black-forest-labs
Black Forest Labs: FLUX.2 Flex
black-forest-labs/flux.2-flex
Our take
AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.
OpenRouter lists black-forest-labs/flux.2-flex as a Black Forest Labs image-generation model that accepts text and image inputs and produces images. Its catalog description says it is intended for complex text, typography, and fine-detail rendering, with multi-reference editing in a unified architecture, and it exposes a seed parameter. OpenRouter also includes design-arena results, but this source pack has no independent model card or workload testing, so treat reported capabilities and arena outcomes as catalog evidence requiring validation.[1]
Strengths
Limitations
- Only OpenRouter catalog evidence was supplied; no independent model card was available in this source pack.[1]
- The catalog includes design-arena entries, but the supplied excerpt lacks methodology and task-specific testing; validate on real workloads.[1]
- No evidence was supplied for licensing, safety behavior, hardware needs, latency, output limits, or supported languages.[1]
Where to use it
- Potentially suitable for design concepts where legible typography or fine details matter; verify quality on brand-specific assets.[1]
- May fit logo, graphic-design, and image-editing prototypes that use reference images, subject to workflow testing.[1]
- Could be evaluated for controlled image variation when a seed parameter is useful.[1]
Sources
- [1] OpenRouter catalog · Black Forest Labs: FLUX.2 FlexSources checked: Nov 13, 2026
About this model
Description below is the original text supplied by OpenRouter, shown in the source language.
FLUX.2 [flex] excels at rendering complex text, typography, and fine details, and supports multi-reference editing in the same unified architecture. Pricing is as follows, [per the docs](https://bfl.ai/pricing?category=flux.2): We charge $0.06...
Specifications
- Model ID
- black-forest-labs/flux.2-flex
- Creator
- black-forest-labs
- Added to OpenRouter
- 25.11.2025
- Context length
- 67,344
- 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
| Source | Benchmark | Value | Grade | Data retrieved |
|---|---|---|---|---|
| Design Arena | models · graphicdesignwin rate 54.6% · rank 7 | 1,189Elo | BB — next 30% of the cohort | 13.11.2026 |
| Design Arena | models · imagewin rate 54.8% · rank 7 | 1,182Elo | BB — next 30% of the cohort | 13.11.2026 |
| Design Arena | models · logowin rate 54% · rank 7 | 1,209Elo | BB — next 30% of the cohort | 13.11.2026 |
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.
| Provider | Context length | Price in /1M | Price out /1M | Latency p50 (30m, s) | Throughput p50 (30m, tok/s) | Uptime (30m) |
|---|---|---|---|---|---|---|
| Black Forest Labs | 67,344 | — | — | — | — | — |
Provider data retrieved: 13.11.2026
Related articles
No published articles identify this model yet.