Ling 3.0 Tiny is a mixture-of-experts model from InclusionAI, with 1.3B active parameters out of 7.9B total. It is designed for responsive agents, instruction following, and multi-turn conversations, with switchable...
With CoreAI, you can start chatting with inclusionAI: Ling 3.0 Tiny (free) instantly — no separate subscription needed. CoreAI lets you chat with inclusionAI: Ling 3.0 Tiny (free) alongside 300+ other AI models from Inclusionai and other providers like OpenAI, Anthropic, Google, Meta, and more.
inclusionAI: Ling 3.0 Tiny (free) holds the #155 spot for context size out of 386 chat models in the CoreAI catalog — 262K tokens, roughly 196,608 words or 393 pages of text in a single conversation. Released 2026-08-06, it is one of the 5 newest additions to the catalog. It supports step-by-step reasoning (thinking mode).
Every model in this table is available on CoreAI — open the web app and run the same prompt through inclusionAI: Ling 3.0 Tiny (free) and inclusionAI: Ling-2.6-flash side by side to judge with your own eyes.
inclusionAI: Ling 3.0 Tiny (free) handles 262K tokens of context — roughly 196,608 words, or about 393 pages of text in one conversation.
inclusionAI: Ling 3.0 Tiny (free) is one of the budget-friendly options in the CoreAI catalog, included in the same single subscription as every other model.
No — inclusionAI: Ling 3.0 Tiny (free) is text-only. If you need image understanding, its budget-tier peers with vision are listed in the comparison table above.
Yes. inclusionAI: Ling 3.0 Tiny (free) can work through problems step by step before answering; on CoreAI you can toggle thinking mode per message.
Open the CoreAI web app or the iOS/Android app, pick inclusionAI: Ling 3.0 Tiny (free) in the model selector, and chat — no API key, no per-token billing. One subscription covers inclusionAI: Ling 3.0 Tiny (free) and 300+ other models.
The closest alternatives on CoreAI are inclusionAI: Ling-2.6-flash, Poolside: Laguna S 2.1 (free) — similar tier and capability. The fastest way to choose is running one prompt through them side by side in CoreAI's Compare view.
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