Kimi K2

Moonshot AI

Kimi K2 is a Mixture-of-Experts (MoE) foundation model with 1 trillion total parameters and 32 billion activated parameters. Outperforms leading open-source models across general knowledge reasoning, programming, mathematics, and agent tasks. Context length 256K with automatic context caching, ToolCalls, JSON Mode, Partial Mode, and internet search support.

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Capabilities

Tool Use

Technical Specifications

Context Window

262,144 tokens

Max Output

16,384 tokens

Pricing

Token Costs (per 1M tokens)

Cache Miss Input

$0.60

Non-Reasoning Output

$2.50

Cache Read Input

$0.15

Tool Costs (per 1K calls)

Web Search

$15

Code Execution

$0.19

Legacy

Made legacy on

Reason

Superseded by Kimi K2.5

Recommended Replacement

Kimi K2.5