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Kimi K2 Thinking (Amazon Bedrock)

moonshotai·moonshotai/moonshot.kimi-k2-thinking·GA·Open weights·kimi-thinking series
Thinking Kimi model for slower research passes, planning, and hard technical questions

Kimi K2 Thinking (Amazon Bedrock) by moonshotai is currently listed from a single provider. Its reference price is $0.60 per 1M input tokens and $2.50 per 1M output tokens.

The context window is 128,000 tokens, with an output limit of 262,144 tokens. It supports reasoning. The weights are open, so it can also be self-hosted or served through a gateway of your choice. Its training knowledge cuts off at 2024-08.

Specs & pricing

Input / output per 1M tokens
Reference price·Eden AI
$0.60 / $2.50
Blended $1.07 · Cache read —
Lowest paid·Eden AIGateway
$0.60 / $2.50
Blended $1.07
Context
128,000
Output limit
262,144
Knowledge cutoff
2024-08
Released / updated
2025-11-06 / 2025-11-06
Capabilities
✓ ReasoningTool useStructured output✓ TemperatureAttachments
Modalities
Text

Available at 1 providers1 with public prices

ProviderTierInputOutputCache readCache writeContextOutput limitStatus
Eden AIGateway$0.60$2.50——128,000262,144

Sorted by blended price (input×0.75 + output×0.25) asc. The official channel always shows regardless of rank. Whether a gateway's low price is actually usable can't be verified.

Your usage cost

1Eden AI$245.00
The cheapest paid channel is the only channel.

Reasoning control

Upstream provides no control info

1 / 1 providers expose no reasoning control (reasoning_options: []).

Related models

K2-Thinksame series$0.17 / $0.68DeepSeek V4 Flashcheaper alternative$0.14 / $0.28DeepSeek V4 Procheaper alternative$0.435 / $0.87GLM-5.3-Flashcheaper alternative$0.075 / $0.25MiniMax-M2.7cheaper alternative$0.30 / $1.20

Price historyone sample accumulated per data sync

Input list $0.60Output list $2.50Min blended $1.07

Price history accumulates from each data sync; currently only 1 sample(s) (2026-09-07). Each future sync adds a point, and once accumulated a line is drawn here.

Data partly from models.dev (MIT) · Eden AI official docs ↗