inclusionAI: Ling 3.0 Flash Rank

Ling 3.0 Flash has an overall score of 75 out of 100, tied for rank 44 of 291. The published scores are price 100, context 53, parameters 52, and recency 95. The overall score is their average. freshness is not published and is left out of the average.

Data sourced from OpenRouter API and manual data collection | Last updated: Nov 3, 2026, 8:01 AM UTC

Overall score
75
Rank
44

tied for rank 44 of 291

Component scores

ScoreResultPublished valueSource
Freshness——AI Knowledge Cutoff
Recency95AI Release Date
Context53262K tokens, output 32.8KAI Context Window
Parameters52124B totalAI Parameter Count
Price100$0.0315 / 1M blended, $0.021 / 1M input, $0.063 / 1M outputAI Token Price

43 listed models have a higher overall score. Among inclusionAI models, it ranks 2 of 3.

*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...

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Frequently asked questions

What is the Ling 3.0 Flash rank?

Ling 3.0 Flash has an overall score of 75 out of 100, tied for rank 44 of 291. The published scores are price 100, context 53, parameters 52, and recency 95. The overall score is their average. freshness is not published and is left out of the average.

Where does Ling 3.0 Flash rank?

Ling 3.0 Flash is tied for rank 44 of 291. 43 listed models have a higher overall score. Among inclusionAI models, it ranks 2 of 3.

What scores make up Ling 3.0 Flash?

Ling 3.0 Flash scores price 100 (AI Token Price), context 53 (AI Context Window), parameters 52 (AI Parameter Count), and recency 95 (AI Release Date). The overall score of 75 is the average of those 4.