{
  "data": {
    "a": {
      "slug": "black-forest-labs",
      "name": "Black Forest Labs FLUX API",
      "vendor": "Black Forest Labs",
      "vendorUrl": "https://bfl.ai",
      "kind": "model",
      "category": "image-generation",
      "summary": "Black Forest Labs' hosted API for the FLUX image models.",
      "url": "https://www.anchorterminal.com/tools/black-forest-labs",
      "markdownUrl": "https://www.anchorterminal.com/tools/black-forest-labs.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/black-forest-labs.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/black-forest-labs.json",
      "transports": [
        "http",
        "streamable-http"
      ],
      "remoteUrl": "https://api.bfl.ai/v1",
      "packages": [],
      "auth": "mixed",
      "authNotes": "REST API takes the key in an `x-key` header. The hosted MCP server at mcp.bfl.ai uses OAuth with a BFL account and bills the organisation you pick at sign-in.",
      "pricing": "usage",
      "pricingNotes": "Prepaid credits, 1 credit is $0.01, same price in API and Playground. FLUX.2 is priced by output megapixel. [klein] 4B from $0.014, [klein] 9B from $0.015, [pro] from $0.03 (edits from $0.045), [flex] from $0.05, [max] from $0.07. FLUX.1 Kontext [pro] $0.04, Kontext [max] $0.08, FLUX1.1 [pro] $0.04, Ultra $0.06. Batches cost the per-image price times the count (https://bfl.ai/pricing).",
      "priceSummary": "$0.01 / credit",
      "where": "hosted",
      "x402": {
        "level": "no",
        "evidence": "No machine payment. Access needs prepaid credits on a BFL account.",
        "endpoints": []
      },
      "toolCount": 7,
      "popularity": {
        "githubStars": null,
        "npmWeekly": null,
        "pypiWeekly": null,
        "asOf": "2026-09-30"
      },
      "docsUrl": "https://docs.bfl.ai",
      "llmsTxt": "https://docs.bfl.ai/llms.txt",
      "openapi": "https://api.bfl.ai/openapi.json",
      "registryName": "io.github.black-forest-labs/flux-mcp",
      "capabilities": [
        "image.generate",
        "image.edit",
        "image.reference"
      ],
      "tags": [
        "hosted",
        "mcp",
        "llms-txt",
        "openapi",
        "async-jobs",
        "webhooks",
        "open-weights",
        "c2pa",
        "commercial-licence"
      ],
      "lastRelease": "2026-09-10",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 64.2,
        "grade": "B",
        "agentReady": false,
        "rank": 186,
        "ranked": true,
        "rankOf": 452,
        "categoryRank": 3,
        "methodology": "0.3",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 67,
          "maintenance": 73,
          "payments": 20,
          "reliability": 65,
          "schema": 88,
          "security": 65,
          "transparency": 66
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-01"
        },
        "negative": 0,
        "verdict": "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.",
        "strengths": [
          "Per-image and per-megapixel prices published per model, from $0.014",
          "Up to 10 reference images and 4MP output on FLUX.2",
          "EU and US regional endpoints with a global endpoint that fails over",
          "Official hosted MCP server with OAuth, listed in the MCP registry",
          "OpenAPI specs, llms.txt and an errors page covering every task status"
        ],
        "weaknesses": [
          "Two cluster outages over four hours (19 and 20 August 2026) and slowdowns of 6.5 and 20 hours since",
          "Result URLs expire after 10 minutes",
          "Prompts and uploads may be used for training unless you email an opt-out",
          "Developer terms allow changing or removing parts of the service without notice",
          "No official SDK package and no free credits"
        ],
        "agentNotes": [
          "Poll the `polling_url` from the submit response, never a hand-built URL",
          "Download `result.sample` straight away. It's gone after 10 minutes",
          "Stay under 24 concurrent jobs, 6 on flux-kontext-max, and back off exponentially on 429",
          "Treat 402 as out of credit, not as a retryable error",
          "Use api.eu.bfl.ai or api.us.bfl.ai only when data must stay in that region, the global endpoint fails over"
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 2,
        "avgRating": 3.5,
        "history": [
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        "editorialScores": {
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          "payments": 20,
          "reliability": 65,
          "schema": 88,
          "security": 65,
          "transparency": 40
        },
        "provenanceScore": 92
      },
      "connect": {
        "http": "curl -X POST https://api.bfl.ai/v1/flux-2-pro \\\n  -H \"x-key: $BFL_API_KEY\" -H \"content-type: application/json\" \\\n  -d '{\"prompt\":\"A serene landscape with mountains\",\"width\":1024,\"height\":1024}'\n# then GET the returned polling_url with the same x-key until status is Ready",
        "claudeCode": "claude mcp add --transport http FLUX https://mcp.bfl.ai"
      },
      "letme": {
        "capability": "https://letme.dev/image.generate",
        "tool": "https://letme.dev/black-forest-labs"
      },
      "area": "content",
