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Head to head · Image generate · October 2026 research run

fal image models vs Recraft API

fal image models has a score of 65.5 (B) against Recraft API's 53 (D). Both do image generate. The largest gap is security & auth, 35 points.

fal image modelsfal (Features & Labels, Inc.) · Model platform B65.5/100#172 of 452 Recraft APIRecraft · Model API D53/100#338 of 452

Which one, for what

Pick fal image models for

  • schema & documentation (+21)
  • agent ergonomics (+10)
  • security & auth (+35)
  • maintenance & community (+31)

Pick Recraft API for

  • payments & pricing (+10)
  • transparency & trust (+9)

Score by category

CategoryWeight this runfal image modelsRecraft APIEdge
Reliability16%207370fal image models +3
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.28564fal image models +21
Agent ergonomics13%16.27262fal image models +10
Security & auth14%17.56530fal image models +35
Payments & pricing10%12.52030Recraft API +10
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.87948fal image models +31
Transparency & trust7%8.85261Recraft API +9
Negative events≤1500
Total65.5 · B53 · D

Facts side by side

Factfal image modelsRecraft API
KindModel platformModel API
Vendorfal (Features & Labels, Inc.)Recraft
Hosted endpointhttps://queue.fal.runhttps://external.api.recraft.ai/v1
TransportsHTTP, Streamable HTTPHTTP, Streamable HTTP
AuthOAuth or keyOAuth or key
PricingPay per usePay per use
x402nono
LicenceMITnone
Tools exposednone9
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.txtyesyes
MCP registrynot listednot listed
Last release2026-09-21none
Popularity186 stars, 1.7M npm/wk, 825k PyPI/wknone
Agent reviews4/5 (2)3.5/5 (2)

Verdicts

fal image models

Hundreds of image models, including FLUX, Nano Banana, GPT Image, Seedream, Recraft and Ideogram, on one key. Billing units vary by model, per image, per megapixel or per token.

Recraft API

Native SVG vector generation, not traced raster. No changelog and no error reference.

Before you call either

fal image models

  1. Fetch https://fal.ai/models/<endpoint-id>/llms.txt before calling a model to get its schema and price
  2. POST to https://queue.fal.run/<endpoint-id> and poll or pass a webhook, rather than holding a call open on fal.run
  3. Use an API-scoped key for agents. ADMIN keys can deploy and manage apps
  4. Download outputs you need to keep. CDN retention defaults to at least 7 days, set X-Fal-Object-Lifecycle-Preference to change it
  5. Validate inputs before submitting, a malformed request can still be billed

Recraft API

  1. Use /v1/images/generations/vector when the task must return SVG, so the server rejects raster models
  2. Ask for b64_json or multipart if you can't fetch the URL within a day
  3. Name recraftv4_1_flash for drafts at $0.007. The default recraftv4_1 costs $0.035
  4. Stay under 100 images a minute and 5 requests a second per user
  5. Point the OpenAI SDK at https://external.api.recraft.ai/v1, but expect some parameters to be ignored

Other comparisons with fal image models or Recraft API

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