Last refreshed 2026-06-04. Next refresh: weekly.
Why use Kimi K2 on AWS Bedrock?
AWS Bedrock offers Kimi K2 with pay-as-you-go pricing at $0.50/1M input tokens. AWS Bedrock is Amazon's fully managed foundation-model service, providing unified API access to top models from Anthropic, Meta, Mistral, and other leading AI labs with built-in tools for RAG, fine-tuning, and AI agent development.
Compare Kimi K2 across 3 providers to find the best fit for your use caseSetup recipe
Python + curlpip install boto3export AWS_ACCESS_KEY_ID=...import boto3
client = boto3.client("bedrock-runtime", region_name="us-east-1")
response = client.converse(
modelId="kimi-k2",kimi-k2Request example
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",
messages=[{
"role": "user",
"content": [{"text": "Hello"}]
}]
)
print(response["output"]["message"]["content"][0]["text"])Gotchas
- 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.
- The endpoint template includes a region segment; set the same region in your SDK/client configuration.
- The examples expect AWS_ACCESS_KEY_ID; rename it only if your application config maps the new variable.
Compare Kimi K2 Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| OpenRouter | $0.57 | $2.30 |
| AWS Bedrock | $0.50 | $2.00 |
| GCP Vertex AI | $0.50 | $2.00 |
Pricing
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.50 |
| Output tokens | $2.00 |
Capabilities
About Kimi K2
Original Kimi K2 model from Moonshot AI. Moonshot discontinued the Kimi K2 series API IDs on 2026-05-25; use kimi-k2-6 as the current successor.
FAQ
What does Kimi K2 cost on AWS Bedrock?
On AWS Bedrock, Kimi K2 costs $0.50 per 1M input tokens and $2.00 per 1M output tokens.
What is the context window for Kimi K2 on AWS Bedrock?
Kimi K2 supports a 262k token context window on AWS Bedrock.
How does AWS Bedrock compare to other Kimi K2 providers?
Kimi K2 is available from 3 providers. The cheapest input pricing is $0.50/1M tokens from AWS Bedrock.
Who created Kimi K2?
Kimi K2 was created by Moonshot AI as part of the Kimi K2 model family.
Is Kimi K2 open source?
Kimi K2 is open source under MIT according to the seed data.