Ling 3.0 Tiny
InclusionAI · 1 configuration
Intelligence11.1
Input / 1M$0
Output / 1M$0
Context262.1K
Tariff: InclusionAI · Source: artificial-analysis · USD per million tokens
Thinking configuration
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Compare this model’s measured thinking configurations.
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Efficient frontier: best measured score at each cost1 measured configurations · 0 without both values
Selected: thinking thinking · Click a point to switch configuration
Ling-3.0-tiny is an efficient 7.9B parameter MoE model from inclusionAI with only 1.3B active parameters per token. Built for responsive agents, reliable instruction following and multi turn conversation, with a 256K context window, native function calling, prompt caching and switchable Thinking and Instant modes.
Intelligence IndexArtificial Analysis composite index, not a percentage. Different versions of the index are not directly comparable.
11.1 pointsGPQA DiamondGraduate-level scientific questions. Measures specialist reasoning rather than web-search quality.
73.4 %Humanity’s Last ExamDifficult questions across many disciplines, compared under the same evaluation setup.
9.3 %SciCodeCode generation for scientific research problems.
24.2 %Terminal-Bench 2.1Agent tasks in a terminal environment. Results also depend on the evaluation harness.
27.7 %Omniscience accuracyFactual accuracy in Artificial Analysis's Omniscience evaluation.
8.5 %Specifications from the catalog
Inputtext
Outputtext
Tool callingYes
Structured outputNo
Speed48.7 tok/s
First token2.65 s
Maximum output32.8K
Catalog listing date2026-08-05