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AI CURATED HOT STORY · 11/6/2026

Ant Group Releases Ling 3.2 Flash Multimodal Model, Topping Claude Opus 5 on Three Benchmarks

1 reports archived1 independent sourcesupdated 11/6/2026, 08:00:05
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Ant Group's Ling team released Ling-3.2-flash, a natively multimodal model built on a 560B-total / ~25B-active MoE architecture with a 1M context window and image, text and video input. In vendor-run tests it beats Claude Opus 5 on OmniDocBench1.5, ZEROBench and Vision2Web, and enters the DesignArena image-to-frontend top ten at 1238 Elo. API pricing is $0.30 per million input tokens and $0.90 per million output tokens, compatible with OpenAI and Anthropic protocols, and free for the first two weeks.

LATEST/Ant Group's Ling team released Ling-3.2-flash, a natively multimodal model built on a 560B-total / ~25B-active MoE architecture with a 1M context window and image, text and video input. In vendor-run tests it beats Claude Opus 5 on OmniDocBench1.5, ZEROBench and Vision2Web, and enters the DesignArena image-to-frontend top ten at 1238 Elo. API pricing is $0.30 per million input tokens and $0.90 per million output tokens, compatible with OpenAI and Anthropic protocols, and free for the first two weeks.

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Total 1 reports · Latest first
  1. IT之家 · 智能时代T2·78 pts

    Ant Group Releases Ling 3.2 Flash Multimodal Model, Topping Claude Opus 5 on Three Benchmarks

    • A 560B-total / ~25B-active MoE design balances knowledge capacity against per-step inference cost, with a 1M context window.
    • Vendor-run benchmarks show gains over Claude Opus 5 on three tasks, but no independent reproduction is available yet.
    • The API is compatible with OpenAI and Anthropic protocols at $0.30 per million input tokens, free for the first two weeks.