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 inference* as key priorities, enabling developers...

Context Window
262K tokens
Parameters
124B
Input Price
$0.02/1M
Output Price
$0.06/1M
Price Tier
budget
Provider
Inclusionai

How to Use Ling-3.0-flash

With CoreAI, you can start chatting with Ling-3.0-flash instantly — no separate subscription needed. CoreAI lets you chat with Ling-3.0-flash 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 Ling-3.0-flash from the model selector
  3. Start chatting, comparing, or creating with AI

Ling-3.0-flash at a Glance

Measured against all 386 chat models CoreAI serves, Ling-3.0-flash sits at #155 for context capacity — 262K tokens, roughly 196,608 words or 393 pages of text in a single conversation. On price, it is the #4 cheapest of 125 budget-tier models by input cost. Released 2026-07-23, it is one of the 15 newest additions to the catalog. It supports step-by-step reasoning (thinking mode).

Ling-3.0-flash Compared to Its Closest Alternatives

SpecLing-3.0-flashinclusionAI: Ling-2.6-flashPoolside: Laguna S 2.1 (free)IBM: Granite 4.0 Micro
ProviderInclusionaiInclusionaiPoolsideIbm-granite
Input $/1M tokens$0.021$0.01Free$0.017
Output $/1M tokens$0.063$0.03Free$0.112
Context window262K262K262K131K
Reasoning modeYesNoYesNo
Image inputNoNoNoNo
Price tierbudgetbudgetbudgetbudget

Every model in this table is available on CoreAI — open the web app and run the same prompt through Ling-3.0-flash and inclusionAI: Ling-2.6-flash side by side to judge with your own eyes.

What Ling-3.0-flash Actually Costs in Practice

A typical question (about 1,000 tokens in, 500 out) runs $0.00005 on Ling-3.0-flash's raw per-token rates; a heavy session with a 50K-token document costs about $0.001. On CoreAI you don't juggle these numbers — one subscription covers Ling-3.0-flash and 300+ other models under a plan usage limit, with no API keys. See plans.

More Inclusionai Models

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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, ins
262K budget
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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
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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
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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 Ling-3.0-flash

What is Ling-3.0-flash's context window?

Ling-3.0-flash handles 262K tokens of context — roughly 196,608 words, or about 393 pages of text in one conversation.

How much does Ling-3.0-flash cost?

Ling-3.0-flash's underlying rates are $0.021 per 1M input tokens and $0.063 per 1M output tokens. On CoreAI it is included in one subscription alongside 300+ models, so there is no per-token billing to manage.

Can Ling-3.0-flash process images?

No — Ling-3.0-flash is text-only. If you need image understanding, its budget-tier peers with vision are listed in the comparison table above.

Does Ling-3.0-flash support reasoning or thinking mode?

Yes. Ling-3.0-flash can work through problems step by step before answering; on CoreAI you can toggle thinking mode per message.

How can I use Ling-3.0-flash without an API key?

Open the CoreAI web app or the iOS/Android app, pick Ling-3.0-flash in the model selector, and chat — no API key, no per-token billing. One subscription covers Ling-3.0-flash and 300+ other models.

What are the best alternatives to Ling-3.0-flash?

The closest alternatives on CoreAI are inclusionAI: Ling-2.6-flash, Poolside: Laguna S 2.1 (free), IBM: Granite 4.0 Micro — 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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