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.
Added Sep 9, 2026
Model weightsContext Window
262.1K
Max Output
32.8K
Avg output tokens (7d)
1.7K tokens
Input Price (Auto)
$0.060/1M
Output Price (Auto)
$0.18/1M
Cache Read (Auto)
$0.012/1M
Capabilities
Benchmarks
Benchmarks
Performance metrics and benchmarks
Sourced from Artificial Analysis.
Intelligence Index
24.6
Coding Index
57.0
Agentic Index
28.7
Agentic work
AutomationBench-AA
Workflow automation with guardrail penalties
15.7%
Better than 38% of models compared
AA-Briefcase
Agentic knowledge work (Elo)
984 Elo
Better than 48% of models compared
GDPval-AA v2
Economically valuable tasks (Elo)
1150 Elo
Better than 58% of models compared
Document reasoning
GDP.pdf
Professional PDF reasoning: all-pass rate
8.4%
Better than 34% 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 71% 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 37% 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 81% of models compared
GDPval-AA (unversioned / legacy)
Economically valuable tasks
32.5%
Last updated Sep 29, 2026
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