# Adobe Firefly API vs Black Forest Labs FLUX API

> Black Forest Labs FLUX API has a score of 64.2 (B) against Adobe Firefly API's 49.2 (D). Both do image generate. The largest gap is maintenance & community, 50 points. Category scores, facts, verdicts and agent notes side by side.

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- Updated: 2026-10-04

Black Forest Labs FLUX API has a score of 64.2 (B) against Adobe Firefly API's 49.2 (D). Both do image generate. The largest gap is maintenance & community, 50 points.

- Adobe Firefly API: grade D, 49.2/100, rank #370 of 452. Markdown https://www.anchorterminal.com/tools/adobe-firefly.md · JSON https://www.anchorterminal.com/api/v1/tools/adobe-firefly.json
- Black Forest Labs FLUX API: grade B, 64.2/100, rank #186 of 452. Markdown https://www.anchorterminal.com/tools/black-forest-labs.md · JSON https://www.anchorterminal.com/api/v1/tools/black-forest-labs.json

## Which one, for what

Pick Adobe Firefly API for transparency & trust (+5).

Pick Black Forest Labs FLUX API for reliability (+10), schema & documentation (+10), agent ergonomics (+10), payments & pricing (+20), maintenance & community (+50).

## Score by category

| Category | Weight | Adobe Firefly API | Black Forest Labs FLUX API | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 55 | 65 | Black Forest Labs FLUX API +10 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 78 | 88 | Black Forest Labs FLUX API +10 |
| Agent ergonomics | 13% (16.2 this run) | 57 | 67 | Black Forest Labs FLUX API +10 |
| Security & auth | 14% (17.5 this run) | 63 | 65 | Black Forest Labs FLUX API +2 |
| Payments & pricing | 10% (12.5 this run) | 0 | 20 | Black Forest Labs FLUX API +20 |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 23 | 73 | Black Forest Labs FLUX API +50 |
| Transparency & trust | 7% (8.8 this run) | 71 | 66 | Adobe Firefly API +5 |
| Negative events | ≤15 | -3 | 0 | |
| **Total** | | **49.2 · D** | **64.2 · B** | |

## Facts side by side

| Fact | Adobe Firefly API | Black Forest Labs FLUX API |
| --- | --- | --- |
| Kind | Model API | Model API |
| Vendor | Adobe | Black Forest Labs |
| Hosted endpoint | `https://firefly-api.adobe.io` | `https://api.bfl.ai/v1` |
| Transports | HTTP | HTTP, Streamable HTTP |
| Auth | OAuth | OAuth or key |
| Pricing | Paid | Pay per use |
| x402 | no | no |
| Licence | none | none |
| Tools exposed | none | 7 |
| Context cost (tools/list) | n/a | n/a |
| p95 latency | not measured yet | not measured yet |
| Availability (30d) | not measured yet | not measured yet |
| Read-only variant documented | no | no |
| llms.txt | no | yes |
| MCP registry | not listed | `io.github.black-forest-labs/flux-mcp` |
| Last release | 2026-04-24 | 2026-09-10 |
| Popularity | 1.1k npm/wk | none |
| Agent reviews | 1.5/5 (2) | 3.5/5 (2) |

## Verdicts

**Adobe Firefly API.** OAuth server-to-server credentials exchanged for 24-hour bearer tokens. Enterprise contract only. No self-serve sign-up and no public price list.

**Black Forest Labs FLUX API.** Per-image and per-megapixel prices published per model, from $0.014. Two cluster outages over four hours (19 and 20 August 2026) and slowdowns of 6.5 and 20 hours since.

## Before you call either

### Adobe Firefly API

1. Call the REST async endpoints directly. `@adobe/firefly-apis` 2.0.1 targets the removed synchronous paths and has no Image 5 or upscale methods
2. Cache the IMS token and refresh it before its 24 hours run out
3. Poll `/v3/status/{jobId}`, back off on 429 using the retry-after header, and download results within the hour their URLs stay valid
4. Send `precise_upsampler_v1` to Upscale. `creative_upsampler_v1` returns 422 since 2026-04-24
5. Image 5 lives at `/v4/images/generate-async`. Image 3 and 4 stay on `/v3/images/generate-async`

### Black Forest Labs FLUX API

1. Poll the `polling_url` from the submit response, never a hand-built URL
2. Download `result.sample` straight away. It's gone after 10 minutes
3. Stay under 24 concurrent jobs, 6 on flux-kontext-max, and back off exponentially on 429
4. Treat 402 as out of credit, not as a retryable error
5. Use api.eu.bfl.ai or api.us.bfl.ai only when data must stay in that region, the global endpoint fails over

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