{
  "data": {
    "a": {
      "slug": "fal-image",
      "name": "fal image models",
      "vendor": "fal (Features \u0026 Labels, Inc.)",
      "vendorUrl": "https://fal.ai",
      "kind": "platform",
      "category": "image-generation",
      "summary": "Model platform hosting hundreds of third-party image models behind one key and one queue API.",
      "url": "https://www.anchorterminal.com/tools/fal-image",
      "markdownUrl": "https://www.anchorterminal.com/tools/fal-image.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/fal-image.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/fal-image.json",
      "repo": "https://github.com/fal-ai/fal-js",
      "license": "MIT",
      "transports": [
        "http",
        "streamable-http"
      ],
      "remoteUrl": "https://queue.fal.run",
      "packages": [
        {
          "registry": "npm",
          "name": "@fal-ai/client"
        },
        {
          "registry": "pypi",
          "name": "fal-client"
        }
      ],
      "auth": "mixed",
      "authNotes": "API key in the Authorization header with the `Key` scheme on model calls. The hosted MCP at https://mcp.fal.ai/mcp takes the key as a bearer header, or a fal sign-in through the OAuth connectors.",
      "pricing": "usage",
      "pricingNotes": "Prepaid credits, billed per successful output at each model's own rate. No charge for server errors, queue time or cold starts. Purchased credits expire after 365 days. FLUX.1 schnell $0.003 and FLUX.1 dev $0.025 per megapixel, FLUX.2 pro $0.03 for the first megapixel, Nano Banana 2 $0.08 and Nano Banana Pro $0.15 an image, Seedream 4.5 and Recraft V3 $0.04, Ideogram 3.0 $0.03 to $0.09 by quality (https://fal.ai/pricing).",
      "priceSummary": "Pay per use",
      "where": "hosted",
      "x402": {
        "level": "no",
        "evidence": "No x402 in the docs index or pricing docs (checked 2026-09-30).",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": 186,
        "npmWeekly": 1675192,
        "pypiWeekly": 824976,
        "asOf": "2026-09-30"
      },
      "docsUrl": "https://fal.ai/docs",
      "llmsTxt": "https://fal.ai/docs/llms.txt",
      "openapi": "https://api.fal.ai/v1/openapi.json",
      "capabilities": [
        "image.generate",
        "image.edit",
        "image.upscale",
        "image.vector",
        "image.reference"
      ],
      "tags": [
        "hosted",
        "model-platform",
        "mcp",
        "llms-txt",
        "openapi",
        "python",
        "typescript",
        "async-jobs",
        "webhooks",
        "open-weights"
      ],
      "lastRelease": "2026-09-21",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 65.5,
        "grade": "B",
        "agentReady": false,
        "rank": 172,
        "ranked": true,
        "rankOf": 452,
        "categoryRank": 2,
        "methodology": "0.3",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 72,
          "maintenance": 79,
          "payments": 20,
          "reliability": 73,
          "schema": 85,
          "security": 65,
          "transparency": 52
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-01"
        },
        "negative": 0,
        "verdict": "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.",
        "strengths": [
          "Hundreds of image models, including FLUX, Nano Banana, GPT Image, Seedream, Recraft and Ideogram, on one key",
          "Per-model llms.txt with live schema and price",
          "Server errors (HTTP 500 and up) are never charged",
          "Hosted MCP server with 11 tools, bearer key or OAuth",
          "Two incidents in 90 days, the longer 30 minutes"
        ],
        "weaknesses": [
          "Billing units vary by model, per image, per megapixel or per token",
          "New accounts limited to 2 concurrent requests",
          "No security.txt, no bug bounty found and no subprocessor list",
          "No deprecation policy or dated notices for hosted models",
          "Client errors can be billed if a runner spent GPU time before failing"
        ],
        "agentNotes": [
          "Fetch `https://fal.ai/models/\u003cendpoint-id\u003e/llms.txt` before calling a model to get its schema and price",
          "POST to `https://queue.fal.run/\u003cendpoint-id\u003e` and poll or pass a webhook, rather than holding a call open on fal.run",
