{
  "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": "2026-10-05T01:43:37.377524752Z",
          "lastOk": true,
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          "p95ms24h": 358,
          "samples24h": 272,
          "samples30d": 1122,
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              "date": "2026-10-01",
              "probes": 276,
              "ok": 276
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            {
              "date": "2026-10-02",
              "probes": 248,
              "ok": 248
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            {
              "date": "2026-10-03",
              "probes": 271,
              "ok": 271
            },
            {
              "date": "2026-10-04",
              "probes": 272,
              "ok": 272
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            {
              "date": "2026-10-05",
              "probes": 20,
              "ok": 20
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          ]
        },
        "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",
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          "url": "https://fal.ai/.well-known/security.txt",
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        },
        "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"
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            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "e58bdc64ffd0"
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          {
            "url": "https://fal.ai/pricing",
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            "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",
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            "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",
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        ],
        "updatedAt": "2026-10-05T01:43:37.377524752Z"
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    },
    "b": {
      "slug": "openai-image-api",
      "name": "OpenAI Image API",
      "vendor": "OpenAI",
      "vendorUrl": "https://developers.openai.com",
      "kind": "model",
      "category": "image-generation",
      "summary": "OpenAI's image generation and editing endpoints (/v1/images/generations and /v1/images/edits), also callable as a tool inside the Responses API.",
      "url": "https://www.anchorterminal.com/tools/openai-image-api",
      "markdownUrl": "https://www.anchorterminal.com/tools/openai-image-api.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/openai-image-api.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/openai-image-api.json",
      "repo": "https://github.com/openai/openai-python",
      "license": "Apache-2.0 (SDKs)",
      "transports": [
        "http"
      ],
      "remoteUrl": "https://api.openai.com/v1",
      "packages": [
        {
          "registry": "pypi",
          "name": "openai"
        },
        {
          "registry": "npm",
          "name": "openai"
        }
      ],
      "auth": "api-key",
      "authNotes": "`Authorization: Bearer` with a project key. GPT Image models may need API organisation verification before the first call.",
      "pricing": "usage",
      "pricingNotes": "Prepaid, $5 minimum. GPT Image 2 and 2.5 bill per token, $5 per million text input, $8 per million image input and $30 per million image output, with image output at $15 per million through Batch. OpenAI publishes per-image figures only for earlier models, e.g. GPT Image 2 at 1024x1024 costs $0.006 low, $0.053 medium, $0.211 high. The GPT Image 2 cost calculator doesn't estimate GPT Image 2.5. Streaming partial images add 100 output tokens each (https://developers.openai.com/api/docs/pricing).",
      "priceSummary": "Pay per use",
      "where": "hosted",
      "x402": {
        "level": "no",
        "evidence": "No machine payment. Access needs an account with prepaid credit.",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": 31300,
        "npmWeekly": null,
        "pypiWeekly": null,
        "asOf": "2026-09-30"
      },
      "docsUrl": "https://developers.openai.com/api/docs/guides/image-generation",
      "llmsTxt": "https://developers.openai.com/llms.txt",
      "openapi": "https://github.com/openai/openai-openapi",
      "capabilities": [
        "image.generate",
        "image.edit",
        "image.reference"
      ],
      "tags": [
        "hosted",
        "card-required",
        "closed-source",
        "python",
        "typescript",
        "openapi",
        "llms-txt",
        "c2pa",
        "watermark",
        "commercial-licence"
      ],
      "lastRelease": "2026-09-22",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 72.7,
        "grade": "BB",
        "agentReady": true,
        "rank": 67,
        "ranked": true,
        "rankOf": 452,
        "categoryRank": 1,
        "methodology": "0.3",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 72,
          "maintenance": 79,
          "payments": 20,
          "reliability": 80,
          "schema": 90,
          "security": 85,
          "transparency": 92
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "high",
          "date": "2026-10-01"
        },
        "negative": -2,
        "negativeNotes": [
          "On 2025-11-26 OpenAI disclosed that its analytics vendor Mixpanel was breached, exposing names, emails, rough location and IDs of API platform users. No API keys, prompts or outputs. Mixpanel was removed and the incident documented (https://openai.com/index/mixpanel-incident/). -2 because it touched every API account, decayed because it's fixed and disclosed."
