MODEL PROFILE

Ling 3.0 Flash

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...

Text generationreasoningtools
Context window262,144 Token
Input → OutputText → Text
Model weightsOpen weights
Profile updated2026/11/7 22:12:37
OVERVIEW

Model overview

*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...

The summary below is compiled from sources by an AI model, not our own testing. Verify selection decisions against original sources and your workload.

Key features

  • 124B-parameter Mixture-of-Experts (MoE) architecture
  • Approximately 5.1B parameters activated per token, prioritizing token efficiency
  • Optimized for production-scale agentic inference and reasoning with tool integration

Limitations & considerations

Sources are insufficient to establish specific limitations. Verify task performance, latency, data policies, licensing and version lifecycle.

PRICING & COST

Source prices & cost analysis

Prices vary by channel, region and configuration. Channel quotes are listed independently and are not treated as a single official provider price.

Source / channelInputOutputBilling unitCollected at
OpenRouter · inclusionai/ling-3.0-flash ↗USD 0.021USD 0.063Per million tokens2026/11/2 06:25:22

Some channels offer cache discounts. Check the source for cache read, write and additional fees.

Estimate monthly base token costs

—

Estimates exclude cache discounts, tiered pricing, multimodal surcharges, web search, taxes and additional reasoning output.

INDEPENDENT BENCHMARKS

Public benchmarks & run configuration

暂无已采集的可核验公开评分。模型未上榜不代表能力较低。

View full indexed rankings →

Frequently asked questions

What is the parameter count of Ling 3.0 Flash?

Ling 3.0 Flash is a 124B-parameter Mixture-of-Experts (MoE) model.

How many parameters are activated per token in Ling 3.0 Flash?

Approximately 5.1B parameters are activated per token.

What are the primary design goals of Ling 3.0 Flash?

Its key design priorities are token efficiency and production-scale agentic inference.

Do open weights permit free commercial use?

Not necessarily. Check the version license, commercial conditions and usage policies. Self-hosting incurs compute and maintenance costs.

Are these real-time billing prices?

These are timestamped source snapshots, not live billing prices. Check the channel for current versions, regions, discounts and billing methods.

Sources & traceability

许可证:mit。模型介绍与第三方评测均以原来源的具体版本和方法为准。