Private AI
Ling-2.6-flash is an instant (instruct) model from inclusionAI with 104B total parameters and 7.4B active parameters, designed for real-world agents that require fast responses, strong execution, and high token efficiency. It delivers performance comparable to state-of-the-art models at a similar scale while significantly reducing token usage across coding, document processing, and lightweight agent workflows.
Added Apr 21, 2026
Context Window
262.1K
Max Output
32.8K
Input Price (Auto)
$0.080/1M
Output Price (Auto)
$0.24/1M
Capabilities
Performance metrics and benchmarks
Sourced from Artificial Analysis.
Intelligence Index
26.2
Auto routing is available for this model. Explicit provider selection is not available.
Loading provider options…
Coding Index
23.2
GPQA Diamond
Graduate-level scientific reasoning
59.3%
Better than 40% of models compared
HLE
Humanity's Last Exam
6.2%
Better than 49% of models compared
IFBench
Instruction-following benchmark
57.4%
Better than 71% of models compared
T²-Bench Telecom
Conversational AI agents in dual-control scenarios
86.0%
Better than 77% of models compared
AA-LCR
Long context reasoning evaluation
25.0%
Better than 38% of models compared
SciCode
Python programming for scientific computing
27.1%
Better than 36% of models compared
Terminal-Bench Hard
Agentic coding and terminal use
21.2%
Last updated May 31, 2026
Artificial AnalysisBetter than 60% of models compared