Last refreshed 2026-05-22. Next refresh: weekly.
Why use Kimi K2 Thinking on AWS Bedrock?
AWS Bedrock offers Kimi K2 Thinking with pay-as-you-go pricing at $0.60/1M 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 Thinking across 7 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-thinking",kimi-k2-thinkingRequest 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-thinking",
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 Thinking Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| Fireworks AI | $0.60 | $2.50 |
| GCP Vertex AI | $0.60 | $2.50 |
| NVIDIA NIM | — | — |
| AWS Bedrock | $0.60 | $2.50 |
| OpenRouter | $0.60 | $2.50 |
Pricing
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.60 |
| Output tokens | $2.50 |
Capabilities
About Kimi K2 Thinking
Extended thinking variant of Kimi K2 with native reasoning capabilities. 256K context.
FAQ
What does Kimi K2 Thinking cost on AWS Bedrock?
On AWS Bedrock, Kimi K2 Thinking costs $0.60 per 1M input tokens and $2.50 per 1M output tokens.
What is the context window for Kimi K2 Thinking on AWS Bedrock?
Kimi K2 Thinking supports a 256,000 token context window on AWS Bedrock.
How does AWS Bedrock compare to other Kimi K2 Thinking providers?
Kimi K2 Thinking is available from 7 providers. The cheapest input pricing is $0.6/1M tokens from Fireworks AI.
Who created Kimi K2 Thinking?
Kimi K2 Thinking was created by Moonshot AI as part of the Kimi K2 model family.
Is Kimi K2 Thinking open source?
Kimi K2 Thinking is not open source; the seed data lists it as proprietary.