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Ling 3.1 Flash

Ling 3.1 Flash is inclusionAI's hybrid reasoning model for coding, tool use, planning, and long-context agent workflows. It has 560B total parameters with 25B active parameters per token. Thinking is enabled by default and can be turned off in settings.

  • Reasoning
  • Tool Calling

Added Sep 30, 2026

Pricing

Auto routing · per 1M tokens
Input
$0.075
Output
$0.22
Cache read
$0.015
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Specifications

Context window
262.1K
Max output
32.8K
Parameters
560B / 25B
Total / active
Avg output (7d)
2.2K tokens
Longer than 94% of models

Benchmarks

Sourced from Artificial Analysis.

Intelligence Index

41.1

Better than 93% of models compared

Agentic work

AutomationBench-AA

Workflow automation with guardrail penalties

61.7%

Better than 89% of models compared

AA-Briefcase

Agentic knowledge work (Elo)

1400 Elo

Better than 78% of models compared

GDPval-AA v2

Economically valuable tasks (Elo)

1622 Elo

Better than 92% of models compared

Document reasoning

GDP.pdf

Professional PDF reasoning: all-pass rate

10.0%

Better than 40% of models compared

AA-LCR v1.1

Long context reasoning with updated grading

83.0%

Better than 95% of models compared

Reasoning

HLE

Humanity's Last Exam

39.4%

Better than 87% of models compared

CritPt

Research-level physics reasoning

18.0%

Coding

Terminal-Bench v4.0

Practical coding and terminal tasks

33.3%

Better than 83% of models compared

SciCode

Python programming for scientific computing

54.1%

Better than 71% of models compared

Knowledge

AA-Omniscience Accuracy

Proportion of correctly answered questions

29.1%

AA-Omniscience Hallucination Rate

Rate of incorrect answers among non-correct responses

37.9%

Legacy benchmarks

AA-LCR (unversioned / legacy)

Long context reasoning evaluation

83.0%

Better than 95% of models compared

GDPval-AA (unversioned / legacy)

Economically valuable tasks

55.9%

Last updated Oct 14, 2026

Artificial Analysis

Providers

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