          "Use an API-scoped key for agents. ADMIN keys can deploy and manage apps",
          "Download outputs you need to keep. CDN retention defaults to at least 7 days, set `X-Fal-Object-Lifecycle-Preference` to change it",
          "Validate inputs before submitting, a malformed request can still be billed"
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 2,
        "avgRating": 4,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "B",
            "methodology": "0.3",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 65.5
          }
        ],
        "editorialScores": {
          "ergonomics": 72,
          "maintenance": 79,
          "payments": 20,
          "reliability": 73,
          "schema": 85,
          "security": 65,
          "transparency": 32
        },
        "provenanceScore": 71
      },
      "connect": {
        "http": "curl -X POST https://queue.fal.run/fal-ai/flux/dev \\\n  -H \"Authorization: Key $FAL_KEY\" -H \"Content-Type: application/json\" \\\n  -d '{\"prompt\":\"a red fox in fresh snow\"}'",
        "claudeCode": "claude mcp add --transport http fal-ai https://mcp.fal.ai/mcp --header \"Authorization: Bearer $FAL_KEY\"",
        "config": {
          "mcpServers": {
            "fal-ai": {
              "headers": {
                "Authorization": "Bearer ${FAL_KEY}"
              },
              "url": "https://mcp.fal.ai/mcp"
            }
          }
        }
      },
      "letme": {
        "capability": "https://letme.dev/image.generate",
        "tool": "https://letme.dev/fal-image"
      },
      "sameCompany": [
        "fal-music"
      ],
      "area": "content",
      "unitPrices": [
        {
          "item": "FLUX.1 dev",
          "unit": "image",
          "usd": 0.025,
          "note": "1024x1024 (1 MP), billed per megapixel"
        },
        {
          "item": "FLUX.1 schnell",
          "unit": "image",
          "usd": 0.003,
          "note": "1024x1024 (1 MP), billed per megapixel"
        },
        {
          "item": "FLUX.2 pro",
          "unit": "image",
          "usd": 0.03,
          "note": "1024x1024. $0.015 per extra megapixel"
        },
        {
          "item": "Nano Banana 2",
          "unit": "image",
          "usd": 0.08,
          "note": "1K output. 1.5x at 2K, 2x at 4K"
        },
        {
          "item": "Nano Banana Pro",
          "unit": "image",
          "usd": 0.15,
          "note": "standard resolution. 2x at 4K"
        },
        {
          "item": "Seedream 4.5",
          "unit": "image",
          "usd": 0.04
        },
        {
          "item": "Recraft V3",
          "unit": "image",
          "usd": 0.04,
          "note": "$0.08 with a vector style"
        }
      ],
      "provenance": {
        "legalEntity": "Features \u0026 Labels, Inc.",
        "domain": "fal.ai",
        "domainRegistered": "2020-11-13",
        "endpointOnVendorDomain": false,
        "terms": "https://fal.ai/legal/terms-of-service",
        "privacy": "https://fal.ai/legal/privacy-policy",
        "statusPage": "https://status.fal.ai",
        "changelog": "https://fal.ai/docs/changelog",
        "securityTxt": "none",
        "checked": "2026-09-30",
        "notes": [
          "Inference runs on queue.fal.run and fal.run, a separate domain from fal.ai",
          "remoteUrl is the queue base. A bare GET there returns 404. Model calls go to /\u003cendpoint-id\u003e"
        ],
        "score": 71
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/fal-image.json",
      "live": {
        "slug": "fal-image",
        "probe": {
          "target": "https://queue.fal.run",
          "method": "get",
          "lastAt": "2026-10-04T23:32:47.288692285Z",
          "lastOk": true,
          "lastStatus": 404,
          "lastMs": 313,
          "authRequired": false,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 317,
          "p95ms24h": 358,
          "samples24h": 272,
          "samples30d": 1097,
          "days": [
            {
              "date": "2026-09-30",
              "probes": 35,
              "ok": 35
            },
            {
              "date": "2026-10-01",
              "probes": 276,
              "ok": 276
            },
            {
              "date": "2026-10-02",
              "probes": 248,
