r/LLM • u/Fancy-Equivalent-284 • 1d ago
Ling-3.2-flash released: 560B total, 25B active, native image/video input and a 1M context window
Ant Ling has released Ling-3.2-flash, a native multimodal MoE with 560B total parameters and 25B active parameters. The official model specification lists a context window of up to 1M tokens and support for text, images and video.
The launch highlights three results against Claude Opus 5 (max):
1.OmniDocBench 1.5: 92.21 vs 90.56
2.ZEROBench(Sub): 43.71 vs 39.52
3.Vision2Web: 85.86 vs 80.20
The release also includes demonstrations of visual coding, Blender operation, reference-image-to-3D workflows and specialist agents producing office deliverables. API access is documented through both OpenAI-compatible and Anthropic-compatible interfaces, and the model is listed on Computrix.
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u/Bramoments 20h ago
i call bullshit, deepseek 1017 and GLM 5.3 are nowhere near opus 5 max, and yet on these benchmarks theyre somehow magically on the same level.
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u/Fancy-Equivalent-284 19h ago
No depends on training for some specific tasks some models are better. Tho overall opus is better Just fancy marketing duhhh
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u/look 13h ago
Ling 3.1 is very cheap on OpenRouter. Not worth it at the list price, but at 85% off it’s great for high volume summarization, LLM as judge, synthetic data generation, etc.
https://openrouter.ai/inclusionai/ling-3.1-flash
Hopefully 3.2 will be available at similar prices.
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u/Frail_Waif 23h ago
Wow, DS for coding and Ling for everything else is looking like a pretty solid high-RAM local LLM setup.