{
  "aboutHtml": "<p>GLM-Image is Zhipu’s text-to-image model exposed with the exact selector glm-image. Use POST /v1/images/generations with model and prompt. Describe the subject, its surroundings, the visual treatment and the composition you want to produce. The supported input for this profile is a written image description, so the prompt needs to communicate the important appearance and arrangement directly.</p><p>For a product composition, describe the object, camera viewpoint, background, lighting and placement of supporting elements. For an illustration, name the main action, colour palette and drawing treatment. A useful brief might request a ceramic cup on a pale tabletop, a side view, soft window light and a clear area above the subject for a separate headline. Describe the intended space and hierarchy rather than relying on a general instruction such as “make an advertisement”.</p><p>The default size is 1280x1280. The documented size values for this exact model are 1280x1280, 1568x1056, 1056x1568, 1472x1088, 1088x1472, 1728x960 and 960x1728. Choose a landscape or portrait size to match the destination before submitting the brief. Keep those exact strings in the size field; they specify pixels rather than a named display resolution.</p><p>GLM-Image supports quality=hd, which is its default quality setting. The watermark_enabled boolean defaults to true and controls the documented watermark setting. If you supply user_id, the documented length is 6–128 characters. These controls describe different parts of the request: size defines the frame, quality selects the supported rendering setting, and watermark_enabled selects the watermark behaviour.</p><p>Generation is synchronous: the completed response contains created and a data array with image URLs. Keep every returned data item and retrieve each image you intend to use. Review the actual composition, subject details and any rendered lettering against the brief, then retain the chosen image with its prompt and settings. A completed image response supplies the result directly; this profile does not introduce a separate generation job to poll.</p>",
  "aboutText": "GLM-Image is Zhipu’s text-to-image model exposed with the exact selector glm-image. Use POST /v1/images/generations with model and prompt. Describe the subject, its surroundings, the visual treatment and the composition you want to produce. The supported input for this profile is a written image description, so the prompt needs to communicate the important appearance and arrangement directly.\n\nFor a product composition, describe the object, camera viewpoint, background, lighting and placement of supporting elements. For an illustration, name the main action, colour palette and drawing treatment. A useful brief might request a ceramic cup on a pale tabletop, a side view, soft window light and a clear area above the subject for a separate headline. Describe the intended space and hierarchy rather than relying on a general instruction such as “make an advertisement”.\n\nThe default size is 1280x1280. The documented size values for this exact model are 1280x1280, 1568x1056, 1056x1568, 1472x1088, 1088x1472, 1728x960 and 960x1728. Choose a landscape or portrait size to match the destination before submitting the brief. Keep those exact strings in the size field; they specify pixels rather than a named display resolution.\n\nGLM-Image supports quality=hd, which is its default quality setting. The watermark_enabled boolean defaults to true and controls the documented watermark setting. If you supply user_id, the documented length is 6–128 characters. These controls describe different parts of the request: size defines the frame, quality selects the supported rendering setting, and watermark_enabled selects the watermark behaviour.\n\nGeneration is synchronous: the completed response contains created and a data array with image URLs. Keep every returned data item and retrieve each image you intend to use. Review the actual composition, subject details and any rendered lettering against the brief, then retain the chosen image with its prompt and settings. A completed image response supplies the result directly; this profile does not introduce a separate generation job to poll.",
  "editorialOverlay": {
    "copy_fields": null,
    "copy_sha256": null,
    "copy_source": null,
    "html_sha256": "e97875929858a125b732e2965ddfcfde3bd4639fdb8e62d75106e377a0cb1b77",
    "module_sha256": "ee9dc1c50b1e6a8fb7fa062030fcb4646b9aaaeb08be513b723a5a92a7290f06",
    "raw_model_unchanged": true,
    "schema": "ailoot-native-model-editorial-v1"
  },
  "locale": "en",
  "methods": [
    {
