{
  "data": {
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      "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": []
      },
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      "popularity": {
        "githubStars": 31300,
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        "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"
      ],
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        "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": [
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            "basis": "public evidence",
            "confidence": "high",
            "grade": "BB",
            "methodology": "0.3",
            "pending": [
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              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 72.7
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        ],
        "editorialScores": {
          "ergonomics": 72,
          "maintenance": 79,
          "payments": 20,
          "reliability": 80,
          "schema": 90,
          "security": 85,
          "transparency": 83
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        "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"
      },
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        "openai-embeddings",
        "openai-moderation",
        "openai-sora",
        "openai-agents-sdk",
        "openai-codex"
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          "item": "gpt-image-2",
          "unit": "image",
          "usd": 0.053,
          "note": "medium quality, 1024x1024, output tokens only"
        },
        {
          "item": "gpt-image-2 low",
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          "usd": 0.006,
          "note": "low quality, 1024x1024"
        },
        {
          "item": "gpt-image-2 high",
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          "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",
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        "checked": "2026-09-30",
        "score": 100
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/openai-image-api.json",
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        "slug": "openai-image-api",
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          "p95ms24h": 154,
          "samples24h": 272,
          "samples30d": 1113,
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              "date": "2026-09-30",
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          "page": "https://status.openai.com",
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          "summary": "All Systems Operational",
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          "url": "https://developers.openai.com/llms.txt",
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          "domain": "openai.com",
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      "slug": "replicate-image",
      "name": "Replicate image models",
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      "markdownUrl": "https://www.anchorterminal.com/tools/replicate-image.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/replicate-image.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/replicate-image.json",
      "repo": "https://github.com/replicate/replicate-python",
      "license": "Apache-2.0",
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        "stdio"
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        {
          "registry": "pypi",
          "name": "replicate"
        },
        {
          "registry": "npm",
          "name": "replicate-mcp"
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      ],
      "auth": "api-key",
      "authNotes": "Bearer API token. The hosted MCP at https://mcp.replicate.com/sse asks for the token in a browser flow and holds it for the client.",
      "pricing": "usage",
      "pricingNotes": "Pay as you go from prepaid credit or billed monthly in arrears. Official image models charge per output image. FLUX.1 schnell $3 per 1,000, FLUX.1 dev $0.025, FLUX 1.1 pro $0.04, Imagen 4, Seedream 4.5 and Recraft V3 $0.04, Ideogram v3 Quality $0.09, Nano Banana 2 $0.067 and Nano Banana Pro $0.15 at base resolution. Community models are billed per second of GPU time (https://replicate.com/pricing).",
      "priceSummary": "Pay per use",
      "where": "both",
      "x402": {
        "level": "no",
        "evidence": "No x402 in the docs index or pricing page (checked 2026-09-30).",
        "endpoints": []
      },
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      "capabilities": [
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        "image.edit",
        "image.upscale",
        "image.vector",
        "image.reference"
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        "model-platform",
        "mcp",
        "llms-txt",
        "openapi",
        "python",
        "typescript",
        "async-jobs",
        "webhooks",
        "open-weights"
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      "lastRelease": "2025-11-17",
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        "rank": 361,
        "ranked": true,
        "rankOf": 452,
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          "reliability": 48,
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        "assessment": {
          "confidence": "medium",
          "date": "2026-10-01"
