProbe is a lightweight streaming guardrail for Ling-3.0-tiny. It scores query intent, response unsafety and hallucination risk per token from the base model's hidden states, with under 0.5% decode overhead.

SingProbe is an intrinsic streaming guardrail for Ling-3.0-flash that scores query intent, response unsafety and hallucination risk at every generated token. It reuses the base model's hidden states and adds under 0.5% decode overhead.

Agent-oriented diffusion language model with Levenshtein Editing for tool use over a 128K context, multi-turn interaction and error correction. The model card reports 49.28 on SWE-bench Verified and 80.33 on τ²-Bench.

VISTA-9B is a vision-language model for GUI grounding that maps a screenshot and an instruction to a click coordinate in a 0-1000 frame. The model card reports 68.1 on OSWorld-G, against 63.1 for its Qwen3.5-9B base model.

Ant Group's (Alipay's parent) 1-trillion-parameter MoE model — Apache 2.0. Extremely cheap on OpenRouter ($0.075/$0.625 per MTok). 472 likes on HF despite barely any Western coverage.