Ant Group

Models & products

Models

Ling-3.0-Flash

Subsidiaries

Inclusion AI

Trends

• Multimodal understanding and generation merge into single models
• Agent benchmarks expose reliability gaps and lose trust
• Chinese labs take the lead in open-weight models

Items

1. Jul 27

   Ant Group's Ling-3.0-Flash

   A 124B-parameter (5.1B active) hybrid linear-attention MoE built as a fast, low-cost agent execution node, with a 256K native context scaling to 1M tokens, offered free via API for a week ahead of an open-weight release.

2. Jun 1

   Executable games expose weak belief revision

   A benchmark of 474 executable games frames reasoning as evidence gathering under partial observability; frontier models handle clean tasks (Gemini-3.1-pro 74.2%) but drop sharply under counterfactual revision (to 57.6%) and necessity-judgment pruning.

3. Apr 22

   Inclusion AI's LLaDA2.0-Uni

   A single discrete-diffusion LLM with a MoE backbone matches specialized VLMs on multimodal understanding while generating and editing high-fidelity images, the first open architecture for natively interleaved generation and reasoning.