Using Pixtral Large on Vercel AI Gateway
Implementation guide · Pixtral · MistralAI
ServerlessOpen Source
Vercel AI Gateway exposes 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 2026-06-29. Next refresh: weekly.
Quick Start
- 1
- 2Use the Vercel AI Gateway SDK or REST API to call
mistral/pixtral-large— see the documentation for request format. - 3
Code Examples
Install
pip install openaiAPI key
AI_GATEWAY_API_KEYModel ID
mistral/pixtral-largecreator/model-name e.g. kwaipilot/kat-coder-pro-v2
import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["AI_GATEWAY_API_KEY"],
base_url="https://ai-gateway.vercel.sh/v1"
)
response = client.chat.completions.create(
model="mistral/pixtral-large",
messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)Pricing on Vercel AI Gateway
| Type | Price (per 1M) |
|---|---|
| Input tokens | $2.00 |
| Output tokens | $6.00 |
Capabilities
VisionMultimodalStructured Outputs
About Pixtral Large
Large multimodal Mistral model delivering advanced vision-language understanding with support for high-resolution images and complex visual reasoning.
Model Specs
Released2024-11-18
Parameters124B
Context128k
ArchitectureDecoder Only
Knowledge cutoff2024-07