Using Mistral Large 2 (2407) on AWS Bedrock
Implementation guide · Mistral Large · MistralAI
AWS Bedrock exposes Mistral Large 2 (2407) through model ID mistral.mistral-large-2407-v1:0. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.
Last refreshed 2026-10-17. Next refresh: weekly.
Quick Start
- 1
- 2Use the AWS Bedrock SDK or REST API to call
mistral.mistral-large-2407-v1:0— see the documentation for request format. - 3
Code Examples
pip install boto3AWS_ACCESS_KEY_IDmistral.mistral-large-2407-v1:0Use 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.mistral-large-2407-v1:0",
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
About Mistral Large 2 (2407)
Mistral Large 2 (version 24.07, API name mistral-large-2407) is a 123-billion-parameter dense model that Mistral released on July 24, 2024, designed for single-node inference in long-context applications. It has a 128K-token context window, up from 32K on the first Mistral Large, and supports dozens of languages, including French, German, Spanish, Italian, Portuguese, Arabic, Hindi, Russian, Chinese, Japanese and Korean, plus more than 80 coding languages such as Python, Java, C, C++, JavaScript and Bash.