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inclusionAI: Ling 3.0 Flash

inclusionai/ling-3.0-flash

inclusionAI: Ling 3.0 Flash is a 262,144-token model served on Composite at $0.0262 per million tokens in and $0.0787 per million tokens out. Ranked #35 of 201 models by traffic on Composite over the last 30 days, taking 0.42% of tokens and 0.42% of requests.

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Specifications

Specifications and pricing as served by Composite
Model IDinclusionai/ling-3.0-flash
Providercv11
Context window262,144 tokens
Acceptstext
Returnstext
Input price$0.0262 per million tokens
Output price$0.0787 per million tokens
Prompt cachingSupported — cached input is billed at the provider's cache rate, on credits and plans alike
ModeratedNo
Cost on a monthly planAbout 0.2 plan credits per typical call (8k in, 1k out)
Routing endpoints2 (base plus 1 routing variant)

Traffic rank on Composite

#35 of 201

0.42% of tokens and 0.42% of requests over 30 days.

Routing variants

The same model behind 1 alternative endpoint. Call the id directly to pin a route; the base id above picks for you.

RouteModel IDProviderPrice
cheapThink inclusionai/ling-3.0-flash:cheapThink cv11 $0.0262 per million tokens input · $0.0787 per million tokens output

Pricing

$0.0262 per million tokens input · $0.0787 per million tokens output

Credits pay the provider’s price plus 25%; cache hits cost less.

On a monthly plan, a typical call (8k tokens in, 1k out) uses about 0.2 plan credits, at the provider's own price.

Provider

cv11

Roleplay fit

This model is available on Composite alongside dozens of others from other labs, so it is easy to compare against similar options.

Context behavior

With a 262,144-token context window, it can hold a long-running roleplay or a full lorebook in memory without losing earlier plot details, so it suits multi-session campaigns and character cards with heavy backstory.

Cost for regular use

It is priced low enough for high-volume daily roleplay without the per-message cost adding up quickly.

From the provider

*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...

Supplied by cv11, not written by Composite.