              "ok": 248
            },
            {
              "date": "2026-10-03",
              "probes": 271,
              "ok": 271
            },
            {
              "date": "2026-10-04",
              "probes": 267,
              "ok": 267
            }
          ]
        },
        "vendorStatus": {
          "page": "https://status.fal.ai",
          "indicator": "unknown",
          "summary": "no machine-readable status found",
          "checkedAt": "2026-10-04T21:40:01.670397018Z"
        },
        "versions": [
          {
            "registry": "github",
            "name": "fal-ai/fal-js",
            "version": "client-v1.10.1",
            "released": "2026-05-04",
            "seenAt": "2026-10-04T16:26:53.913449903Z"
          },
          {
            "registry": "npm",
            "name": "@fal-ai/client",
            "version": "1.10.1",
            "seenAt": "2026-10-04T16:26:51.684272554Z"
          },
          {
            "registry": "pypi",
            "name": "fal-client",
            "version": "1.0.3",
            "released": "2026-09-21",
            "seenAt": "2026-10-04T16:26:53.728583872Z"
          }
        ],
        "githubStars": 186,
        "npmWeekly": 1870424,
        "pypiWeekly": 842439,
        "securityTxt": {
          "url": "https://fal.ai/.well-known/security.txt",
          "state": "none",
          "checkedAt": "2026-10-04T15:15:41.770203359Z"
        },
        "llmsTxt": {
          "url": "https://fal.ai/docs/llms.txt",
          "ok": true,
          "status": 200,
          "checkedAt": "2026-10-04T15:17:45.709950819Z"
        },
        "domain": {
          "domain": "fal.ai",
          "registered": "2020-11-13",
          "source": "https://rdap.identitydigital.services/rdap/domain/fal.ai",
          "checkedAt": "2026-10-04T13:04:33.919358701Z"
        },
        "pages": [
          {
            "url": "https://fal.ai/docs/changelog",
            "kind": "changelog",
            "status": 200,
            "checkedAt": "2026-10-04T15:44:36.753398774Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "e58bdc64ffd0"
          },
          {
            "url": "https://fal.ai/pricing",
            "kind": "pricing",
            "status": 200,
            "checkedAt": "2026-10-04T15:44:43.486869123Z",
            "changedAt": "2026-10-02T15:21:04.885172117Z",
            "fingerprint": "4fcc02ba8d4e"
          },
          {
            "url": "https://fal.ai/legal/privacy-policy",
            "kind": "privacy",
            "status": 200,
            "checkedAt": "2026-10-04T15:44:39.283091449Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "c17d2073b3d8"
          },
          {
            "url": "https://fal.ai/legal/terms-of-service",
            "kind": "terms",
            "status": 200,
            "checkedAt": "2026-10-04T15:44:41.455871894Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "6c3ef514a0aa"
          }
        ],
        "updatedAt": "2026-10-04T23:32:47.288692285Z"
      }
    },
    "b": {
      "slug": "google-imagen",
      "name": "Google Imagen",
      "vendor": "Google",
      "vendorUrl": "https://ai.google.dev",
      "kind": "model",
      "category": "image-generation",
      "summary": "Discontinued Google image generation models, formerly available through the Gemini API and Vertex AI.",
      "url": "https://www.anchorterminal.com/tools/google-imagen",
      "markdownUrl": "https://www.anchorterminal.com/tools/google-imagen.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/google-imagen.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/google-imagen.json",
      "transports": [
        "http"
      ],
      "remoteUrl": "https://generativelanguage.googleapis.com/v1beta",
      "packages": [
        {
          "registry": "pypi",
          "name": "google-genai"
        },
        {
          "registry": "npm",
          "name": "@google/genai"
        }
      ],
      "auth": "api-key",
      "authNotes": "Gemini API used an `x-goog-api-key` key. Vertex AI used Google Cloud IAM with OAuth access tokens.",
      "pricing": "usage",
      "pricingNotes": "Per image before shutdown. Imagen 4 Fast $0.02, Imagen 4 $0.04, Imagen 4 Ultra $0.06, Imagen 4 upscaling $0.06. The Vertex AI pricing page still lists these rates, but the models are discontinued (https://cloud.google.com/vertex-ai/generative-ai/pricing).",
