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
Model weightsContext Window
256.0K
Max Output
65.5K
Avg output tokens (7d)
1.4K 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
42.8
Coding Index
56.0
Reasoning
GPQA Diamond
Graduate-level scientific reasoning
91.1%
Better than 97% of models compared
HLE
Humanity's Last Exam
35.9%
Better than 96% 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
69.7%
Better than 94% of models compared
CritPt
Research-level physics reasoning
1.4%
Coding
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 93% of models compared
Knowledge
AA-Omniscience Accuracy
Proportion of correctly answered questions
24.3%
AA-Omniscience Hallucination Rate
Rate of incorrect answers among non-correct responses
44.2%
Last updated Jun 28, 2026
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