Kimi K2.6 is an open-source, native multimodal agentic model built for long-horizon coding, coding-driven design, and large-scale task orchestration. It can turn simple prompts and visual inputs into production-ready interfaces and full-stack workflows, and is designed to coordinate complex multi-agent plans with thousands of steps across code, documents, and spreadsheets.
Added Apr 16, 2026
Context Window
256.0K
Max Output
65.5K
Input Price (Auto)
$0.53/1M
Output Price (Auto)
$2.73/1M
Cache Read (Auto)
$0.13/1M
Capabilities
Performance metrics and benchmarks
Sourced from Artificial Analysis.
Intelligence Index
53.9
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Coding Index
47.1
Agentic Index
66.0
GPQA Diamond
Graduate-level scientific reasoning
91.1%
Better than 98% of models compared
HLE
Humanity's Last Exam
35.9%
Better than 98% of models compared
IFBench
Instruction-following benchmark
76.0%
Better than 96% of models compared
T²-Bench Telecom
Conversational AI agents in dual-control scenarios
95.9%
Better than 97% of models compared
AA-LCR
Long context reasoning evaluation
69.7%
Better than 95% of models compared
GDPval-AA
Economically valuable tasks
49.2%
Better than 94% of models compared
CritPt
Research-level physics reasoning
8.0%
Better than 95% of models compared
SciCode
Python programming for scientific computing
53.5%
Better than 98% of models compared
Terminal-Bench Hard
Agentic coding and terminal use
43.9%
Better than 94% of models compared
AA-Omniscience Accuracy
Proportion of correctly answered questions
32.8%
Better than 89% of models compared
AA-Omniscience Hallucination Rate
Rate of incorrect answers among non-correct responses
39.3%
Better than 94% of models compared
Last updated May 11, 2026
Artificial Analysis
