Kimi K2.7 Code is Moonshot AI's coding-focused agentic model built for long-horizon software engineering workflows. It supports native image input, tool calling, and forced thinking mode while running inside a Trusted Execution Environment (TEE) with attestation support.
Added Aug 15, 2026
Model weightsContext Window
262.1K
Max Output
65.5K
Avg output tokens (7d)
1.1K tokens
Input Price (Auto)
$0.95/1M
Output Price (Auto)
$4.00/1M
Cache Read (Auto)
$0.19/1M
Capabilities
Benchmarks
Benchmarks
Performance metrics and benchmarks
Sourced from Artificial Analysis.
Intelligence Index
25.8
Coding Index
60.8
Agentic work
AutomationBench-AA
Workflow automation with guardrail penalties
24.5%
Better than 46% of models compared
Harvey LAB-AA
Legal agentic work criterion pass rate
85.0%
Better than 38% of models compared
AA-Briefcase
Agentic knowledge work (Elo)
856 Elo
Better than 37% of models compared
GDPval-AA v2
Economically valuable tasks (Elo)
1025 Elo
Better than 49% of models compared
Document reasoning
GDP.pdf
Professional PDF reasoning: all-pass rate
11.2%
Better than 45% of models compared
AA-LCR v1.1
Long context reasoning with updated grading
79.3%
Better than 84% of models compared
MLCR-AA
Medical long-context reasoning
16.1%
Better than 54% of models compared
Reasoning
HLE
Humanity's Last Exam
35.0%
Better than 83% of models compared
IFBench
Instruction-following benchmark
63.1%
Better than 74% of models compared
Coding
Terminal-Bench v4.0
Practical coding and terminal tasks
1.0%
Better than 42% of models compared
SciCode
Python programming for scientific computing
47.8%
Better than 47% of models compared
Legacy benchmarks
GPQA Diamond (legacy)
Graduate-level scientific reasoning
89.6%
Better than 88% of models compared
Terminal-Bench Hard (legacy)
Agentic coding and terminal use
44.7%
Better than 92% of models compared
T²-Bench Telecom (legacy)
Conversational AI agents in dual-control scenarios
90.1%
Better than 84% of models compared
AA-LCR (unversioned / legacy)
Long context reasoning evaluation
79.3%
Better than 84% of models compared
Last updated Oct 1, 2026
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