Model ID
inclusionAI/Ling-3.0-flash-VL
Capabilities
Ling 3.0 Flash VL
Ling 3.0 Flash VL is a native multimodal Mixture-of-Experts model designed for visual reasoning, agentic workflows, and real-world task execution across images and videos. It features 124B total parameters with 5.5B activated per token, using a 42-layer hybrid backbone with 2,560 hidden size, 32 attention heads, and 32 KV heads. The architecture combines KDA and Gated MLA layers in a 5:1 ratio, with 512 experts activating 8 per token alongside shared experts. Its ViT encoder and two-layer projector integrate visual features, supporting up to 256K-token context for multimodal understanding, reasoning, and action.
About this model
Ling 3.0 Flash VL is a native multimodal Mixture-of-Experts model designed for visual reasoning, agentic workflows, and real-world task execution across images and videos. It features 124B total parameters with 5.5B activated per token, using a 42-layer hybrid backbone with 2,560 hidden size, 32 attention heads, and 32 KV heads. The architecture combines KDA and Gated MLA layers in a 5:1 ratio, with 512 experts activating 8 per token alongside shared experts. Its ViT encoder and two-layer projector integrate visual features, supporting up to 256K-token context for multimodal understanding, reasoning, and action.
Model specifications and capabilities are published by the model author and reproduced here from HF Model Card (inclusionAI/Ling-3.0-flash-VL). Released under MIT. Further reading: Blog
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Hardware
B200
1,440 GB
Engine
vLLM
SGLang
Deployment code
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Performance under load
Tokens/s (total)
Benchmarks measured by Vultr on B200 · SGLang. Throughput and latency vary with concurrency, input length and engine configuration, so treat these as a comparison baseline, not a service guarantee.
NVIDIA HGX B200
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