LLM Reference
AWS Bedrock

Using Mistral Pixtral Large on AWS Bedrock

Implementation guide · Pixtral · MistralAI

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AWS Bedrock exposes Mistral Pixtral Large through model ID mistral-pixtral-large. 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 mistral-pixtral-large — see the documentation for request format.
  3. 3
    You'll be billed $2.00/1M input, $6.00/1M output tokens. See full pricing.
API PortalDocumentationPricing

Code Examples

Install
pip install boto3
API key
AWS_ACCESS_KEY_ID
Model ID
mistral-pixtral-large

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="mistral-pixtral-large",
    messages=[{
        "role": "user",
        "content": [{"text": "Hello"}]
    }]
)
print(response["output"]["message"]["content"][0]["text"])

Pricing on AWS Bedrock

TypePrice (per 1M)
Input tokens$2.00
Output tokens$6.00

Capabilities

Multimodal

About Mistral Pixtral Large

Mistral Pixtral Large is MistralAI's Pixtral model with multimodal text and image input. Its knowledge cutoff is 2024-07.

Full model details →

Model Specs

Released2024-12-01
Parameters124B
Knowledge cutoff2024-07

Provider

AWS Bedrock
AWS Bedrock

Amazon Web Services

Seattle, Washington, United States