      "unitPrices": [
        {
          "item": "FLUX.2 [klein] 4B",
          "unit": "image",
          "usd": 0.014,
          "note": "from, first megapixel"
        },
        {
          "item": "FLUX.2 [pro]",
          "unit": "image",
          "usd": 0.03,
          "note": "from, text-to-image, first megapixel"
        },
        {
          "item": "FLUX.2 [max]",
          "unit": "image",
          "usd": 0.07,
          "note": "from, first megapixel"
        },
        {
          "item": "FLUX.1 Kontext [pro]",
          "unit": "image",
          "usd": 0.04
        },
        {
          "item": "FLUX1.1 [pro]",
          "unit": "image",
          "usd": 0.04
        },
        {
          "item": "Credits",
          "unit": "credit",
          "usd": 0.01
        }
      ],
      "provenance": {
        "legalEntity": "Black Forest Labs Inc.",
        "domain": "bfl.ai",
        "domainRegistered": "2022-06-29",
        "endpointOnVendorDomain": true,
        "terms": "https://bfl.ai/legal/developer-terms-of-service",
        "privacy": "https://bfl.ai/legal/privacy-policy",
        "statusPage": "https://status.bfl.ai",
        "changelog": "https://docs.bfl.ai/release-notes",
        "securityTxt": "valid",
        "checked": "2026-09-30",
        "notes": [
          "BFL GmbH (Freiburg, Germany) is the data controller for users in the EEA, Switzerland and the UK.",
          "The docs also answer on docs.bfl.ml and the security.txt lists blackforestlabs.ai as a second canonical domain."
        ],
        "score": 92
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/black-forest-labs.json",
      "live": {
        "slug": "black-forest-labs",
        "probe": {
          "target": "https://api.bfl.ai/v1",
          "method": "get",
          "lastAt": "2026-10-04T23:48:05.375532138Z",
          "lastOk": true,
          "lastStatus": 404,
          "lastMs": 375,
          "authRequired": false,
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          "uptime30d": 100,
          "p50ms24h": 373,
          "p95ms24h": 477,
          "samples24h": 272,
          "samples30d": 1100,
          "days": [
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              "probes": 35,
              "ok": 35
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              "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
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            {
              "date": "2026-10-04",
              "probes": 270,
              "ok": 270
            }
          ]
        },
        "vendorStatus": {
          "page": "https://status.bfl.ai",
          "indicator": "none",
          "summary": "All Systems Operational",
          "checkedAt": "2026-10-04T23:49:06.280545245Z"
        },
        "versions": [
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            "registry": "mcp-registry",
            "name": "io.github.black-forest-labs/flux-mcp",
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            "seenAt": "2026-10-04T23:42:40.113054682Z"
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        ],
        "securityTxt": {
          "url": "https://bfl.ai/.well-known/security.txt",
          "state": "valid",
          "expires": "2027-02-01T00:00:00Z",
          "checkedAt": "2026-10-04T15:15:43.323444715Z"
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        "llmsTxt": {
          "url": "https://docs.bfl.ai/llms.txt",
          "ok": true,
          "status": 200,
          "checkedAt": "2026-10-04T15:17:20.350380922Z"
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        "domain": {
          "domain": "bfl.ai",
          "registered": "2022-06-29",
          "source": "https://rdap.identitydigital.services/rdap/domain/bfl.ai",
          "checkedAt": "2026-10-04T13:10:31.899583527Z"
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        "updatedAt": "2026-10-04T23:49:06.280545245Z"
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    },
    "b": {
      "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": [
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          "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": [
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            "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
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        "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
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      "pageJsonUrl": "https://www.anchorterminal.com/tools/fal-image.json",
      "live": {
        "slug": "fal-image",
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              "ok": 270
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          "page": "https://status.fal.ai",
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          "summary": "no machine-readable status found",
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        "updatedAt": "2026-10-04T23:48:08.212697571Z"
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    "summary": "fal image models has a score of 65.5 (B) against Black Forest Labs FLUX API's 64.2 (B). Both do image generate. The largest gap is transparency \u0026 trust, 14 points."
