Kimi K3
Kimi K3 has been Moonshot AI’s Frontier flagship since July 2026, with 2.8 trillion total parameters making it the largest Open Weights model in the world to date. The Stable-LatentMoE architecture activates only 16 billion parameters per token from 896 experts; the context window spans 1,000,000 tokens for long-horizon agentic workflows. Kimi Delta Attention and Attention Residuals are designed to significantly improve scaling efficiency over the predecessor model.
- Open Weights
- Frontier
- OpenRouter
- Text
- Vision
- Video
- Long Context
- Agentic Orchestrator
- Batch
Sovereign Risk: HIGH Moonshot AI is a Chinese company subject to China’s National Security Law (NSL), which may enable state access to data via services hosted in China. In February 2025, Germany’s BSI explicitly warned against the use of Chinese AI cloud services; this risk assessment applies here conservatively as well. Kimi K3 has been announced as a 2.8T Open Weights model whose weights are scheduled for release on July 27, 2026; the operational risk arises primarily from cloud usage under Chinese jurisdiction, not from the mere existence of open weights.[web:605][web:610]
Key metrics
Score · Latency · Cost · Quality
- Total Score Silver
- 78.83
- Routine
- 47.71
- Reasoning
- 31.12
- LLM Judge Avg
- 3.95 / 5
- 100 Coverage
- Avg Task Duration
- 99.3s
- Batch
- Token Rate
- 48.28tok/s
- Output Rate
- P95 Latency
- 310.8s
- Top 5 %
- Total Tokens
- 219900
- Output Volume
- Cost per 1K
- $0.015
- USD / 1K Requests
- Benchmark Cost
- $3.3
- Total · 219900 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).
- 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.