      "html": "<div class=\"sheet-head\"><span class=\"mav\" aria-hidden=\"true\">•</span><h2 id=\"sheet-title\">glm-image</h2><button class=\"icon-btn\" type=\"button\" data-close-sheet aria-label=\"Close\">×</button></div><div class=\"idline\"><span>ZHIPU /</span><code>glm-image</code><button type=\"button\" id=\"copy-id\">Copy ID</button></div><nav class=\"card-jump-nav\" aria-label=\"Model card sections\"><button type=\"button\" data-card-jump=\"overview\">Overview</button><button type=\"button\" data-card-jump=\"methods\">Inputs &amp; methods</button><button type=\"button\" data-card-jump=\"pricing\">Pricing</button><button type=\"button\" data-card-jump=\"examples\">Examples</button><button type=\"button\" data-card-jump=\"results\">Results</button><button type=\"button\" data-card-jump=\"aliases\">Aliases</button></nav><div class=\"card-method-tabs\" role=\"tablist\" aria-label=\"API methods\"><button type=\"button\" role=\"tab\" tabindex=\"0\" aria-controls=\"card-method-content\" aria-selected=\"true\" id=\"card-method-tab-0\" data-card-method=\"Ultra|images|/v1/images/generations|glm-image\">Images</button></div><div id=\"card-method-content\" role=\"tabpanel\" aria-labelledby=\"card-method-tab-0\"><section class=\"card-section\" data-card-section=\"overview\"><h3 tabindex=\"-1\">Overview</h3><p class=\"mdesc-full\">GLM-Image turns a written visual brief into images. Use the exact glm-image selector for illustrations, scene concepts and product compositions, choosing from its documented square, landscape and portrait sizes. This profile accepts text and returns image results in a synchronous response.</p><dl class=\"card-io\" data-card-io><div><dt>Accepted inputs</dt><dd>Text</dd></div><div><dt>Results</dt><dd>Images</dd></div></dl><details class=\"card-about\"><summary>About the model</summary><p class=\"note-s\" data-model-method-boundary>This description covers the model’s capabilities. Available in Ailoot inputs, outputs and options are listed for the selected method below.</p><div class=\"mabout\" id=\"m-about\"><p>GLM-Image is Zhipu’s text-to-image model exposed with the exact selector glm-image. Use POST /v1/images/generations with model and prompt. Describe the subject, its surroundings, the visual treatment and the composition you want to produce. The supported input for this profile is a written image description, so the prompt needs to communicate the important appearance and arrangement directly.</p><p>For a product composition, describe the object, camera viewpoint, background, lighting and placement of supporting elements. For an illustration, name the main action, colour palette and drawing treatment. A useful brief might request a ceramic cup on a pale tabletop, a side view, soft window light and a clear area above the subject for a separate headline. Describe the intended space and hierarchy rather than relying on a general instruction such as “make an advertisement”.</p><p>The default size is 1280x1280. The documented size values for this exact model are 1280x1280, 1568x1056, 1056x1568, 1472x1088, 1088x1472, 1728x960 and 960x1728. Choose a landscape or portrait size to match the destination before submitting the brief. Keep those exact strings in the size field; they specify pixels rather than a named display resolution.</p><p>GLM-Image supports quality=hd, which is its default quality setting. The watermark_enabled boolean defaults to true and controls the documented watermark setting. If you supply user_id, the documented length is 6–128 characters. These controls describe different parts of the request: size defines the frame, quality selects the supported rendering setting, and watermark_enabled selects the watermark behaviour.</p><p>Generation is synchronous: the completed response contains created and a data array with image URLs. Keep every returned data item and retrieve each image you intend to use. Review the actual composition, subject details and any rendered lettering against the brief, then retain the chosen image with its prompt and settings. A completed image response supplies the result directly; this profile does not introduce a separate generation job to poll.</p></div></details></section><section class=\"card-section\" data-card-section=\"methods\"><h3 tabindex=\"-1\">Available in Ailoot · inputs &amp; methods</h3><details class=\"card-method\" open><summary><b>Ailoot Ultra · Images</b> <code>POST /v1/images/generations</code></summary><dl class=\"method-capabilities\"><div><dt>Input types</dt><dd><code>text</code></dd></div><div><dt>Output types</dt><dd><code>image</code></dd></div><div><dt>Output format</dt><dd>Image file</dd></div></dl><div class=\"tw\" data-card-parameters data-typed-parameters><table><thead><tr><th>Field</th><th>Type</th><th>Requirement</th><th>Values &amp; limits</th><th>Default</th></tr></thead><tbody><tr><th data-cell-label=\"Field\" scope=\"row\"><span class=\"card-cell-label\">Field</span><code class=\"card-field-name\">model</code></th><td data-cell-label=\"Type\" data-field-type><span class=\"card-cell-label\">Type</span><code>string</code></td><td