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Inclusionai

Ling 3.0 Flash

Ling 3.0 Flash is a Mixture-of-Experts model from Inclusionai with 124B total parameters and about 5.1B active per token, built for token-efficient agentic inference. It supports a context window of 256K tokens and a max output of 256K tokens per request.

ReasoningTool UseImplicit Caching
Use with AI GatewayView docs
import { streamText } from 'ai'


const result = streamText({
  model: 'inclusionai/ling-3.0-flash-free',
  prompt: 'Why is the sky blue?'
})
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Copy link to headingAbout Ling 3.0 Flash

Ling 3.0 Flash arrived on AI Gateway on July 23, 2026. The architecture is a Mixture-of-Experts (MoE) with 124B total parameters and about 5.1B active per token, so inference cost tracks the active subset rather than the full parameter count. The context window is 256K tokens, and a single request can return up to 256K tokens.

Inclusionai built Ling 3.0 Flash around token efficiency and production-scale agentic inference, meaning more completed work per token spent across long multi-step runs. The target workloads are high-frequency agentic workflows, coding agents, document processing, and long-context multi-turn conversation. Ling 3.0 Flash runs in thinking and non-thinking modes, so you spend reasoning tokens on the requests that need them.

The -free suffix in the model identifier inclusionai/ling-3.0-flash-free marks a free listing. Ling 3.0 Flash joined the catalog at no cost for three weeks after launch, through August 3, 2026. AI Gateway currently lists $0 per million input tokens and $0 per million output tokens, and the pricing panel on this page always shows the live rate. Inclusionai later shipped Ling 3.0 Tiny, a smaller sibling with 7.9B total parameters and about 1.3B active per token, which took over the free slot on August 6, 2026.

Call Ling 3.0 Flash with one API key and get provider routing, automatic failover, and built-in observability. Integrate through the AI SDK, the Chat Completions API, the Responses API, the Messages API, or other supported API formats. AI Gateway reflects provider pricing with no markup and charges no platform fee on inference.