Kimi K2
Kimi K2 is Moonshot AI’s flagship model with an Open Weights license, focused on agentic tasks, coding, and multi-step reasoning. The MoE architecture activates 32 billion of the total one trillion parameters per token; the context window spans 128,000 tokens. Available as a text-only variant locally or via cloud providers — cloud usage under Chinese jurisdiction requires a separate evaluation.
- Open Weights
- Frontier
- OR
- Text
- Agentic Orchestrator
- Real-Time
Key metrics
Score · Latency · Cost · Quality
- Total Score Silver
- 71.32
- Routine
- 42.38
- Reasoning
- 28.94
- LLM Judge Avg
- 3.63 / 5
- 100 Coverage
- Avg Task Duration
- 19.34s
- Real-Time
- Token Rate
- 21.27tok/s
- Output Rate
- P95 Latency
- 51.75s
- Top 5 %
- Total Tokens
- 47200
- Output Volume
- Cost per 1K
- $0.0025
- USD / 1K Requests
- Benchmark Cost
- $0.12
- Total · 47200 tok
Benchmark modules
10 modules · weighted · vs. model median & top performer
Kimi K2
Best model
Ø All models
Code Quality
73.56
CLI Benchmark
84.34
Logical Reasoning
74.15
UX Writing
70.07
Documentation
63.63
Content Transform.
71.25
Cultural Intelligence
70.8
Synthesis Quality
55
Tool Execution
86.67
ToolUse Score
70.71
Benchmark Cost
$0.12
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).
- 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.