data-cell-label=\"Requirement\"><span class=\"card-cell-label\">Requirement</span>Required</td><td data-cell-label=\"Values &amp; limits\"><span class=\"card-cell-label\">Values &amp; limits</span><div>glm-image</div></td><td data-cell-label=\"Default\" data-default=\"unspecified\"><span class=\"card-cell-label\">Default</span>—</td></tr><tr><th data-cell-label=\"Field\" scope=\"row\"><span class=\"card-cell-label\">Field</span><code class=\"card-field-name\">prompt</code></th><td data-cell-label=\"Type\" data-field-type><span class=\"card-cell-label\">Type</span><code>string</code></td><td data-cell-label=\"Requirement\"><span class=\"card-cell-label\">Requirement</span>Required</td><td data-cell-label=\"Values &amp; limits\"><span class=\"card-cell-label\">Values &amp; limits</span></td><td data-cell-label=\"Default\" data-default=\"unspecified\"><span class=\"card-cell-label\">Default</span>—</td></tr><tr><th data-cell-label=\"Field\" scope=\"row\"><span class=\"card-cell-label\">Field</span><code class=\"card-field-name\">size</code></th><td data-cell-label=\"Type\" data-field-type><span class=\"card-cell-label\">Type</span><code>string</code></td><td data-cell-label=\"Requirement\"><span class=\"card-cell-label\">Requirement</span>Optional</td><td data-cell-label=\"Values &amp; limits\"><span class=\"card-cell-label\">Values &amp; limits</span><div>1280x1280, 1568x1056, 1056x1568, 1472x1088, 1088x1472, 1728x960, 960x1728</div></td><td data-cell-label=\"Default\" data-default=\"known\"><span class=\"card-cell-label\">Default</span>1280x1280</td></tr><tr><th data-cell-label=\"Field\" scope=\"row\"><span class=\"card-cell-label\">Field</span><code class=\"card-field-name\">user_id</code></th><td data-cell-label=\"Type\" data-field-type><span class=\"card-cell-label\">Type</span><code>string</code></td><td data-cell-label=\"Requirement\"><span class=\"card-cell-label\">Requirement</span>Optional</td><td data-cell-label=\"Values &amp; limits\"><span class=\"card-cell-label\">Values &amp; limits</span></td><td data-cell-label=\"Default\" data-default=\"unspecified\"><span class=\"card-cell-label\">Default</span>—</td></tr><tr><th data-cell-label=\"Field\" scope=\"row\"><span class=\"card-cell-label\">Field</span><code class=\"card-field-name\">quality</code></th><td data-cell-label=\"Type\" data-field-type><span class=\"card-cell-label\">Type</span><code>string</code></td><td data-cell-label=\"Requirement\"><span class=\"card-cell-label\">Requirement</span>Optional</td><td data-cell-label=\"Values &amp; limits\"><span class=\"card-cell-label\">Values &amp; limits</span><div>hd, standard</div></td><td data-cell-label=\"Default\" data-default=\"unspecified\"><span class=\"card-cell-label\">Default</span>—</td></tr><tr><th data-cell-label=\"Field\" scope=\"row\"><span class=\"card-cell-label\">Field</span><code class=\"card-field-name\">watermark_enabled</code></th><td data-cell-label=\"Type\" data-field-type><span class=\"card-cell-label\">Type</span><code>boolean</code></td><td data-cell-label=\"Requirement\"><span class=\"card-cell-label\">Requirement</span>Optional</td><td data-cell-label=\"Values &amp; limits\"><span class=\"card-cell-label\">Values &amp; limits</span></td><td data-cell-label=\"Default\" data-default=\"known\"><span class=\"card-cell-label\">Default</span>true</td></tr><tr><th data-cell-label=\"Field\" scope=\"row\"><span class=\"card-cell-label\">Field</span><code class=\"card-field-name\">stream</code></th><td data-cell-label=\"Type\" data-field-type><span class=\"card-cell-label\">Type</span><code>boolean</code></td><td data-cell-label=\"Requirement\"><span class=\"card-cell-label\">Requirement</span>Optional</td><td data-cell-label=\"Values &amp; limits\"><span class=\"card-cell-label\">Values &amp; limits</span><div>false</div></td><td data-cell-label=\"Default\" data-default=\"unspecified\"><span class=\"card-cell-label\">Default</span>—</td></tr></tbody></table></div><details class=\"note-s\" data-method-contract><summary>Method parameters and lifecycle</summary><div class=\"tw\" data-card-table=\"contract\"><table><thead><tr><th>Parameter</th><th>Contract</th></tr></thead><tbody><tr><th data-cell-label=\"Parameter\" scope=\"row\"><span class=\"card-cell-label\">Parameter</span><code>content_type</code></th><td data-cell-label=\"Contract\"><span class=\"card-cell-label\">Contract</span>application/json</td></tr><tr><th data-cell-label=\"Parameter\" scope=\"row\"><span class=\"card-cell-label\">Parameter</span><code>required</code></th><td data-cell-label=\"Contract\"><span class=\"card-cell-label\">Contract</span>model, prompt</td></tr><tr><th data-cell-label=\"Parameter\" scope=\"row\"><span class=\"card-cell-label\">Parameter</span><code>optional</code></th><td data-cell-label=\"Contract\"><span class=\"card-cell-label\">Contract</span>size, user_id, quality, watermark_enabled, stream</td></tr><tr><th data-cell-label=\"Parameter\" scope=\"row\"><span class=\"card-cell-label\">Parameter</span><code>material_types</code></th><td data-cell-label=\"Contract\"><span class=\"card-cell-label\">Contract</span>text</td></tr><tr><th data-cell-label=\"Parameter\" scope=\"row\"><span class=\"card-cell-label\">Parameter</span><code>conditions</code></th><td data-cell-label=\"Contract\"><span class=\"card-cell-label\">Contract</span>Use stream:false or omit stream. The complete buffered JSON result contains all generated images.