Using Kimi K2.5 on AWS Bedrock

Implementation guide · Kimi · Moonshot AI

Serverless

AWS Bedrock exposes Kimi K2.5 through model ID kimi-k2-5. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.

Last refreshed 2026-06-15. Next refresh: weekly.

Quick Start

  1. 1
    Create an account at AWS Bedrock and generate an API key.
  2. 2
    Use the AWS Bedrock SDK or REST API to call kimi-k2-5 — see the documentation for request format.
  3. 3
    You'll be billed $0.60/1M input, $3.00/1M output tokens. See full pricing.
API PortalDocumentationPricing

Code Examples

Install
pip install boto3
API key
AWS_ACCESS_KEY_ID
Model ID
kimi-k2-5

Use Amazon Bedrock model IDs, e.g. "anthropic.claude-3-opus-20240229-v1:0" for on-demand, or cross-region inference profile IDs like "us.anthropic.claude-opus-4-7-20251101-v1:0". These differ from the public model slug.

import boto3

# Reads AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY, AWS_DEFAULT_REGION from env
client = boto3.client("bedrock-runtime", region_name="us-east-1")
response = client.converse(
    modelId="kimi-k2-5",
    messages=[{
        "role": "user",
        "content": [{"text": "Hello"}]
    }]
)
print(response["output"]["message"]["content"][0]["text"])

Pricing on AWS Bedrock

TypePrice (per 1M)
Input tokens$0.60
Output tokens$3.00

Capabilities

VisionMultimodalJSON / Tool useStructured Outputs

About Kimi K2.5

Kimi K2.5 is Moonshot AI's Kimi model focused on code generation and software engineering. It offers a 256K-token context window and scores 87.9 on GPQA.

Full model details →

Model Specs

Released2026-03-15
Parameters1T (MoE, 384 experts)
Context256k
ArchitectureMixture of Experts

Also available on(9)

OpenRouter$0.44/1MTogether AI$0.50/1MFireworks AI$0.60/1M
Compare all providers →

Provider

AWS Bedrock

Amazon Web Services

Seattle, Washington, United States