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Ling 3.0 Flash VL

Ling 3.0 Flash VL is inclusionAI's native multimodal Mixture-of-Experts model with 124B total parameters and 5.5B active parameters per token. It combines image and video understanding with reasoning and tool use for document analysis, charts, visual verification, and interface-based agent tasks. Thinking is enabled by default and can be turned off in settings.

  • Reasoning
  • Vision
  • Video Input
  • Tool Calling

Added Sep 9, 2026

Model weights

Pricing

Auto routing · per 1M tokens
Input
$0.060
Output
$0.18
Cache read
$0.012
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Specifications

Context window
262.1K
Max output
32.8K
Parameters
124B / 5.5B
Total / active
Avg output (7d)
988 tokens
Longer than 70% of models

Benchmarks

Sourced from Artificial Analysis.

Intelligence Index

24.6

Better than 77% of models compared

Coding Index

57.0

Better than 68% of models compared

Agentic Index

28.7

Better than 69% of models compared

Agentic work

AutomationBench-AA

Workflow automation with guardrail penalties

15.7%

Better than 38% of models compared

AA-Briefcase

Agentic knowledge work (Elo)

985 Elo

Better than 48% of models compared

GDPval-AA v2

Economically valuable tasks (Elo)

1164 Elo

Better than 59% of models compared

Document reasoning

GDP.pdf

Professional PDF reasoning: all-pass rate

8.4%

Better than 35% of models compared

AA-LCR v1.1

Long context reasoning with updated grading

78.3%

Better than 81% of models compared

Reasoning

HLE

Humanity's Last Exam

22.0%

Better than 69% of models compared

CritPt

Research-level physics reasoning

2.0%

Coding

Terminal-Bench v4.0

Practical coding and terminal tasks

0.0%

Better than 16% of models compared

SciCode

Python programming for scientific computing

44.2%

Better than 35% of models compared

Knowledge

AA-Omniscience Accuracy

Proportion of correctly answered questions

14.3%

AA-Omniscience Hallucination Rate

Rate of incorrect answers among non-correct responses

22.0%

Legacy benchmarks

GPQA Diamond (legacy)

Graduate-level scientific reasoning

86.2%

Better than 81% of models compared

AA-LCR (unversioned / legacy)

Long context reasoning evaluation

78.3%

Better than 80% of models compared

GDPval-AA (unversioned / legacy)

Economically valuable tasks

33.1%

Last updated Oct 14, 2026

Artificial Analysis

Providers

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