Kimi K2.6 Thinking is the reasoning-optimized K2.6 variant for deeper multi-step planning and execution. It is tuned for long-horizon coding and design workflows, including complex orchestration across many specialized sub-agents and autonomous end-to-end output generation.
Added Apr 16, 2026
Model weightsContext Window
256.0K
Max Output
65.5K
Avg output tokens (7d)
4.1K tokens
Input Price (Auto)
$0.53/1M
Output Price (Auto)
$2.73/1M
Cache Read (Auto)
$0.13/1M
Capabilities
Benchmarks
Benchmarks
Performance metrics and benchmarks
Sourced from Artificial Analysis.
Intelligence Index
45.1
Coding Index
61.8
Agentic Index
31.2
Reasoning
GPQA Diamond
Graduate-level scientific reasoning
91.1%
Better than 94% of models compared
HLE
Humanity's Last Exam
37.5%
Better than 91% of models compared
IFBench
Instruction-following benchmark
76.0%
Better than 95% of models compared
T²-Bench Telecom
Conversational AI agents in dual-control scenarios
95.9%
Better than 96% of models compared
AA-LCR
Long context reasoning evaluation
76.7%
Better than 94% of models compared
GDPval-AA
Economically valuable tasks
34.5%
CritPt
Research-level physics reasoning
8.0%
Coding
SciCode
Python programming for scientific computing
53.5%
Better than 95% of models compared
Terminal-Bench Hard
Agentic coding and terminal use
43.9%
Better than 91% of models compared
Knowledge
AA-Omniscience Accuracy
Proportion of correctly answered questions
32.6%
AA-Omniscience Hallucination Rate
Rate of incorrect answers among non-correct responses
40.5%
Last updated Aug 16, 2026
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