Using Mistral Large 2.1 (2411) on GCP Vertex AI
Implementation guide · Mistral Large · MistralAI
ServerlessOpen Weights
GCP Vertex AI exposes Mistral Large 2.1 (2411) through model ID mistral-large-2411. 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 GCP Vertex AI SDK or REST API to call
mistral-large-2411— see the documentation for request format. - 3
Code Examples
Install
pip install google-cloud-aiplatformAPI key
GOOGLE_CLOUD_PROJECTModel ID
mistral-large-2411For 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-large-2411")
response = model.generate_content("Hello")
print(response.text)Pricing on GCP Vertex AI
| Type | Price (per 1M) |
|---|---|
| Input tokens | $2.00 |
| Output tokens | $6.00 |
Capabilities
JSON / Tool useStructured OutputsBatch API
About Mistral Large 2.1 (2411)
Mistral Large 2.1 is Mistral AI's November 2024 flagship Large 2 snapshot for high-complexity reasoning, coding, and function-calling workloads, with a 128K context window.
Model Specs
Released2024-11-18
Parameters123B
Context128K
ArchitectureDecoder Only