That's NeuralModel catalog

black-forest-labs

Black Forest Labs: FLUX Video Edit

black-forest-labs/flux-video-edit

Our take

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

black-forest-labs/flux-video-edit is a video-editing model from Black Forest Labs that, according to its OpenRouter catalog entry, accepts a source video plus a text prompt and returns an edited video. The catalog describes capabilities such as adding, removing, or replacing objects and characters, rebuilding the setting, and editing on-screen elements. These are source-reported capabilities only: the catalog records no benchmark results, and an independent model card was not available in this source pack, so real-world performance is unverified.[1]

Strengths

  • According to the OpenRouter catalog, it edits video from a source clip and a text instruction, returning an edited video as output.[1]
  • The catalog entry describes a range of edit operations, including adding, removing, or replacing objects and characters, rebuilding the setting, and editing on-screen elements.[1]

Limitations

  • All evidence comes from a single OpenRouter catalog entry; no independent model card was included in this source pack, so the described editing capabilities are source-reported and unverified.[1]
  • The catalog records no benchmark results or supported parameters and its description appears truncated, so output quality and available controls should be validated on representative workloads.[1]

Where to use it

  • As described, it may suit teams prototyping instruction-driven video edits such as object or character replacement, provided results are validated on their own footage.[1]
  • Potentially useful for testing text-guided scene changes, such as altering a setting, in fast-turnaround editing workflows; suitability remains unverified.[1]

Sources

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

About this model

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

FLUX Video Edit [fast] takes a source video and an edit prompt and returns a precisely edited video. Add, remove, or replace objects and characters, rebuild the setting, edit on-screen...

Specifications

Model ID
black-forest-labs/flux-video-edit
Canonical ID
black-forest-labs/flux-video-edit-20260910
Creator
black-forest-labs
Added to OpenRouter
10.09.2026
Context length
0
Modality
text+video->video
Input modalities
text, video
Output modalities
video
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 measurement—
Image generationNo measurement—
AudioNo measurement—
VideoNo measurementinput: video · output: video
EmbeddingsNo 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.

ProviderContext lengthPrice in /1MPrice out /1MLatency p50 (30m, s)Throughput p50 (30m, tok/s)Uptime (30m)
Black Forest Labs0—————

Provider data retrieved: 13.11.2026

No published articles identify this model yet.