Ant Lingling releases Ling 3.2 Flash model with 1M context and limited-time free API
11/06/2026 — 11/06, 08:14·1 sources (all)·1 reports (all)
Key takeaways
- Ant Lingling has officially released the native multimodal model Ling-3.2-flash, featuring 560B total parameters and a 1M context window. Th…
Background & analysis
On November 6, 2026, Ant Ling officially announced the launch of Ling-3.2-flash, a native multimodal model with 560B total parameters, 25B active parameters, and a 1M context window. Built with native vision-language integration, it accepts image, text, and video inputs and targets four key capabilities: complex visual understanding, multimodal long-horizon Agent tasks, 3D understanding and interaction, and medical multimodal applications. According to Ant's own benchmark results, Ling-3.2-flash outperforms Anthropic Claude Opus 5 (max) on three benchmarks: 92.21 versus 90.56 on OmniDocBench1.5, 43.71 versus 39.52 on ZEROBench (Sub), and 85.86 versus 80.20 on Vision2Web. In the DesignArena image-to-frontend arena, the model reached the top ten with an Elo score of 1238, ranking alongside competitors such as Meta, DeepSeek, and Anthropic. The model's API is now available through the Ant Bailian platform, offering a two-week limited-time free trial.
AI-generated from 1 reports · updated 1 hour ago
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Ant Group has released Ling-3.2-flash, a native multimodal model featuring 560B total parameters and a 1M context window. The model excels in long-range agent tasks and 3D interaction, outperforming Claude Opus 5 on multiple benchmarks. It is now available via the Ant Bailian platform with a two-week free trial.
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