</td></tr></tbody></table></div><p>Lifecycle: <code>synchronous_result_then_owned_library</code></p><p class=\"note-s\"><code>GET /v1/media/assets</code></p><p class=\"note-s\"><code>GET /v1/media/assets/{asset_id}</code></p></details></details></section><section class=\"card-section\" data-card-section=\"pricing\"><h3 tabindex=\"-1\">Pricing</h3><div class=\"card-result-process\" data-billing-basis><h5>How the final charge is calculated</h5><p class=\"note-s\">The displayed rates estimate the cost before generation. The final charge is calculated from the cost recorded for the original generation. Measured output duration and forecast quantities are not the final billable quantity.</p></div><div data-native-semantic-method=\"v1\" data-tariff-reference-only><p class=\"note-s\" data-rate-support-note>Tariff references do not add request options. Supported parameters are listed for the selected method.</p><dl data-price-conditions><dt>Fast mode</dt><dd>Not specified <span class=\"note-s\">When fast mode is selected</span></dd><dt>Flex mode</dt><dd>Not specified <span class=\"note-s\">When flex mode is selected</span></dd><dt>Maximum reasoning effort</dt><dd>Not specified <span class=\"note-s\">When maximum reasoning effort uses the default adjustment</span></dd></dl></div><div data-declared-tariff-pricing><h4>Estimated rates for comparison</h4><h4>Prices by configuration</h4><p class=\"note-s\">Match each charge to the conditions shown. Use one rate for each set of alternative configurations.</p><div class=\"tw\" data-pricing-profiles><table><thead><tr><th>Configuration</th><th>Rate schedule</th><th>Forecast quantity</th><th>Charge</th></tr></thead><tbody><tr><th data-cell-label=\"Configuration\" scope=\"row\"><span class=\"card-cell-label\">Configuration</span>Base token rates</th><td data-cell-label=\"Rate schedule\"><span class=\"card-cell-label\">Rate schedule</span>Base rate</td><td data-cell-label=\"Forecast quantity\"><span class=\"card-cell-label\">Forecast quantity</span>—</td><td data-cell-label=\"Charge\"><span class=\"card-cell-label\">Charge</span><div><span>Input · Input tokens · Estimate for comparison only</span> <b>—</b> <span class=\"price-unit\">/ 1K tokens</span></div><div><span>Output · Output tokens · Estimate for comparison only</span> <b>—</b> <span class=\"price-unit\">/ 1K tokens</span></div><div><span>Input · Cache read · Estimate for comparison only</span> <b>—</b> <span class=\"price-unit\">/ 1K tokens</span></div><div><span>Input · Cache write · Estimate for comparison only</span> <b>—</b> <span class=\"price-unit\">/ 1K tokens</span></div><div><span>Input · Cache write, 1 hour · Estimate for comparison only</span> <b>—</b> <span class=\"price-unit\">/ 1K tokens</span></div></td></tr><tr><th data-cell-label=\"Configuration\" scope=\"row\"><span class=\"card-cell-label\">Configuration</span>Estimated generation cost</th><td data-cell-label=\"Rate schedule\"><span class=\"card-cell-label\">Rate schedule</span>—</td><td data-cell-label=\"Forecast quantity\"><span class=\"card-cell-label\">Forecast quantity</span>one generation estimate</td><td data-cell-label=\"Charge\"><span class=\"card-cell-label\">Charge</span><div><span>Input · Estimated generation cost · Estimate for comparison only</span> <b>$0.09</b> <span class=\"price-unit\">estimate before generation</span></div><p class=\"note-s\">This estimate is not an additional charge or a fixed rate for the completed generation.</p></td></tr></tbody></table></div></div><p class=\"note-s\">Ailoot reserves an estimated amount before a request. After the result, it settles the final charge from measured usage. Streaming settlement uses the final usage record. <a href=\"/docs/en/billing/reserve/\">How reservation and settlement work →</a></p></section><section class=\"card-section\" data-card-section=\"examples\"><h3 tabindex=\"-1\">Example requests</h3><h4>Ailoot Ultra · Images</h4><div class=\"code-group\"><div class=\"cg-bar\"><div class=\"cg-tabs\" role=\"tablist\" aria-label=\"Code options\"><button class=\"cg-tab\" id=\"model-code-11-tab-0\" role=\"tab\" type=\"button\" aria-controls=\"model-code-11-panel-0\" aria-selected=\"true\" tabindex=\"0\">curl · create once and retain the complete result</button></div><div class=\"cg-tools\"><button class=\"cg-btn