MoonshotAI: Kimi K3
MoonshotAI's flagship model. Long-context specialist with 1.0M window.
Scores by test
Methodology →What you need to know
Kimi K3 is a high-performance model optimized for complex agentic workflows and long-context processing. With a 1.0M token context window and perfect 5/5 scores in agentic planning, strategic analysis, and faithfulness, it is designed for deep reasoning tasks that require maintaining consistency across massive datasets.
The model excels in precision-heavy tasks, achieving maximum scores in tool calling, structured output, and constrained rewriting. This makes it highly reliable for developers building autonomous agents or systems requiring strict adherence to output formats. While it performs well across the board, its relative weaknesses are in classification and tabular data handling, though these still maintain a strong 4/5 rating.
At a blended cost of $12.00 per million tokens, Kimi K3 sits in a premium price tier. The cost is justified for high-stakes architectural planning or multilingual applications where accuracy is critical, but it may be prohibitively expensive for simple classification or high-volume, low-complexity tasks.
Use this model if you are building complex AI agents, requiring massive context windows, or need guaranteed structured outputs. Skip this model if your primary use case is basic text classification or if you are operating on a tight budget for high-throughput tasks.
Strengths — Top 3
Relative weaknesses — Bottom 3
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