Kimi K2.7 Code
Kimi K2.7 Code is the coding-specialized agentic model from Moonshot AI within the K2 family, optimized for long-horizon software engineering workflows. The MoE architecture activates 32 billion out of a total of one trillion parameters per token, with a context window of 256,000 tokens. Multimodal input for text, image, and video, always-on thinking mode, and tool use support. Available as an Open Weights model under a Modified MIT license.
- Open Weights
- Frontier
- OpenRouter
- Text
- Vision
- Video
- Instruction-Tuned
- Agentic Orchestrator
- Batch
Sovereign Risk: HIGH Moonshot AI is a Chinese company and subject to China’s National Security Law (NSL), which may enable state access to data. In February 2025, the BSI explicitly warned against the use of Chinese AI cloud services; this risk assessment conservatively applies here as well.
Key metrics
Score · Latency · Cost · Quality
- Total Score Silver
- 74.27
- Routine
- 45.4
- Reasoning
- 28.87
- LLM Judge Avg
- 3.79 / 5
- 100 Coverage
- Avg Task Duration
- 51.64s
- Batch
- Token Rate
- 83tok/s
- Output Rate
- P95 Latency
- 176.27s
- Top 5 %
- Total Tokens
- 166200
- Output Volume
- Cost per 1K
- $0.0034
- USD / 1K Requests
- Benchmark Cost
- $0.57
- Total · 166200 tok
Benchmark modules
10 modules · weighted · vs. model median & top performer
Token efficiency & latency
Consumption per module vs. model median
Token consumption per module
Performance profile
Key metrics – legend
Score
- Total Score
- Overall score derived from Routine and Reasoning scores. Basis for the fleet rank and tier assignment (Gold / Silver / Bronze / Standard).
- Routine
- Score for standard tasks: code generation, text transformation, structured outputs. Weighted by task complexity.
- Reasoning
- Score for analytical and logical tasks: multi-step problem solving, mathematical reasoning, structured argumentation.
- Rank
- Position in the fleet comparison, sorted by Total Score. Refers to the snapshot at the time of testing.
LLM Judge
- LLM Judge Ø
- Average quality rating by an independent judge model on a scale of 1–5.
- Coverage
- Share of tasks for which a judge rating is available. 100% means all responses were evaluated.
Latency & speed
- Avg. Task Duration
- Average time per task from the first to the last token of the response, measured across all benchmark tasks.
- Token Rate
- Output speed in tokens per second. Relevant for interactive applications and real-time streaming.
- P95 Latency
- 95th percentile of response times — shows outliers. Lower values mean fewer long wait times in edge cases.
Cost
- Cost per 1K
- API price per 1,000 output tokens in US dollars. Basis for cost calculation in production use.
- Benchmark Cost
- Total cost for the complete benchmark run of this model.