Using Mistral Large on AWS Bedrock
Implementation guide · Mistral Large · MistralAI
ServerlessOpen Weights
AWS Bedrock exposes Mistral Large through model ID mistral-large-1. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.
Last refreshed 2026-06-16. Next refresh: weekly.
Quick Start
- 1
- 2Use the AWS Bedrock SDK or REST API to call
mistral-large-1— see the documentation for request format. - 3
Code Examples
Install
pip install boto3API key
AWS_ACCESS_KEY_IDModel ID
mistral-large-1Use 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="mistral-large-1",
messages=[{
"role": "user",
"content": [{"text": "Hello"}]
}]
)
print(response["output"]["message"]["content"][0]["text"])Pricing on AWS Bedrock
| Type | Price (per 1M) |
|---|---|
| Input tokens | $2.00 |
| Output tokens | $6.00 |
Capabilities
VisionJSON / Tool useStructured Outputs
About Mistral Large
Mistral Large is a language model from MistralAI. It is deprecated (originally released 2024-02-08); use it only for reproducing earlier results or evaluating drift over time.
Model Specs
Released2024-02-08
Parameters123B
Context32k
Knowledge cutoff2024-03