FLUX.1 Kontext Pro

Overview

FLUX.1 Kontext Pro accepts text and image inputs to produce edited image outputs. It specializes in mask-based inpainting and targeted refinement, allowing you to modify specific regions while preserving the rest of the frame. On Kyma, the model runs on the cheap tier with medium speed. Prompt caching applies to repeated instruction prefixes, and every request benefits from automatic failover if a serving path degrades. Response metadata includes exact costs in usage.cost and the active model in the X-Kyma-Model header. This model does not support text generation, logical reasoning, or structured outputs. It is optimized for guided edits rather than generating images entirely from scratch, and token limits do not apply to its image-based workflow.

Specs

Field	Value
Model ID	`flux-kontext-pro`
Best for	Image edit, inpaint, refinement
Context window	0
Input modalities	Text, Image
Output modalities	Image
Tool calling	Yes
Structured outputs	Yes
Prompt caching	Yes
Speed	Medium
Cost band	Cheap
Release stage	Stable

Pricing

	Per 1M tokens
Input	$0.20
Output	$0.60

Use this when

Masked Object Replacement — Swap specific regions of an image using a binary mask and a text prompt.
Iterative Image Refinement — Improve composition or details in an existing image through guided edits.
Targeted Detail Enhancement — Sharpen or adjust specific areas without altering the full frame.
Batch Asset Editing — Apply consistent text-guided modifications across multiple source images.

Not ideal for

Do not use this model for generating images from scratch, text generation, or tasks requiring logical reasoning or structured JSON outputs.

Pick something else when

You need high-fidelity generation from text prompts: use flux-2-pro or flux-1.1-ultra.
You require vector graphics or scalable design assets: use recraft-v4-vector or recraft-v4-vector-pro.
You need fast, low-latency image generation: use imagen-4-fast or nano-banana-3-flash.

Example

from openai import OpenAI

client = OpenAI(base_url="https://kymaapi.com/v1", api_key="ky-...")

response = client.chat.completions.create(
    model="flux-kontext-pro",
    messages=[{"role": "user", "content": "..."}],
)

Agent query example

Ask the API which models fit, instead of hardcoding an id:

curl "https://kymaapi.com/v1/models?recommended_for=generate-images&tools=true&quality_tier=strong"

FAQ

Does this model accept text-only prompts? No. It requires an input image alongside a text prompt to perform edits or refinements. How does prompt caching work with this model? Repeated prompt prefixes are billed at this model’s cached input rate, reducing costs for workflows with consistent instructions. How do I verify which model processed my request? Kyma returns the exact model identifier in the X-Kyma-Model header and reports precise costs in the usage.cost field.

​Overview

​Specs

​Pricing

​Use this when

​Not ideal for

​Pick something else when

​Example

​Agent query example

​FAQ