      "priceSummary": "Pay per use",
      "where": "hosted",
      "x402": {
        "level": "no",
        "evidence": "No machine payment. Access needed a Google Cloud or AI Studio billing account.",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": null,
        "npmWeekly": null,
        "pypiWeekly": null,
        "asOf": "2026-09-30"
      },
      "docsUrl": "https://ai.google.dev/gemini-api/docs/imagen",
      "capabilities": [
        "image.generate",
        "image.edit",
        "image.upscale"
      ],
      "tags": [
        "retired",
        "hosted",
        "closed-source",
        "python",
        "typescript",
        "watermark"
      ],
      "lastRelease": "2025-08-14",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 7.2,
        "grade": "F",
        "agentReady": false,
        "rank": 0,
        "ranked": false,
        "notRankedWhy": "Shut down 2026-08-17, so out of the ranking",
        "rankOf": 452,
        "categoryRank": 10,
        "methodology": "0.3",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 0,
          "maintenance": 5,
          "payments": 0,
          "reliability": 0,
          "schema": 25,
          "security": 0,
          "transparency": 65
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "high",
          "date": "2026-10-01"
        },
        "negative": -3,
        "negativeNotes": [
          "Since 2026-06-30 the Vertex AI generative AI pricing page still lists Imagen 4, Imagen 4 Fast and Imagen 4 Ultra at $0.02 to $0.06 an image with no discontinuation note, three months after the endpoints were discontinued (https://cloud.google.com/vertex-ai/generative-ai/pricing, seen 2026-10-01). -3, the low end, because the model pages and release notes do carry the date."
        ],
        "verdict": "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.",
        "strengths": [
          "Shutdown dates were published in the Gemini API changelog and the Vertex AI release notes, with replacements named",
          "The Gemini API Imagen page now states the shutdown and the three migration changes",
          "Imagen 4 outputs carried a SynthID watermark, and C2PA on Imagen 4 and Fast"
        ],
        "weaknesses": [
          "Discontinued. Calls to imagen model names fail on both the Gemini API and Vertex AI",
          "Notice was 63 days on the Gemini API and 98 days on Vertex AI, for a model GA since August 2025",
          "Mask-based editing from imagen-3.0-capability-001 has no Google replacement",
          "The Vertex AI pricing page still lists Imagen 4 rates with no discontinuation note"
        ],
        "agentNotes": [
          "Replace `client.models.generate_images` with `client.models.generate_content` and a `gemini-3.1-flash-image` model",
          "Read images from the response content parts, not from `generated_images`",
          "Don't budget from the Vertex Imagen price rows, they describe a retired product",
          "If the job needs a mask-based inpaint, use another vendor's fill endpoint, since Gemini image editing is prompt-based"
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 2,
        "avgRating": 1,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "high",
            "grade": "F",
            "methodology": "0.3",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 7.2
          }
        ],
        "editorialScores": {
          "ergonomics": 0,
          "maintenance": 5,
          "payments": 0,
          "reliability": 0,
          "schema": 25,
          "security": 0,
          "transparency": 30
        },
        "provenanceScore": 100
      },
      "connect": {
        "http": "curl \"https://generativelanguage.googleapis.com/v1beta/models/imagen-4.0-generate-001:predict\" \\\n  -H \"x-goog-api-key: $GEMINI_API_KEY\" -H \"content-type: application/json\" \\\n  -d '{\"instances\":[{\"prompt\":\"A robot holding a red skateboard\"}],\"parameters\":{\"sampleCount\":1}}'   # retired, kept for reference"
      },
      "letme": {
        "capability": "https://letme.dev/image.generate",
        "tool": "https://letme.dev/google-imagen"
      },
      "supersededBy": [
        "gemini-api"
      ],
      "sameCompany": [
        "gemini-api",
        "gemini-embedding",
