Kimi K2 Thinking

Released
2025-01-01
Last refreshed
2026-10-07
Status
Researched 136d ago
Open sourceCommercial use: permittedRAGLong contextClassificationJSON / Tool use
Moonshot AI releases · 6 in the last 12 months · this family litChangelog →
Specifications
Family
Kimi K2
Released
2025-01-01
Context
256K
Parameters
1T (32B active)
Architecture
Decoder Only
Specialization
reasoning
Openness
Open source
License
MITOSI-approvedPermitted
Weights
Unknown
Code
Unknown
Training
Pretrained
Created by

Lossless long-context AI innovation

Beijing, China
Founded 2023
Website
Pricing
Output / 1M
$2.50
Input / 1M
$0.600

Cheapest of 7 routes · AWS Bedrock

About

Extended thinking variant of Kimi K2 with native reasoning capabilities. 256K context.

Overview

Kimi K2 Thinking is a reasoning-specialized model developed by Moonshot AI, produced by post-training the Kimi K2 foundation model for extended chain-of-thought reasoning. Kimi K2 is a trillion-parameter mixture-of-experts model that activates 32 billion parameters per forward pass, organized with 384 total experts from which 8 are routed per token plus 1 shared expert per token. The model supports a 256,000-token context window. Kimi K2 was trained on 15.5 trillion tokens using Moonshot's proprietary MuonClip optimizer, which enabled training without instabilities at that scale.

The K2 Thinking post-training adapts the base model to interleave extended reasoning steps with tool calls, enabling it to sustain coherent multi-step task execution across hundreds of sequential actions without drift. This makes it appropriate for autonomous coding, research workflows, and planning tasks that require long chains of intermediate reasoning. K2 Thinking ships in INT4 precision via quantization-native post-training, reducing serving cost compared to FP16 inference.

The model is available via Fireworks AI, OpenRouter, NVIDIA NIM, AWS Bedrock, Google Vertex AI, Novita AI, and the Vercel AI Gateway. It is the reasoning-optimized variant of the Kimi K2 family; the base Kimi K2 Instruct variant is the non-thinking counterpart for standard instruction-following tasks.

Providers(7)

Compare all 7

Compare API pricing across 7 tracked provider routes for input and output tokens, batch, and cached reads when available.

ProviderInput / 1MOutput / 1MCacheRoute
AWS Bedrock$0.600$2.50-
Serverless
Scheduled retirement: March 30, 2027
Fireworks AI$0.600$2.50-
Serverless
GCP Vertex AI$0.600$2.50-
Serverless
Novita AI$0.600$2.50-
Serverless
OpenRouter$0.600$2.50-
Serverless
Vercel AI Gateway$0.600$2.50read $0.150
Serverless
NVIDIA NIM---
ServerlessPartial

Available via routers & gateways(15)

Capabilities

ReasoningStructured Outputs

Benchmark peer barsfor RAG

No task-mapped benchmark peers are available for this model yet.

Migration checks

No linked migration route is available for this model yet.

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