Inclusionai

inclusionAI: Ling 3.0 Tiny (free)

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...

Context Window
262K tokens
Parameters
1B
Input Price
Free
Output Price
Free
Price Tier
budget
Provider
Inclusionai

How to Use inclusionAI: Ling 3.0 Tiny (free)

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.

  1. Download the CoreAI app for iOS, Android, or use the Web App
  2. Select inclusionAI: Ling 3.0 Tiny (free) from the model selector
  3. Start chatting, comparing, or creating with AI

inclusionAI: Ling 3.0 Tiny (free) at a Glance

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).

inclusionAI: Ling 3.0 Tiny (free) Compared to Its Closest Alternatives

SpecinclusionAI: Ling 3.0 Tiny (free)inclusionAI: Ling-2.6-flashPoolside: Laguna S 2.1 (free)
ProviderInclusionaiInclusionaiPoolside
Input $/1M tokensFree$0.01Free
Output $/1M tokensFree$0.03Free
Context window262K262K262K
Reasoning modeYesNoYes
Image inputNoNoNo
Price tierbudgetbudgetbudget

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.

More Inclusionai Models

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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
262K budget
Inclusionai

inclusionAI: Ring-2.6-1T

Ring-2.6-1T is a 1T-parameter-scale thinking model with 63B active parameters, built for real-world agent workflows that require both strong capabilit
262K budget
Inclusionai

inclusionAI: Ling-2.6-1T

Ling-2.6-1T is an instant (instruct) model from inclusionAI and the company’s trillion-parameter flagship, designed for real-world agents that require
262K budget
Inclusionai

inclusionAI: Ling-2.6-flash

Ling-2.6-flash is an instant (instruct) model from inclusionAI with 104B total parameters and 7.4B active parameters, designed for real-world agents t
262K budget

Frequently Asked Questions about inclusionAI: Ling 3.0 Tiny (free)

What is inclusionAI: Ling 3.0 Tiny (free)'s context window?

inclusionAI: Ling 3.0 Tiny (free) handles 262K tokens of context — roughly 196,608 words, or about 393 pages of text in one conversation.

How much does inclusionAI: Ling 3.0 Tiny (free) cost?

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.

Can inclusionAI: Ling 3.0 Tiny (free) process images?

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.

Does inclusionAI: Ling 3.0 Tiny (free) support reasoning or thinking mode?

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.

How can I use inclusionAI: Ling 3.0 Tiny (free) without an API key?

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.

What are the best alternatives to inclusionAI: Ling 3.0 Tiny (free)?

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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