cg-copy\" type=\"button\" aria-label=\"Copy code\"><svg class=\"cp\" viewBox=\"0 0 16 16\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\"><rect x=\"5.25\" y=\"5.25\" width=\"8.5\" height=\"8.5\" rx=\"1.75\"/><path d=\"M10.75 5.25V3.5a1.25 1.25 0 0 0-1.25-1.25H3.5A1.25 1.25 0 0 0 2.25 3.5v6a1.25 1.25 0 0 0 1.25 1.25h1.75\"/></svg><svg class=\"ok\" viewBox=\"0 0 16 16\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.4\"><path d=\"m3 8.5 3.25 3.25L13 5\"/></svg></button></div></div><div class=\"cg-body\"><div class=\"cg-pane\" id=\"model-code-11-panel-0\" role=\"tabpanel\" aria-labelledby=\"model-code-11-tab-0\"><pre data-lang=\"bash\"><code>set -eu\n: &quot;${AILOOT_API_KEY:?Set your Ailoot API key}&quot;\nexport AILOOT_API_KEY\npython3 - &lt;&lt;&#39;PY_REQUEST&#39;\nimport json,os\nfrom pathlib import Path\np=json.loads(&#39;{&quot;model&quot;: &quot;glm-image&quot;, &quot;prompt&quot;: &quot;A calm studio product photograph with a plain background.&quot;}&#39;)\n\nPath(&quot;request.json&quot;).write_text(json.dumps(p,ensure_ascii=False))\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/images/generations \\\n  -H &quot;Authorization: Bearer $AILOOT_API_KEY&quot; -H &#39;Content-Type: application/json&#39; \\\n  --data-binary @request.json -D response-headers.txt -o result.json\n# Submit once. Retain the complete result, original identifiers and every response header.\n</code></pre></div></div></div></section><section class=\"card-section\" data-card-section=\"results\"><h3 tabindex=\"-1\">Receive and save results</h3><h4>Ailoot Ultra · Images</h4><p class=\"note-s\">Download each returned image or save its Base64 contents</p><ul class=\"card-result-paths\"><li><code>GET /v1/media/assets</code></li><li><code>GET /v1/media/assets/{asset_id}</code></li></ul><div class=\"card-result-process\" data-all-results><h5>Keep all completed results</h5><p class=\"note-s\">Save every completed image; retrieve each returned URL or decode its Base64 contents.</p><p class=\"note-s\">Retain every returned image and field. Use owned content_url values and actual asset_id records; refresh the same asset when a link expires.</p></div><div class=\"card-result-process\" data-unknown-recovery><h5>If the original response needs checking</h5><p class=\"note-s\">Preserve the original response, headers and X-Client-Request-ID. An uncertain outcome does not authorize another creation.</p></div></section><section class=\"card-section\" data-card-section=\"aliases\"><h3 tabindex=\"-1\">Aliases</h3><h4>Model aliases</h4><p class=\"note-s\"><span data-model-alias-route=\"Ultra\"><b>Ailoot Ultra</b> <a href=\"#m=glm-image&amp;route=Ultra&amp;caller=glm-image&amp;fmt=images\"><code>glm-image</code></a></span></p><h4>Method path aliases</h4><p class=\"note-s\">Use the method paths shown above.</p><h4>Related caller IDs</h4><p class=\"note-s\"><a href=\"#m=glm-image&amp;route=Ultra&amp;caller=glm-image&amp;fmt=images\"><code>glm-image</code></a></p></section></div>",
      "method_identity": {
        "effective_request_model_id": "glm-image",
        "fmt": "images",
        "http": "POST",
        "path": "/v1/images/generations",
        "request_model_id": "glm-image",
        "route_label": "Ultra"
      },
      "method_key": "Ultra|images|/v1/images/generations|glm-image",
      "ordinal": 0,
      "rawMethod": {
        "available": null,
        "billing_basis": {
          "basis": "original_invoice_usd",
          "description": "The displayed rates estimate the cost before generation. The final charge is calculated from the cost recorded for the original generation. Measured output duration and forecast quantities are not the final billable quantity.",
          "forecast_quantity_is_estimate": true,
          "physical_output_is_billable_quantity": false,
          "version": "original_invoice_usd_v1"
        },
        "cache_read": null,
        "cache_write": null,
        "cache_write_1h": null,
        "contract": {
          "data": {
            "all_results": "Retain the complete response, all actual results, original identifiers, usage and response headers.",
            "authentication": {
              "api_key_source": "AILOOT_API_KEY",
              "header": "Authorization: Bearer"
            },
            "example_body": {
              "model": "glm-image",
              "prompt": "A calm studio product photograph with a plain background."
            },
            "lifecycle": {
              "assets": [
                {
                  "http": "GET",
                  "path": "/v1/media/assets",
                  "query": {
                    "cursor": "actual returned next_cursor, when present",
                    "family": "image"
                  }
                },
                {
                  "http": "GET",
                  "path": "/v1/media/assets/{asset_id}"