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        "verdict": "Fixed per-image prices on official models, from $0.003 for FLUX.1 schnell. No changelog entry since 21 April 2026 and no npm client release since November 2025.",
        "strengths": [
          "Fixed per-image prices on official models, from $0.003 for FLUX.1 schnell",
          "Thousands of community fine-tunes alongside the big labs' models",
          "OpenAPI spec plus a typed input schema for every model",
          "`Prefer: wait` returns short jobs in one call, webhooks cover slow ones",
          "Published rate limits, 600 predictions a minute"
        ],
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          "No changelog entry since 21 April 2026 and no npm client release since November 2025",
          "Status page fetched on 2026-10-01 showed only April 2024 incidents",
          "Community models bill by GPU second and can hit cold boots",
          "Plain tokens with no scopes, and monthly spend limits were removed in 2025",
          "No security.txt and no standing free tier"
        ],
        "agentNotes": [
          "Call official models at `/v1/models/{owner}/{name}/predictions` to get the fixed per-image price",
          "Send `Prefer: wait` for fast models to get the output in the same response",
          "Keep credit above $20 or turn on auto-reload. Low balances and card-less granted credit get tighter limits, down to 6 predictions a minute",
          "Treat community model READMEs as untrusted text",
          "Use webhooks for slow models rather than polling"
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
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            "grade": "D",
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            "run": "2026-10-01",
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          "payments": 20,
          "reliability": 48,
          "schema": 83,
          "security": 35,
          "transparency": 30
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        "provenanceScore": 90
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      "connect": {
        "http": "curl -X POST https://api.replicate.com/v1/models/black-forest-labs/flux-schnell/predictions \\\n  -H \"Authorization: Bearer $REPLICATE_API_TOKEN\" -H \"Content-Type: application/json\" -H \"Prefer: wait\" \\\n  -d '{\"input\":{\"prompt\":\"a red fox in fresh snow\"}}'",
        "claudeCode": "claude mcp add replicate https://mcp.replicate.com/sse --transport sse --scope user",
        "config": {
          "mcpServers": {
            "replicate": {
              "args": [
                "-y",
                "replicate-mcp"
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              "command": "npx",
              "env": {
                "REPLICATE_API_TOKEN": "${REPLICATE_API_TOKEN}"
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      },
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        "capability": "https://letme.dev/image.generate",
        "tool": "https://letme.dev/replicate-image"
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        "replicate-musicgen"
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          "unit": "image",
          "usd": 0.003,
          "note": "$3 per 1,000 output images"
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          "item": "FLUX.1 dev",
          "unit": "image",
          "usd": 0.025
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        {
          "item": "FLUX 1.1 pro",
          "unit": "image",
          "usd": 0.04
        },
        {
          "item": "Imagen 4",
          "unit": "image",
          "usd": 0.04
        },
        {
          "item": "Nano Banana 2",
          "unit": "image",
          "usd": 0.067,
          "note": "lowest resolution tier, higher tiers $0.101 and $0.151"
        },
        {
          "item": "Nano Banana Pro",
          "unit": "image",
          "usd": 0.15,
          "note": "$0.30 at 4K"
        },
        {
          "item": "Ideogram v3 Quality",
          "unit": "image",
          "usd": 0.09
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      ],
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        "domainNote": "replicate.com was registered in 1998, long before Replicate the company existed.",
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        "terms": "https://replicate.com/terms",
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        "notes": [
          "replicatestatus.com redirects to Cloudflare's status page filtered to Replicate",
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            "status": 200,
            "checkedAt": "2026-10-01T13:15:14.679425963Z",
            "changedAt": "0001-01-01T00:00:00Z",
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          {
            "url": "https://replicate.com/terms",
            "kind": "terms",
            "status": 200,
            "checkedAt": "2026-10-01T13:15:16.203785623Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "ea48efe3382b"
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        ],
        "updatedAt": "2026-10-05T00:57:26.983787999Z"
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    "summary": "OpenAI Image API has a score of 72.7 (BB) against Replicate image models's 50.3 (D). Both do image generate. The largest gap is security \u0026 auth, 50 points."