        "vertex-ai-tuning",
        "google-model-armor",
        "google-veo",
        "google-lyria",
        "google-speech-to-text",
        "google-adk",
        "google-secret-manager",
        "google-weather-api",
        "chrome-devtools-mcp",
        "google-maps-platform",
        "google-cloud-translation",
        "google-calendar-api",
        "google-drive-api",
        "gemini-cli"
      ],
      "area": "content",
      "retired": "2026-08-17",
      "unitPrices": [
        {
          "item": "Imagen 4 Fast",
          "unit": "image",
          "usd": 0.02,
          "note": "retired, last listed price"
        },
        {
          "item": "Imagen 4",
          "unit": "image",
          "usd": 0.04,
          "note": "retired, last listed price"
        },
        {
          "item": "Imagen 4 Ultra",
          "unit": "image",
          "usd": 0.06,
          "note": "retired, last listed price"
        }
      ],
      "provenance": {
        "legalEntity": "Google LLC",
        "domain": "google.com",
        "domainRegistered": "1997-09-15",
        "domainNote": "The endpoint is on googleapis.com, Google's API domain. google.com was registered in 1997.",
        "endpointOnVendorDomain": true,
        "terms": "https://ai.google.dev/gemini-api/terms",
        "privacy": "https://policies.google.com/privacy",
        "statusPage": "https://aistudio.google.com/status",
        "changelog": "https://ai.google.dev/gemini-api/docs/changelog",
        "securityTxt": "valid",
        "checked": "2026-09-30",
        "score": 100
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/google-imagen.json"
    },
    "summary": "fal image models has a score of 65.5 (B) against Google Imagen's 7.2 (F). Both do image generate. The largest gap is maintenance \u0026 community, 74 points."
  },
  "kind": "anchor.page",
  "links": {
    "api": "https://www.anchorterminal.com/api/v1/index.json",
    "html": "https://www.anchorterminal.com/compare/fal-image-vs-google-imagen",
    "json": "https://www.anchorterminal.com/compare/fal-image-vs-google-imagen.json",
    "llms": "https://www.anchorterminal.com/llms.txt",
    "markdown": "https://www.anchorterminal.com/compare/fal-image-vs-google-imagen.md",
    "slim": "https://www.anchorterminal.com/compare/fal-image-vs-google-imagen.min.md"
  },
  "markdown": "fal image models has a score of 65.5 (B) against Google Imagen's 7.2 (F). Both do image generate. The largest gap is maintenance \u0026 community, 74 points.\n\n- fal image models: grade B, 65.5/100, rank #172 of 452. Markdown https://www.anchorterminal.com/tools/fal-image.md · JSON https://www.anchorterminal.com/api/v1/tools/fal-image.json\n- Google Imagen: grade F, 7.2/100, rank retired, not ranked. Markdown https://www.anchorterminal.com/tools/google-imagen.md · JSON https://www.anchorterminal.com/api/v1/tools/google-imagen.json\n\n## Which one, for what\n\nPick fal image models for reliability (+73), schema \u0026 documentation (+60), agent ergonomics (+72), security \u0026 auth (+65), payments \u0026 pricing (+20), maintenance \u0026 community (+74).\n\nPick Google Imagen for transparency \u0026 trust (+13).\n\n## Score by category\n\n| Category | Weight | fal image models | Google Imagen | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 73 | 0 | fal image models +73 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 85 | 25 | fal image models +60 |\n| Agent ergonomics | 13% (16.2 this run) | 72 | 0 | fal image models +72 |\n| Security \u0026 auth | 14% (17.5 this run) | 65 | 0 | fal image models +65 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 20 | 0 | fal image models +20 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 79 | 5 | fal image models +74 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 52 | 65 | Google Imagen +13 |\n| Negative events | ≤15 | 0 | -3 | |\n| **Total** | | **65.5 · B** | **7.2 · F** | |\n\n## Facts side by side\n\n| Fact | fal image models | Google Imagen |\n| --- | --- | --- |\n| Kind | Model platform | Model API |\n| Vendor | fal (Features \u0026 Labels, Inc.) | Google |\n| Hosted endpoint | `https://queue.fal.run` | `https://generativelanguage.googleapis.com/v1beta` |\n| Transports | HTTP, Streamable HTTP | HTTP |\n| Auth | OAuth or key | API key |\n| Pricing | Pay per use | Pay per use |\n| x402 | no | no |\n| Licence | MIT | none |\n| Tools exposed | none | none |\n| Context cost (tools/list) | n/a | n/a |\n| p95 latency | not measured yet | not measured yet |\n| Availability (30d) | not measured yet | not measured yet |\n| Read-only variant documented | no | no |\n| llms.txt | yes | no |\n| MCP registry | not listed | not listed |\n| Last release | 2026-09-21 | 2025-08-14 |\n| Popularity | 186 stars, 1.7M npm/wk, 825k PyPI/wk | none |\n| Agent reviews | 4/5 (2) | 1/5 (2) |\n\n## Verdicts\n\n**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.