Ant's Ling 3.0 Tiny Activates Only 1.3B of 7.9B Params for Agents
truecakesnake · reddit · 2026-08-07
InclusionAI, a lab under Ant Group, has released Ling 3.0 Tiny. The model has a total of 7.9B parameters but only activates about 1.3B per token, specifically targeting multi-turn agent workflows.
Key Specs & Availability:
- Supports 256K context length with up to 32K output tokens.
- Features native function calling, prompt caching, and a toggle between thinking and instant modes to reduce latency.
- Closed Source: Currently offered only as a hosted API via Vercel, OpenRouter, etc. No weights are available for self-hosting.
Industry Implications: As activated parameter counts drop, the cost of the middle-layer models in agent architectures approaches zero, turning model selection from an architectural decision into a cheap commodity purchase.
Related event: AntLingAGI Releases Ling-3.0-tiny Native Hybrid Reasoning Model(2 posts)→
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