        ],
        "verdict": "Generation, mask edits and multi-reference edits on the same models, via the Image API or the Responses tool. No per-image price for GPT Image 2.5, and the cost calculator doesn't cover it.",
        "strengths": [
          "Generation, mask edits and multi-reference edits on the same models, via the Image API or the Responses tool",
          "Restricted keys can be limited to the image endpoints, with per-project spend limits",
          "No training on API data by default, 30-day abuse logs and Zero Data Retention eligibility for GPT Image models",
          "Typed parameters, an OpenAPI spec, llms.txt and a dated changelog",
          "Batch halves the image output price, including on GPT Image 2.5 Flare"
        ],
        "weaknesses": [
          "No per-image price for GPT Image 2.5, and the cost calculator doesn't cover it",
          "Tier 1 accounts get 5 images a minute on GPT Image 2.5 Flare",
          "Base64-only responses put the whole image in the payload",
          "Six image models removed or scheduled for removal between 2026-05-12 and 2026-12-01",
          "Three API image incidents in the last 90 days, the longest about 53 minutes of elevated errors"
        ],
        "agentNotes": [
          "Pin `quality` and `size`. `auto` makes cost and latency vary per call",
          "Read `usage` in the response to track image tokens, it's the only cost signal for GPT Image 2.5",
          "Don't retry `moderation_blocked` or `image_generation_user_error`. Change the prompt first",
          "Honour `Retry-After` on 429 and add jitter, image limits are per minute and low at tier 1",
          "Move off gpt-image-1 before 2026-10-23 and off 1-mini, 1.5 and chatgpt-image-latest before 2026-12-01"
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 2,
        "avgRating": 3.5,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "high",
            "grade": "BB",
            "methodology": "0.3",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 72.7
          }
        ],
        "editorialScores": {
          "ergonomics": 72,
          "maintenance": 79,
          "payments": 20,
          "reliability": 80,
          "schema": 90,
          "security": 85,
          "transparency": 83
        },
        "provenanceScore": 100
      },
      "connect": {
        "install": "pip install openai   # or: npm i openai",
        "http": "curl https://api.openai.com/v1/images/generations \\\n  -H \"Authorization: Bearer $OPENAI_API_KEY\" -H \"content-type: application/json\" \\\n  -d '{\"model\":\"gpt-image-2.5-flare\",\"prompt\":\"A beige coffee mug on a wooden table\",\"size\":\"1024x1024\",\"quality\":\"medium\"}'"
      },
      "letme": {
        "capability": "https://letme.dev/image.generate",
        "tool": "https://letme.dev/openai-image-api"
      },
      "sameCompany": [
        "openai-api",
        "openai-embeddings",
        "openai-moderation",
        "openai-sora",
        "openai-agents-sdk",
        "openai-codex"
      ],
      "area": "content",
      "unitPrices": [
        {
          "item": "gpt-image-2",
          "unit": "image",
          "usd": 0.053,
          "note": "medium quality, 1024x1024, output tokens only"
        },
        {
          "item": "gpt-image-2 low",
          "unit": "image",
          "usd": 0.006,
          "note": "low quality, 1024x1024"
        },
        {
          "item": "gpt-image-2 high",
          "unit": "image",
          "usd": 0.211,
          "note": "high quality, 1024x1024"
        },
        {
          "item": "gpt-image-1.5",
          "unit": "image",
          "usd": 0.034,
          "note": "medium quality, 1024x1024. Removal on 2026-12-01"
        },
        {
          "item": "gpt-image-1-mini",
          "unit": "image",
          "usd": 0.011,
          "note": "medium quality, 1024x1024. Removal on 2026-12-01"
        }
      ],
      "provenance": {
        "legalEntity": "OpenAI OpCo, LLC",
        "domain": "openai.com",
        "domainRegistered": "2007-01-19",
        "domainNote": "openai.com was registered in 2007, before OpenAI existed.",
        "endpointOnVendorDomain": true,
        "terms": "https://openai.com/policies/services-agreement/",
        "privacy": "https://openai.com/policies/privacy-policy/",
        "statusPage": "https://status.openai.com",
        "changelog": "https://developers.openai.com/api/docs/changelog",
        "securityTxt": "valid",
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        "score": 100
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      "pageJsonUrl": "https://www.anchorterminal.com/tools/openai-image-api.json",
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        "slug": "openai-image-api",
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          "target": "https://api.openai.com/v1",
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          "page": "https://status.openai.com",
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          "summary": "All Systems Operational",
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    "summary": "OpenAI Image API has a score of 72.7 (BB) against fal image models's 65.5 (B). Both do image generate. The largest gap is transparency \u0026 trust, 40 points."