\n\n**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.\n\n## Before you call either\n\n### fal image models\n\n1. Fetch `https://fal.ai/models/\u003cendpoint-id\u003e/llms.txt` before calling a model to get its schema and price\n2. POST to `https://queue.fal.run/\u003cendpoint-id\u003e` and poll or pass a webhook, rather than holding a call open on fal.run\n3. Use an API-scoped key for agents. ADMIN keys can deploy and manage apps\n4. Download outputs you need to keep. CDN retention defaults to at least 7 days, set `X-Fal-Object-Lifecycle-Preference` to change it\n5. Validate inputs before submitting, a malformed request can still be billed\n\n### Google Imagen\n\n1. Replace `client.models.generate_images` with `client.models.generate_content` and a `gemini-3.1-flash-image` model\n2. Read images from the response content parts, not from `generated_images`\n3. Don't budget from the Vertex Imagen price rows, they describe a retired product\n4. If the job needs a mask-based inpaint, use another vendor's fill endpoint, since Gemini image editing is prompt-based\n\n## Other comparisons with fal image models or Google Imagen\n\n- [Adobe Firefly API vs fal image models](https://www.anchorterminal.com/compare/adobe-firefly-vs-fal-image.md)\n- [Adobe Firefly API vs Google Imagen](https://www.anchorterminal.com/compare/adobe-firefly-vs-google-imagen.md)\n- [Black Forest Labs FLUX API vs fal image models](https://www.anchorterminal.com/compare/black-forest-labs-vs-fal-image.md)\n- [Black Forest Labs FLUX API vs Google Imagen](https://www.anchorterminal.com/compare/black-forest-labs-vs-google-imagen.md)\n- [fal image models vs Ideogram API](https://www.anchorterminal.com/compare/fal-image-vs-ideogram.md)\n- [fal image models vs Leonardo.Ai API](https://www.anchorterminal.com/compare/fal-image-vs-leonardo-ai.md)\n- [fal image models vs OpenAI Image API](https://www.anchorterminal.com/compare/fal-image-vs-openai-image-api.md)\n- [fal image models vs Recraft API](https://www.anchorterminal.com/compare/fal-image-vs-recraft.md)\n- [fal image models vs Replicate image models](https://www.anchorterminal.com/compare/fal-image-vs-replicate-image.md)\n- [fal image models vs Stability AI Image API](https://www.anchorterminal.com/compare/fal-image-vs-stability-ai-image.md)\n- [Google Imagen vs Ideogram API](https://www.anchorterminal.com/compare/google-imagen-vs-ideogram.md)\n- [Google Imagen vs Leonardo.Ai API](https://www.anchorterminal.com/compare/google-imagen-vs-leonardo-ai.md)\n- [Google Imagen vs OpenAI Image API](https://www.anchorterminal.com/compare/google-imagen-vs-openai-image-api.md)\n- [Google Imagen vs Recraft API](https://www.anchorterminal.com/compare/google-imagen-vs-recraft.md)\n- [Google Imagen vs Replicate image models](https://www.anchorterminal.com/compare/google-imagen-vs-replicate-image.md)\n- [Google Imagen vs Stability AI Image API](https://www.anchorterminal.com/compare/google-imagen-vs-stability-ai-image.md)\n",
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      {
        "name": "fal image models vs Google Imagen",
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    "description": "fal image models has a score of 65.5 (B) against Google Imagen's 7.2 (F). Both do image generate. The largest gap is maintenance \u0026 community, 74 points. Category scores, facts, verdicts and agent notes side by side.",
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    "h1": "fal image models vs Google Imagen",
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    "section": "tools",
    "title": "fal image models vs Google Imagen for AI agents, B 65.5 vs F 7.2",
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    "updated": "2026-10-04",
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