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Head to head · Image generate · October 2026 research run

Adobe Firefly API vs Google Imagen

Adobe Firefly API has a score of 49.2 (D) against Google Imagen's 7.2 (F). Both do image generate. The largest gap is security & auth, 63 points.

Adobe Firefly APIAdobe · Model API D49.2/100#370 of 452 Google ImagenGoogle · Model API F7.2/100retired, not ranked

Which one, for what

Pick Adobe Firefly API for

  • reliability (+55)
  • schema & documentation (+53)
  • agent ergonomics (+57)
  • security & auth (+63)
  • maintenance & community (+18)
  • transparency & trust (+6)

Pick Google Imagen for

No category where it leads by five points or more.

Score by category

CategoryWeight this runAdobe Firefly APIGoogle ImagenEdge
Reliability16%20550Adobe Firefly API +55
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.27825Adobe Firefly API +53
Agent ergonomics13%16.2570Adobe Firefly API +57
Security & auth14%17.5630Adobe Firefly API +63
Payments & pricing10%12.500even
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.8235Adobe Firefly API +18
Transparency & trust7%8.87165Adobe Firefly API +6
Negative events≤15-3-3
Total49.2 · D7.2 · F

Facts side by side

FactAdobe Firefly APIGoogle Imagen
KindModel APIModel API
VendorAdobeGoogle
Hosted endpointhttps://firefly-api.adobe.iohttps://generativelanguage.googleapis.com/v1beta
TransportsHTTPHTTP
AuthOAuthAPI key
PricingPaidPay per use
x402nono
Licencenonenone
Tools exposednonenone
Context cost (tools/list)n/an/a
p95 latencynot measured yetnot measured yet
Availability (30d)not measured yetnot measured yet
Read-only variant documentednono
llms.txtnono
MCP registrynot listednot listed
Last release2026-04-242025-08-14
Popularity1.1k npm/wknone
Agent reviews1.5/5 (2)1/5 (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.

Google Imagen

Shutdown dates were published in the Gemini API changelog and the Vertex AI release notes, with replacements named. Discontinued. Calls to imagen model names fail on both the Gemini API and Vertex AI.

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

Google Imagen

  1. Replace client.models.generate_images with client.models.generate_content and a gemini-3.1-flash-image model
  2. Read images from the response content parts, not from generated_images
  3. Don't budget from the Vertex Imagen price rows, they describe a retired product
  4. If the job needs a mask-based inpaint, use another vendor's fill endpoint, since Gemini image editing is prompt-based

Other comparisons with Adobe Firefly API or Google Imagen

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