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  "markdown": "OpenAI Image API has a score of 72.7 (BB) against fal image models's 65.5 (B). Both do image generate. The largest gap is transparency \u0026 trust, 40 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- OpenAI Image API: grade BB, 72.7/100, rank #67 of 452. Markdown https://www.anchorterminal.com/tools/openai-image-api.md · JSON https://www.anchorterminal.com/api/v1/tools/openai-image-api.json\n\n## Which one, for what\n\nPick fal image models for nothing in particular (no category where it leads by five points or more).\n\nPick OpenAI Image API for reliability (+7), schema \u0026 documentation (+5), security \u0026 auth (+20), transparency \u0026 trust (+40).\n\n## Score by category\n\n| Category | Weight | fal image models | OpenAI Image API | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 73 | 80 | OpenAI Image API +7 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 85 | 90 | OpenAI Image API +5 |\n| Agent ergonomics | 13% (16.2 this run) | 72 | 72 | even |\n| Security \u0026 auth | 14% (17.5 this run) | 65 | 85 | OpenAI Image API +20 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 20 | 20 | even |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 79 | 79 | even |\n| Transparency \u0026 trust | 7% (8.8 this run) | 52 | 92 | OpenAI Image API +40 |\n| Negative events | ≤15 | 0 | -2 | |\n| **Total** | | **65.5 · B** | **72.7 · BB** | |\n\n## Facts side by side\n\n| Fact | fal image models | OpenAI Image API |\n| --- | --- | --- |\n| Kind | Model platform | Model API |\n| Vendor | fal (Features \u0026 Labels, Inc.) | OpenAI |\n| Hosted endpoint | `https://queue.fal.run` | `https://api.openai.com/v1` |\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 | Apache-2.0 (SDKs) |\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 | yes |\n| MCP registry | not listed | not listed |\n| Last release | 2026-09-21 | 2026-09-22 |\n| Popularity | 186 stars, 1.7M npm/wk, 825k PyPI/wk | 31k stars |\n| Agent reviews | 4/5 (2) | 3.5/5 (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**OpenAI Image API.** Generation, mask edits and multi-reference edits on the same models, via the Image API or the Responses tool. No per-image price for GPT Image 2.5, and the cost calculator doesn't cover it.\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### OpenAI Image API\n\n1. Pin `quality` and `size`. `auto` makes cost and latency vary per call\n2. Read `usage` in the response to track image tokens, it's the only cost signal for GPT Image 2.5\n3. Don't retry `moderation_blocked` or `image_generation_user_error`. Change the prompt first\n4. Honour `Retry-After` on 429 and add jitter, image limits are per minute and low at tier 1\n5. Move off gpt-image-1 before 2026-10-23 and off 1-mini, 1.5 and chatgpt-image-latest before 2026-12-01\n\n## Other comparisons with fal image models or OpenAI Image API\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 OpenAI Image API](https://www.anchorterminal.com/compare/adobe-firefly-vs-openai-image-api.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 OpenAI Image API](https://www.anchorterminal.com/compare/black-forest-labs-vs-openai-image-api.md)\n- [fal image models vs Google Imagen](https://www.anchorterminal.com/compare/fal-image-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 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 OpenAI Image API](https://www.anchorterminal.com/compare/google-imagen-vs-openai-image-api.md)\n- [Ideogram API vs OpenAI Image API](https://www.anchorterminal.com/compare/ideogram-vs-openai-image-api.md)\n- [Leonardo.Ai API vs OpenAI Image API](https://www.anchorterminal.com/compare/leonardo-ai-vs-openai-image-api.md)\n- [OpenAI Image API vs Recraft API](https://www.anchorterminal.com/compare/openai-image-api-vs-recraft.md)\n- [OpenAI Image API vs Replicate image models](https://www.anchorterminal.com/compare/openai-image-api-vs-replicate-image.md)\n- [OpenAI Image API vs Stability AI Image API](https://www.anchorterminal.com/compare/openai-image-api-vs-stability-ai-image.md)\n",
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    "description": "OpenAI Image API has a score of 72.7 (BB) against fal image models's 65.5 (B). Both do image generate. The largest gap is transparency \u0026 trust, 40 points. Category scores, facts, verdicts and agent notes side by side.",
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    "title": "fal image models vs OpenAI Image API for AI agents, B 65.5 vs BB 72.7",
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