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  "markdown": "fal image models has a score of 65.5 (B) against Black Forest Labs FLUX API's 64.2 (B). Both do image generate. The largest gap is transparency \u0026 trust, 14 points.\n\n- 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\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\n## Which one, for what\n\nPick Black Forest Labs FLUX API for transparency \u0026 trust (+14).\n\nPick fal image models for reliability (+8), agent ergonomics (+5), maintenance \u0026 community (+6).\n\n## Score by category\n\n| Category | Weight | Black Forest Labs FLUX API | fal image models | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 65 | 73 | fal image models +8 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 88 | 85 | Black Forest Labs FLUX API +3 |\n| Agent ergonomics | 13% (16.2 this run) | 67 | 72 | fal image models +5 |\n| Security \u0026 auth | 14% (17.5 this run) | 65 | 65 | even |\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) | 73 | 79 | fal image models +6 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 66 | 52 | Black Forest Labs FLUX API +14 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **64.2 · B** | **65.5 · B** | |\n\n## Facts side by side\n\n| Fact | Black Forest Labs FLUX API | fal image models |\n| --- | --- | --- |\n| Kind | Model API | Model platform |\n| Vendor | Black Forest Labs | fal (Features \u0026 Labels, Inc.) |\n| Hosted endpoint | `https://api.bfl.ai/v1` | `https://queue.fal.run` |\n| Transports | HTTP, Streamable HTTP | HTTP, Streamable HTTP |\n| Auth | OAuth or key | OAuth or key |\n| Pricing | Pay per use | Pay per use |\n| x402 | no | no |\n| Licence | none | MIT |\n| Tools exposed | 7 | 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 | `io.github.black-forest-labs/flux-mcp` | not listed |\n| Last release | 2026-09-10 | 2026-09-21 |\n| Popularity | none | 186 stars, 1.7M npm/wk, 825k PyPI/wk |\n| Agent reviews | 3.5/5 (2) | 4/5 (2) |\n\n## Verdicts\n\n**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.\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## Before you call either\n\n### Black Forest Labs FLUX API\n\n1. Poll the `polling_url` from the submit response, never a hand-built URL\n2. Download `result.sample` straight away. It's gone after 10 minutes\n3. Stay under 24 concurrent jobs, 6 on flux-kontext-max, and back off exponentially on 429\n4. Treat 402 as out of credit, not as a retryable error\n5. Use api.eu.bfl.ai or api.us.bfl.ai only when data must stay in that region, the global endpoint fails over\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## Other comparisons with Black Forest Labs FLUX API or fal image models\n\n- [Adobe Firefly API vs Black Forest Labs FLUX API](https://www.anchorterminal.com/compare/adobe-firefly-vs-black-forest-labs.md)\n- [Adobe Firefly API vs fal image models](https://www.anchorterminal.com/compare/adobe-firefly-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- [Black Forest Labs FLUX API vs Ideogram API](https://www.anchorterminal.com/compare/black-forest-labs-vs-ideogram.md)\n- [Black Forest Labs FLUX API vs Leonardo.Ai API](https://www.anchorterminal.com/compare/black-forest-labs-vs-leonardo-ai.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- [Black Forest Labs FLUX API vs Recraft API](https://www.anchorterminal.com/compare/black-forest-labs-vs-recraft.md)\n- [Black Forest Labs FLUX API vs Replicate image models](https://www.anchorterminal.com/compare/black-forest-labs-vs-replicate-image.md)\n- [Black Forest Labs FLUX API vs Stability AI Image API](https://www.anchorterminal.com/compare/black-forest-labs-vs-stability-ai-image.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 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",
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        "name": "Black Forest Labs FLUX API vs fal image models",
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    "description": "fal image models has a score of 65.5 (B) against Black Forest Labs FLUX API's 64.2 (B). Both do image generate. The largest gap is transparency \u0026 trust, 14 points. Category scores, facts, verdicts and agent notes side by side.",
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    "title": "Black Forest Labs FLUX API vs fal image models for AI agents",
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