                }
              ],
              "cancel_endpoint": null,
              "create": {
                "http": "POST",
                "path": "/v1/images/generations"
              },
              "mode": "synchronous_result_then_owned_library",
              "operation_id_is_not_task_id": true,
              "owned_content": {
                "http": "GET",
                "path": "/v1/media/assets/{asset_id}/content",
                "url_source": "Use the exact returned content_url. Refresh an expired link by reading the same existing asset."
              },
              "status": [],
              "unknown": "Preserve the original response, headers and X-Client-Request-ID. An uncertain outcome does not authorize another creation.",
              "unknown_no_replay": true
            },
            "outputs": {
              "all_results": "Retain every returned image and field. Use owned content_url values and actual asset_id records; refresh the same asset when a link expires.",
              "family": "image",
              "format": "JSON with all URL or base64 outputs"
            },
            "parameters": [
              {
                "default_known": false,
                "enum": [
                  "glm-image"
                ],
                "enum_known": true,
                "name": "model",
                "required": true,
                "type": "string"
              },
              {
                "default_known": false,
                "enum_known": false,
                "name": "prompt",
                "required": true,
                "type": "string"
              },
              {
                "default": "1280x1280",
                "default_known": true,
                "enum": [
                  "1280x1280",
                  "1568x1056",
                  "1056x1568",
                  "1472x1088",
                  "1088x1472",
                  "1728x960",
                  "960x1728"
                ],
                "enum_known": true,
                "name": "size",
                "required": false,
                "type": "string"
              },
              {
                "default_known": false,
                "enum_known": false,
                "name": "user_id",
                "required": false,
                "type": "string"
              },
              {
                "default_known": false,
                "enum": [
                  "hd",
                  "standard"
                ],
                "enum_known": true,
                "name": "quality",
                "required": false,
                "type": "string"
              },
              {
                "default": true,
                "default_known": true,
                "enum_known": false,
                "name": "watermark_enabled",
                "required": false,
                "type": "boolean"
              },
              {
                "default_known": false,
                "enum": [
                  false
                ],
                "enum_known": true,
                "name": "stream",
                "required": false,
                "type": "boolean"
              }
            ],
            "request_schema": {
              "additionalProperties": true,
              "properties": {
                "model": {
                  "enum": [
                    "glm-image"
                  ],
                  "type": "string"
                },
                "prompt": {
                  "type": "string"
                },
                "quality": {
                  "enum": [
                    "hd",
                    "standard"
                  ],
                  "type": "string"
                },
                "size": {
                  "default": "1280x1280",
                  "enum": [
                    "1280x1280",
                    "1568x1056",
                    "1056x1568",
                    "1472x1088",
                    "1088x1472",
                    "1728x960",
                    "960x1728"
                  ],
                  "type": "string"
                },
                "stream": {
                  "enum": [
                    false
                  ],
                  "type": "boolean"
                },
                "user_id": {
                  "type": "string"
                },
                "watermark_enabled": {
                  "default": true,
                  "type": "boolean"
                }
              },
              "required": [
                "model",
                "prompt"
              ],
              "type": "object"
            },
            "schema_template": {
              "body": {
                "model": "glm-image",
                "prompt": "A calm studio product photograph with a plain background."
