Kimi K2.5 with thinking mode enabled. Built on Kimi K2 with ~15T mixed visual and text tokens, it excels at general reasoning, visual coding, and agentic tool-calling. Produces reasoning traces for complex multi-step workflows.
Added Jan 26, 2026
Model weightsContext Window
256.0K
Max Output
65.5K
Avg output tokens (7d)
1.2K tokens
Input Price (Auto)
$0.45/1M
Output Price (Auto)
$2.25/1M
Cache Read (Auto)
$0.070/1M
Capabilities
Benchmarks
Benchmarks
Performance metrics and benchmarks
Sourced from Artificial Analysis.
Intelligence Index
36.0
Coding Index
46.8
Agentic Index
21.7
Reasoning
GPQA Diamond
Graduate-level scientific reasoning
87.9%
Better than 87% of models compared
HLE
Humanity's Last Exam
30.7%
Better than 86% of models compared
IFBench
Instruction-following benchmark
70.2%
Better than 84% 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
73.0%
Better than 86% of models compared
GDPval-AA
Economically valuable tasks
25.3%
CritPt
Research-level physics reasoning
3.1%
Coding
SciCode
Python programming for scientific computing
49.0%
Better than 89% of models compared
Terminal-Bench Hard
Agentic coding and terminal use
34.8%
Better than 80% of models compared
Knowledge
AA-Omniscience Accuracy
Proportion of correctly answered questions
35.2%
AA-Omniscience Hallucination Rate
Rate of incorrect answers among non-correct responses
65.7%
Last updated Aug 16, 2026
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