Private AI
Ling-2.6-1T is an inclusionAI instruction model optimized for large-scale agentic and coding workloads with long-context support and structured output capabilities.
Added Apr 23, 2026
Context Window
262.1K
Max Output
32.8K
Input Price (Auto)
$0.30/1M
Output Price (Auto)
$2.50/1M
Cache Read (Auto)
$0.060/1M
Capabilities
Performance metrics and benchmarks
Sourced from Artificial Analysis.
Intelligence Index
26.1
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GPQA Diamond
Graduate-level scientific reasoning
75.2%
Better than 63% of models compared
HLE
Humanity's Last Exam
8.2%
Better than 56% of models compared
IFBench
Instruction-following benchmark
56.9%
Better than 68% of models compared
T²-Bench Telecom
Conversational AI agents in dual-control scenarios
89.8%
Better than 84% of models compared
AA-LCR
Long context reasoning evaluation
34.7%
Better than 46% of models compared
SciCode
Python programming for scientific computing
37.0%
Better than 62% of models compared
Terminal-Bench Hard
Agentic coding and terminal use
31.1%
Last updated Jul 20, 2026
Artificial AnalysisBetter than 73% of models compared
