Using Mistral Medium 3 on GCP Vertex AI

Implementation guide · Mistral Medium · MistralAI

Serverless

GCP Vertex AI exposes Mistral Medium 3 through model ID mistral-medium-3. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.

Last refreshed 2026-10-18. Next refresh: weekly.

Quick Start

  1. 1
    Create an account at GCP Vertex AI and generate an API key.
  2. 2
    Use the GCP Vertex AI SDK or REST API to call mistral-medium-3 — see the documentation for request format.
  3. 3
    You'll be billed $0.40/1M input, $2.00/1M output tokens. See full pricing.

Code Examples

Install
pip install google-cloud-aiplatform
API key
GOOGLE_CLOUD_PROJECT
Model ID
mistral-medium-3

For Google-published models use the model name directly, e.g. "gemini-2.0-flash-001". For third-party publishers (Anthropic, Meta, etc.) use the full publisher path, e.g. "publishers/anthropic/models/claude-3-5-sonnet-v2@20241022".

import os
import vertexai
from vertexai.generative_models import GenerativeModel

# Reads GOOGLE_CLOUD_PROJECT from env; authenticates via Application Default Credentials
vertexai.init(project=os.environ["GOOGLE_CLOUD_PROJECT"], location="us-central1")
model = GenerativeModel("mistral-medium-3")
response = model.generate_content("Hello")
print(response.text)

Pricing on GCP Vertex AI

TypePrice (per 1M)
Input tokens$0.40
Output tokens$2.00

Capabilities

VisionMultimodalJSON / Tool useStructured OutputsCode Execution

About Mistral Medium 3

Mistral Medium 3 is Mistral AI's enterprise-grade model delivering frontier-level capabilities including vision, function calling, and code generation at competitive cost for business applications.

Model Specs

Released2025-05-01
Context128K
ArchitectureDecoder Only
Knowledge cutoff2025-03

Provider

GCP Vertex AI

Google Cloud Platform (GCP)

Mountain View, California, United States