That's NeuralModel catalog

black-forest-labs

Black Forest Labs: FLUX.2 Pro

black-forest-labs/flux.2-pro

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-pro is a Black Forest Labs image model that accepts text and image inputs and produces images. The catalog presents it as a high-end generation and editing model aimed at strong prompt adherence, stable lighting, sharp textures, and consistent characters and styles across multiple reference images. OpenRouter also lists Design Arena placements in graphic design, general image, logo, and image editing categories, plus seed parameter support. No independent model card was included in this source pack, so these capabilities are vendor-catalog claims rather than verified measurements.[1]

Strengths

  • Accepts text plus image inputs and outputs images, covering generation and editing through a single endpoint, per the catalog.[1]
  • The catalog reports strong prompt adherence, stable lighting, sharp textures, and consistent character and style reproduction across multi-reference inputs.[1]
  • Supports a seed parameter and is listed in Design Arena comparisons across graphic design, image, logo, and image editing categories.[1]

Limitations

  • Evidence is catalog-only: no independent model card was available in this source pack, so capabilities remain unverified vendor-side claims.[1]
  • The catalog entry is truncated and omits license terms, hardware requirements, safety behavior, and training details.[1]
  • Arena placements reflect preference votes in specific categories, not guaranteed results; validate quality on your own workload before adopting it.[1]

Where to use it

  • Text-to-image and image-editing pipelines that combine prompts with reference images, subject to workload-level testing.[1]
  • Concept exploration for graphics and logos, given the catalog's listed arena categories.[1]
  • Character- or style-consistent visual production using multiple references, if the consistency claims hold in evaluation.[1]

Sources

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

About this model

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

A high-end image generation and editing model focused on frontier-level visual quality and reliability. It delivers strong prompt adherence, stable lighting, sharp textures, and consistent character/style reproduction across multi-reference inputs....

Specifications

Model ID
black-forest-labs/flux.2-pro
Creator
black-forest-labs
Added to OpenRouter
25.11.2025
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.

TaskGradeSource-declared capability
General qualityNo measurement—
CodingNo measurement—
AgentsNo measurement—
WritingNo measurement—
ReasoningNo measurement—
Document analysisNo measurement—
VisionNo measurementinput: image
Image generationNo measurementoutput: image
AudioNo measurement—
VideoNo measurement—
EmbeddingsNo measurement—

Evaluations

SourceBenchmarkValueGradeData retrieved
Design Arenamodels · graphicdesignwin rate 46.9% · rank 81,172EloBB — next 30% of the cohort13.11.2026
Design Arenamodels · imagewin rate 49.1% · rank 81,178EloBB — next 30% of the cohort13.11.2026
Design Arenamodels · logowin rate 48.8% · rank 101,192EloCC — below the B band13.11.2026
Design Arenamodels · imageeditingwin rate 46.7% · rank 61,111Elo—Not rated13.11.2026
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.

ProviderContext lengthPrice in /1MPrice out /1MLatency p50 (30m, s)Throughput p50 (30m, tok/s)Uptime (30m)
Black Forest Labs46,864————100%

Provider data retrieved: 13.11.2026

No published articles identify this model yet.