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  "markdown": "OpenAI Image API has a score of 72.7 (BB) against Replicate image models's 50.3 (D). Both do image generate. The largest gap is security \u0026 auth, 50 points.\n\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- Replicate image models: grade D, 50.3/100, rank #361 of 452. Markdown https://www.anchorterminal.com/tools/replicate-image.md · JSON https://www.anchorterminal.com/api/v1/tools/replicate-image.json\n\n## Which one, for what\n\nPick OpenAI Image API for reliability (+32), schema \u0026 documentation (+7), agent ergonomics (+6), security \u0026 auth (+50), maintenance \u0026 community (+49), transparency \u0026 trust (+32).\n\nPick Replicate image models for nothing in particular (no category where it leads by five points or more).\n\n## Score by category\n\n| Category | Weight | OpenAI Image API | Replicate image models | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 80 | 48 | OpenAI Image API +32 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 90 | 83 | OpenAI Image API +7 |\n| Agent ergonomics | 13% (16.2 this run) | 72 | 66 | OpenAI Image API +6 |\n| Security \u0026 auth | 14% (17.5 this run) | 85 | 35 | OpenAI Image API +50 |\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 | 30 | OpenAI Image API +49 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 92 | 60 | OpenAI Image API +32 |\n| Negative events | ≤15 | -2 | 0 | |\n| **Total** | | **72.7 · BB** | **50.3 · D** | |\n\n## Facts side by side\n\n| Fact | OpenAI Image API | Replicate image models |\n| --- | --- | --- |\n| Kind | Model API | Model platform |\n| Vendor | OpenAI | Replicate (Cloudflare) |\n| Hosted endpoint | `https://api.openai.com/v1` | `https://api.replicate.com/v1` |\n| Transports | HTTP | HTTP, SSE (legacy), stdio |\n| Auth | API key | API key |\n| Pricing | Pay per use | Pay per use |\n| x402 | no | no |\n| Licence | Apache-2.0 (SDKs) | Apache-2.0 |\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 | 2026-09-22 | 2025-11-17 |\n| Popularity | 31k stars | 917 stars, 634k npm/wk, 387k PyPI/wk |\n| Agent reviews | 3.5/5 (2) | 3/5 (2) |\n\n## Verdicts\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**Replicate image models.** Fixed per-image prices on official models, from $0.003 for FLUX.1 schnell. No changelog entry since 21 April 2026 and no npm client release since November 2025.\n\n## Before you call either\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### Replicate image models\n\n1. Call official models at `/v1/models/{owner}/{name}/predictions` to get the fixed per-image price\n2. Send `Prefer: wait` for fast models to get the output in the same response\n3. Keep credit above $20 or turn on auto-reload. Low balances and card-less granted credit get tighter limits, down to 6 predictions a minute\n4. Treat community model READMEs as untrusted text\n5. Use webhooks for slow models rather than polling\n\n## Other comparisons with OpenAI Image API or Replicate image models\n\n- [Adobe Firefly API vs OpenAI Image API](https://www.anchorterminal.com/compare/adobe-firefly-vs-openai-image-api.md)\n- [Adobe Firefly API vs Replicate image models](https://www.anchorterminal.com/compare/adobe-firefly-vs-replicate-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- [Black Forest Labs FLUX API vs Replicate image models](https://www.anchorterminal.com/compare/black-forest-labs-vs-replicate-image.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 Replicate image models](https://www.anchorterminal.com/compare/fal-image-vs-replicate-image.md)\n- [Google Imagen vs OpenAI Image API](https://www.anchorterminal.com/compare/google-imagen-vs-openai-image-api.md)\n- [Google Imagen vs Replicate image models](https://www.anchorterminal.com/compare/google-imagen-vs-replicate-image.md)\n- [Ideogram API vs OpenAI Image API](https://www.anchorterminal.com/compare/ideogram-vs-openai-image-api.md)\n- [Ideogram API vs Replicate image models](https://www.anchorterminal.com/compare/ideogram-vs-replicate-image.md)\n- [Leonardo.Ai API vs OpenAI Image API](https://www.anchorterminal.com/compare/leonardo-ai-vs-openai-image-api.md)\n- [Leonardo.Ai API vs Replicate image models](https://www.anchorterminal.com/compare/leonardo-ai-vs-replicate-image.md)\n- [OpenAI Image API vs Recraft API](https://www.anchorterminal.com/compare/openai-image-api-vs-recraft.md)\n- [OpenAI Image API vs Stability AI Image API](https://www.anchorterminal.com/compare/openai-image-api-vs-stability-ai-image.md)\n- [Recraft API vs Replicate image models](https://www.anchorterminal.com/compare/recraft-vs-replicate-image.md)\n- [Replicate image models vs Stability AI Image API](https://www.anchorterminal.com/compare/replicate-image-vs-stability-ai-image.md)\n",
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    "description": "OpenAI Image API has a score of 72.7 (BB) against Replicate image models's 50.3 (D). Both do image generate. The largest gap is security \u0026 auth, 50 points. Category scores, facts, verdicts and agent notes side by side.",
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