black-forest-labs

Black Forest Labs: FLUX.2 Max

black-forest-labs/flux.2-max

Our take

AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.

According to the OpenRouter catalog, black-forest-labs/flux.2-max is Black Forest Labs' premium FLUX.2 image model for generation and editing from text or visual references. It accepts text and image inputs and returns image output, with a seed parameter exposed for reproducibility-oriented workflows. The catalog description claims stronger image quality, prompt understanding, and editing consistency, but the source pack contains no independent model card or measured benchmark results, so those claims remain unverified.[1]

Strengths

OpenRouter lists text and image inputs with image-only output.[1]
The catalog description emphasizes image quality, prompt understanding, and editing consistency.[1]
A seed parameter is listed and may support repeatable output comparisons.[1]

Limitations

Only OpenRouter catalog evidence was supplied; no independent model card was available in this source pack.[1]
No completed benchmark results were supplied, so performance claims require workload validation.[1]
License terms, hardware requirements, safety behavior, and detailed editing constraints are not stated.[1]

Where to use it

Evaluate for text-guided image generation where visual quality is a priority.[1]
Test image-conditioned generation or editing with visual reference inputs.[1]
Use the seed parameter in prototypes requiring repeatable prompt comparisons.[1]

Sources

[1] OpenRouter catalog · Black Forest Labs: FLUX.2 MaxSources checked: Nov 13, 2026

About this model

Description below is the original text supplied by OpenRouter, shown in the source language.

FLUX.2 [max] is the new top-tier image model from Black Forest Labs, pushing image quality, prompt understanding, and editing consistency to the highest level yet. Pricing is as follows, [per...

Specifications

Model ID: black-forest-labs/flux.2-max
Creator: black-forest-labs
Added to OpenRouter: 16.12.2025
Context length: 46,864
Modality: text+image->image
Input modalities: text, image
Output modalities: image
Token pricing: No per-token price in the source snapshot — see OpenRouter for the billing unit
Knowledge cutoff: —
Expiration date: —

Tasks and capabilities

A grade appears only where the source supplies a matching measurement for that task, the model is active and the cohort holds at least 10 comparable models. The capability column lists facts the source declares — supported formats, reasoning and tool parameters — which are not measured quality.

Task	Grade	Source-declared capability
General quality	No measurement	—
Coding	No measurement	—
Agents	No measurement	—
Writing	No measurement	—
Reasoning	No measurement	—
Document analysis	No measurement	—
Vision	No measurement	input: image
Image generation	No measurement	output: image
Audio	No measurement	—
Video	No measurement	—
Embeddings	No measurement	—

Evaluations

No evaluations are supplied for this model.

How grades work

Each letter grade compares a model only against other models scored by the same source and metric in the current snapshot. S means the top 10%, A the next 20%, B the next 30%, C the rest. Models without a published measurement are shown as not rated — a supported format alone never implies measured quality.

S — S — top 10% of the cohort
A — A — next 20% of the cohort
B — B — next 30% of the cohort
C — C — below the B band

Providers

Optional live provider statistics from OpenRouter. Missing values are unknown, not zero.

Provider	Context length	Price in /1M	Price out /1M	Latency p50 (30m, s)	Throughput p50 (30m, tok/s)	Uptime (30m)
Black Forest Labs	46,864	—	—	—	—	—

Provider data retrieved: 13.11.2026

No published articles identify this model yet.