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Black Forest Labs

FLUX 1 Kontext Max

FLUX 1 Kontext Max is an image generation and editing model from Black Forest Labs, the upper tier of the FLUX.1 Kontext line built around in-context image editing from text instructions.

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API Pricing

No pricing data available for this model at the moment.

Prices updated daily. Last check: Sep 25, 2026

Model Details

General

Creator
Black Forest Labs
Modalities
Text

Capabilities

Tool Calling
No
Open Source
No
Aliases
FLUX.1 Kontext Max

Strengths & Limitations

Strengths

  • Image-conditioned editing: accepts an existing image plus a text instruction rather than requiring prompt-only generation
  • Upper tier of the FLUX.1 Kontext line, positioned above lighter Kontext variants for fidelity-sensitive work
  • Supports iterative editing workflows where successive instructions are applied to the same subject or scene
  • Part of the broader FLUX.1 family from Black Forest Labs, so teams can move between tiers without changing prompting style
  • Available through multiple hosted inference providers, letting buyers compare per-image pricing and latency
  • Instruction-style editing lowers the need for masks, inpainting tools, or manual selection in a separate editor

Limitations

  • Higher-tier image models generally carry longer generation latency and higher per-image cost than lighter siblings in the same line
  • Per-image billing makes high-volume batch generation expensive relative to smaller editing models
  • Resolution ceilings, aspect-ratio options, and safety filtering differ by provider, so behavior is not uniform across endpoints
  • We do not track licensing or weight-availability details for this entry — check the provider's terms before commercial use
  • Text rendering, fine typography, and precise numeric/diagram accuracy remain common weak points for diffusion-style image models generally

Key Features

•Image generation from text prompts
•In-context image editing using a reference image plus a natural-language instruction
•Subject and scene consistency across successive edits
•Max tier of the FLUX.1 Kontext family from Black Forest Labs
•Hosted API access returning rendered image outputs
•Instruction-driven edits without manual masking
•Multi-turn iteration on a single base image

About FLUX 1 Kontext Max

FLUX 1 Kontext Max (also listed as FLUX.1 Kontext Max) is an image generation model from Black Forest Labs, the German lab behind the FLUX.1 family. Within that family, the Kontext line is the branch oriented toward context-aware generation and editing — taking an existing image plus a text instruction and producing a modified image — rather than text-to-image generation alone. Max sits at the upper end of the Kontext tier ladder, above the lighter Kontext variants that the same lab offers for latency- or cost-sensitive work. As an image model, FLUX 1 Kontext Max is evaluated on prompt adherence, edit locality (changing what the instruction asks for while leaving the rest of the frame intact), character and subject consistency across successive edits, and output resolution and generation latency — not on token context windows or chat benchmarks. It is typically consumed through hosted APIs, where a request carries a prompt and optionally one or more reference images, and the provider returns rendered image files or URLs. Exact resolution ceilings, safety filtering behavior, and licensing terms vary by the provider serving it, so those should be checked against the specific endpoint you plan to use. In practice, models in this category are used for iterative creative work: product shots, marketing variants, concept art, and photo retouching where an operator wants to issue successive natural-language edits against the same base image. Compared with lighter siblings in the Kontext line, the Max tier is generally chosen when output fidelity and instruction-following matter more than per-image speed or cost; compared with pure text-to-image models, its differentiator is accepting an input image as part of the conditioning rather than starting from a blank canvas each time.

Common Use Cases

FLUX 1 Kontext Max suits creative and production workflows that start from an existing image: retouching product photography, generating campaign variants of a single hero shot, adjusting backgrounds or wardrobe on a consistent character, and concept-art iteration where an artist refines one composition over several passes. Because it accepts an image alongside the prompt, it fits editor-style applications — design tools, e-commerce catalog pipelines, and social creative generators — better than prompt-only generators that restart from scratch on every request. As the Max tier of the Kontext line, it is the option to reach for when edit fidelity and instruction adherence outweigh throughput; for bulk thumbnail generation or high-volume automated variants where per-image cost dominates, a lighter Kontext or FLUX variant is usually the more economical choice.

Frequently Asked Questions

How much does FLUX 1 Kontext Max cost?

Image models are usually billed per generated image, and rates differ by provider, resolution, and whether you are on on-demand or committed capacity. Because those rates change frequently, check the pricing table on this page for current per-provider figures rather than relying on a quoted number.

What is FLUX 1 Kontext Max best used for?

It is best used for image editing and generation tasks where an existing image is part of the input — retouching, background and subject changes, campaign variants of a single shot, and iterative concept work that keeps a character or product consistent across edits.

How does it differ from other FLUX.1 Kontext models?

Kontext Max is the upper tier of the Kontext line. The lighter Kontext variants from Black Forest Labs are generally faster and cheaper per image, while Max is positioned for work where output fidelity and instruction-following matter more than raw throughput.

Can it edit an image I supply, or only generate new ones?

The Kontext branch of FLUX.1 is designed around in-context editing: you pass a reference image together with a text instruction and the model returns a modified version. It can also be used for straightforward text-to-image generation.

Are the model weights available to run locally?

We do not track weight availability or licensing terms for this entry. Check Black Forest Labs' published terms and the terms of whichever hosted provider you use before assuming self-hosting or commercial rights.