Moonshot: Kimi K2 Thinking

moonshotai/kimi-k2-thinking

Kimi K2 Thinking is Moonshot AI’s most advanced open reasoning model to date, extending the K2 series into agentic, long-horizon reasoning. Built on the trillion-parameter Mixture-of-Experts (MoE) architecture introduced in Kimi K2, it activates 32 billion parameters per forward pass and supports 256 k-token context windows. The model is optimized for persistent step-by-step thought, dynamic tool invocation, and complex reasoning workflows that span hundreds of turns. It interleaves step-by-step reasoning with tool use, enabling autonomous research, coding, and writing that can persist for hundreds of sequential actions without drift. It sets new open-source benchmarks on HLE, BrowseComp, SWE-Multilingual, and LiveCodeBench, while maintaining stable multi-agent behavior through 200–300 tool calls. Built on a large-scale MoE architecture with MuonClip optimization, it combines strong reasoning depth with high inference efficiency for demanding agentic and analytical tasks.

Model specifications

Input
text
Output
text
Context
262,144 tokens
Max output
262,144 tokens
Input price
$0.6 / 1M tokens
Output price
$3 / 1M tokens
Released
2026-02-10

Capabilities

  • Streaming
  • Function calling
  • JSON mode
  • Playground

Provider pricing, discounts and data privacy

Compare effective provider prices, published discounts, regions, retention policies, training use, compliance, and privacy links by service tier.

Standard service tier

2 available providers · tier input average $0.6 / 1M tokens · tier output average $2.75 / 1M tokens

AtlasCloud

Tier: Standard · Region: US

Pricing
Input
$0.6 / 1M tokens
Output
$2.5 / 1M tokens

No provider discount is currently published.

Data privacy and compliance
Region
US
Zero data retention
No
Data retention
7-day retention
Used for training
No
Data collection
Moderated
No
GDPR compliant
No
HIPAA compliant
No
SOC 2 certified
No
BYOK supported
No

Privacy policy · Terms · Official website · Documentation · Support

Moonshot AI

Tier: Standard · Region: SG

Pricing
Input
$0.6 / 1M tokens
Output
$3 / 1M tokens
Cache read
$0.15 / 1M tokens

No provider discount is currently published.

Data privacy and compliance
Region
SG
Zero data retention
No
Data retention
Unknown retention
Used for training
Yes
Data collection
Moderated
No
GDPR compliant
No
HIPAA compliant
No
SOC 2 certified
No
BYOK supported
No

Privacy policy · Terms · Official website · Documentation · Status · Support

Priority service tier

1 available provider · tier input average .15 / 1M tokens · tier output average $8 / 1M tokens

Moonshot AI

Tier: Priority · Region: SG

Pricing
Input
.15 / 1M tokens
Output
$8 / 1M tokens
Cache read
$0.15 / 1M tokens

No provider discount is currently published.

Data privacy and compliance
Region
SG
Zero data retention
No
Data retention
Unknown retention
Used for training
Yes
Data collection
Moderated
No
GDPR compliant
No
HIPAA compliant
No
SOC 2 certified
No
BYOK supported
No

Privacy policy · Terms · Official website · Documentation · Status · Support

Frequently asked questions

What is Moonshot: Kimi K2 Thinking?
Kimi K2 Thinking is Moonshot AI’s most advanced open reasoning model to date, extending the K2 series into agentic, long-horizon reasoning. Built on the trillion-parameter Mixture-of-Experts (MoE) architecture introduced in Kimi K2, it activates 32 billion parameters per forward pass and supports 256 k-token context windows. The model is optimized for persistent step-by-step thought, dynamic tool invocation, and complex reasoning workflows that span hundreds of turns. It interleaves step-by-step reasoning with tool use, enabling autonomous research, coding, and writing that can persist for hundreds of sequential actions without drift. It sets new open-source benchmarks on HLE, BrowseComp, SWE-Multilingual, and LiveCodeBench, while maintaining stable multi-agent behavior through 200–300 tool calls. Built on a large-scale MoE architecture with MuonClip optimization, it combines strong reasoning depth with high inference efficiency for demanding agentic and analytical tasks.
How much does Moonshot: Kimi K2 Thinking cost?
Input costs start at $0.6 / 1M tokens and output costs start at $3 / 1M tokens. Provider-level prices vary by service tier.
What is the context length of Moonshot: Kimi K2 Thinking?
Moonshot: Kimi K2 Thinking supports a 262,144 token context window and up to 262,144 output tokens.
What capabilities does Moonshot: Kimi K2 Thinking support?
Moonshot: Kimi K2 Thinking supports Streaming, Function calling, JSON mode, Playground.
Which providers offer Moonshot: Kimi K2 Thinking?
Moonshot: Kimi K2 Thinking is available from AtlasCloud, Moonshot AI.
How do providers handle data privacy for Moonshot: Kimi K2 Thinking?
2 of 2 providers report that customer data is not used for training, and 0 offer zero-data-retention routing. Retention, compliance, and privacy-policy links are listed per provider.

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