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Ling 3.0 Tiny

InclusionAI · 7.9B parameters

InclusionAI's compact Ling 3.0 language model, supporting thinking and direct-response modes through enable_thinking. Its checkpoint contains 7,893,389,856 parameters after excluding 2,944 routing-bias buffer elements; the card reports approximately 1.3B active parameters per token. The release card supports 256K context, while the default configuration uses 131,072 positions.

Benchmark scores

BenchmarkScore
AA-Briefcase Elo481
AA-Briefcase v1.1 Elo476
AA-LCR v1.160.3
AA-Omniscience Index-19.4
AA-Omniscience v1.1 Accuracy37.9
AA-Omniscience v1.1 Hallucination Rate86.7
AA-Omniscience v1.1 Index-15.9
Artificial Analysis Intelligence Index v4.311.9
Artificial Analysis Intelligence Index v4.3.211.1
Artificial Analysis Omniscience Accuracy8.5
Artificial Analysis Omniscience Hallucination Rate30.5
Artificial Analysis Openness Index38.9
Artificial Analysis Progress Index v1231
AutomationBench-AA 1.0.60.3
Capability137.1
CritPt (avg@5)0.0
GDP.pdf (Artificial Analysis, All-pass)0.8
GDP.pdf (Artificial Analysis, Mean Criteria)36.4
GDPval-AA v2716
GDPval-AA v2.1569
GPQA Diamond (Artificial Analysis avg@5)73.4
Humanity's Last Exam (Text-Only)9.3
Medical Long Context Reasoning (MLCR-AA, October 2026 methodology)10.0
MLCR-AA Accuracy (October 2026 methodology)26.7
MLCR-AA Completeness (October 2026 methodology)17.8
SciCode 1.0.1 (Artificial Analysis)24.2
Terminal-Bench 2.127.7
Terminal-Bench 4.0 (Artificial Analysis)0.0
𝜏³-Banking20.8
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