              },
              "content_type": "application/json"
            }
          },
          "input": {
            "conditions": [
              "Use stream:false or omit stream. The complete buffered JSON result contains all generated images."
            ],
            "content_type": "application/json",
            "material_types": [
              "text"
            ],
            "optional": [
              "size",
              "user_id",
              "quality",
              "watermark_enabled",
              "stream"
            ],
            "required": [
              "model",
              "prompt"
            ]
          },
          "lifecycle": {
            "assets": [
              {
                "http": "GET",
                "path": "/v1/media/assets",
                "query": {
                  "cursor": "actual returned next_cursor, when present",
                  "family": "image"
                }
              },
              {
                "http": "GET",
                "path": "/v1/media/assets/{asset_id}"
              }
            ],
            "cancel_endpoint": null,
            "create": {
              "http": "POST",
              "path": "/v1/images/generations"
            },
            "mode": "synchronous_result_then_owned_library",
            "operation_id_is_not_task_id": true,
            "owned_content": {
              "http": "GET",
              "path": "/v1/media/assets/{asset_id}/content",
              "url_source": "Use the exact returned content_url. Refresh an expired link by reading the same existing asset."
            },
            "status": [],
            "unknown": "Preserve the original response, headers and X-Client-Request-ID. An uncertain outcome does not authorize another creation.",
            "unknown_no_replay": true
          },
          "method": {
            "http": "POST",
            "path": "/v1/images/generations"
          },
          "method_aliases": [],
          "output": {
            "all_results": "Retain every returned image and field. Use owned content_url values and actual asset_id records; refresh the same asset when a link expires.",
            "family": "image",
            "format": "JSON with all URL or base64 outputs"
          }
        },
        "ctx": null,
        "declared_pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "cache_write_1h_price",
                "label": "Cache write, 1 hour",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "one_hour_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          },
          {
            "basis": "This estimate is not an additional charge or a fixed rate for the completed generation.",
            "dimensions": {
              "forecast_quantity": "one generation estimate"
            },
            "label": "Estimated generation cost",
            "units": [
              {
                "amount": "0.09",
                "amount_unit": "usd_per_exact_native_unit",
                "billing_input": false,
                "estimate_only": true,
                "key": "forecast_usd",
                "label": "Estimated generation cost",
                "native_amount_usd_per_unit": "0.09",
                "native_quantity": 1,
                "public_unit_label": "estimate before generation",
                "quantity": 1,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "request_estimate"
              }
            ]
          }
        ],
        "examples": [
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\nexport AILOOT_API_KEY\npython3 - <<'PY_REQUEST'\nimport json,os\nfrom pathlib import Path\np=json.loads('{\"model\": \"glm-image\", \"prompt\": \"A calm studio product photograph with a plain background.\"}')\n\nPath(\"request.json\").write_text(json.dumps(p,ensure_ascii=False))\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/images/generations \\\n  -H \"Authorization: Bearer $AILOOT_API_KEY\" -H 'Content-Type: application/json' \\\n  --data-binary @request.json -D response-headers.txt -o result.json\n# