Using FLUX.1 Kontext [pro] on Vercel AI Gateway

Implementation guide · FLUX.1 · Black Forest Labs

ServerlessOpen Weights

Vercel AI Gateway exposes FLUX.1 Kontext [pro] through model ID bfl/flux-kontext-pro. 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
Create an account at Vercel AI Gateway and generate an API key.
2
Use the Vercel AI Gateway SDK or REST API to call bfl/flux-kontext-pro — see the documentation for request format.

API Portal Documentation Pricing Model Card

Code Examples

Install

pip install openai

API key

AI_GATEWAY_API_KEY

Model ID

bfl/flux-kontext-pro

creator/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="bfl/flux-kontext-pro",
    messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)

Pricing on Vercel AI Gateway

Type	Rate
Image input	$0.04

Capabilities

Multimodal

About FLUX.1 Kontext [pro]

FLUX.1 Kontext [pro] is Black Forest Labs' context-aware image generation and editing model. Unlike standard text-to-image models, Kontext accepts both text prompts and reference images, enabling consistent character and style transfer, precise in-context editing, and multi-turn refinement. Released in May 2025 as part of the Kontext suite, available commercially via API.

Full model details →

Model Specs

Released2025-05-01

Parameters12K

ArchitectureDiffusion Transformer

Vercel