inclusionAIListed 5 days ago
Ling-3.1-flash
Switch reasoning on or off; hybrid linear attention and multi-token prediction support long-context self-hosted inference.
262.1K contextOpen weightsTool callingNo reported score
No reported score
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inclusionaiListed 15 days ago
inclusionAI: Ling 3.1 Flash
Ling 3.1 Flash is a hybrid reasoning mixture-of-experts model from inclusionAI, with 25B active parameters out of 560B total.
262.1K contextTool callingStructured outputNo reported score
No reported score
inclusionAIReleased 26 days ago
Ming-Image-0.1-Design
Design-native, open-weight text-to-image (6B) — ranked #1 among open-weight models on Artificial Analysis's UI/UX Design leaderboard. Renders legible UI and poster text plus cohesive graphics, illustration…
Open weights
Price not listed
inclusionAIListed 30 days ago
Ming-Image-0.1-Design-Layer
Splits a flattened design into editable RGBA PNG layers using a layer plan or requested count; MIT-licensed weights.
No reported score
No reported score
Price not listed
inclusionAIListed Sep 4
Ling-3.0-flash-VL
The multimodal version built on Ling-3.0-flash — 124B total / ~5.5B active per token, with native text, image, and video understanding. It’s mainly designed for multimodal agentic workflows, long-context…
262.1K contextImage inputVideo inputNo reported score
No reported score
No reported score
inclusionaiListed Jul 23
inclusionAI: Ling 3.0 Flash
*Ling-3.0-flash* is a *124B-parameter Mixture-of-Experts (MoE) model*, with approximately *5.1B parameters activated per token*. The model is designed with *token efficiency and production-scale agentic…
262.1K contextTool callingStructured outputNo reported score
No reported score