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Ling 3.0 Flash Thinking

inclusionai/ling-3.0-flash:thinking
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Ling 3.0 Flash Thinking

inclusionai/ling-3.0-flash:thinking

Ling-3.0-flash Thinking enables visible reasoning on inclusionAI's token-efficient 124B-parameter Mixture-of-Experts model for harder coding, tool use, planning, and production-scale agent workflows.

Added Jul 23, 2026

Model weights

Context Window

262.1K

Max Output

32.8K

Input Price (Auto)

$0.075/1M

Output Price (Auto)

$0.22/1M

Cache Read (Auto)

$0.015/1M

Capabilities

Benchmarks

Performance metrics and benchmarks

Sourced from Artificial Analysis.

Intelligence Index

37.8

Better than 85% of models compared

Coding Index

50.6

Better than 59% of models compared

Agentic Index

21.1

Better than 48% of models compared

Reasoning

GPQA Diamond

Graduate-level scientific reasoning

85.5%

Better than 78% of models compared

HLE

Humanity's Last Exam

23.7%

Better than 76% of models compared

AA-LCR

Long context reasoning evaluation

67.0%

Better than 63% of models compared

GDPval-AA

Economically valuable tasks

27.0%

CritPt

Research-level physics reasoning

1.7%

Coding

SciCode

Python programming for scientific computing

41.1%

Better than 18% of models compared

Knowledge

AA-Omniscience Accuracy

Proportion of correctly answered questions

18.2%

AA-Omniscience Hallucination Rate

Rate of incorrect answers among non-correct responses

44.1%

Last updated Aug 17, 2026

Artificial Analysis

Providers

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