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
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
Benchmarks
Sourced from Artificial Analysis.
Intelligence Index
41.1
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
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