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Moonshotaitext->text

MoonshotAI: Kimi K2 0711 (free)

Kimi K2 Instruct is a large-scale Mixture-of-Experts (MoE) language model developed by Moonshot AI, featuring 1 trillion total parameters with 32 billion active per forward pass. It is optimized for agentic capabilities, including advanced tool use, reasoning, and code synthesis. Kimi K2 excels across a broad range of benchmarks, particularly in coding (LiveCodeBench, SWE-bench), reasoning (ZebraLogic, GPQA), and tool-use (Tau2, AceBench) tasks. It supports long-context inference up to 128K tokens and is designed with a novel training stack that includes the MuonClip optimizer for stable large-scale MoE training.

Context Window

33K

Input Price

Free

Output Price

Free

Modality

text->text

Pricing Breakdown
Cost per million tokens for input and output
InputFree
OutputFree

Cost Example: Processing 10,000 input tokens and generating 1,000 output tokens would cost approximately $0.000000

Context Window Size
Maximum tokens the model can process in a single request
Context Window33K tokens
3% of 1M max

~25K

Words Equivalent

~16

Pages of Text

~328

Code Functions

Best Use Cases
What this model excels at
CodingProgrammingDevelopmentMathReasoningAnalysis

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