Kimi K2 Thinking

Moonshot AI · family kimi-k2-thinking

Identity and capabilities

Status
active
Context window
262,144
Maximum output
100,352
Image input
No
Reasoning
Yes
Tool calling
Yes
First seen
2026-08-08 09:49:45Z UTC
Last verified

Known source identifiers: bedrock: Kimi-K2-Thinking · novita: moonshotai/kimi-k2-thinking · openrouter: moonshotai/kimi-k2-thinking

Current offers

Amazon BedrockAggregator

Kimi-K2-Thinking · availability available · · source official api

Provider limits: context Unknown · maximum output Unknown · vision Unknown · reasoning Unknown · tool use Unknown

Pricing components as published by the source
ComponentService tierContextPriceUnitAs published
InputFlexDefault context$0.30per 1M tokens0.0003000000
InputPriorityDefault context$1.05per 1M tokens0.0010500000
InputStandardDefault context$0.60per 1M tokens0.0006000000
OutputFlexDefault context$1.25per 1M tokens0.0012500000
OutputPriorityDefault context$4.38per 1M tokens0.0043800000
OutputStandardDefault context$2.50per 1M tokens0.0025000000

Novita AIAggregator

moonshotai/kimi-k2-thinking · availability available · · source official pricing page

Provider limits: context 262,144 · maximum output 100,352 · vision No · reasoning Yes · tool use Yes

Pricing components as published by the source
ComponentService tierContextPriceUnitAs published
Cached inputStandardDefault context$0.15per 1M tokens$0.15
InputStandardDefault context$0.60per 1M tokens$0.6
OutputStandardDefault context$2.50per 1M tokens$2.5

OpenRouterAggregator

moonshotai/kimi-k2-thinking · availability available · · source official api

Provider limits: context 262,144 · maximum output 100,352 · vision No · reasoning Yes · tool use Yes

Pricing components as published by the source
ComponentService tierContextPriceUnitAs published
Cached inputStandardDefault context$0.15per 1M tokens0.00000015
InputStandardDefault context$0.60per 1M tokens0.0000006
OutputStandardDefault context$2.50per 1M tokens0.0000025

Active promotions

No officially confirmed promotion applies to this model.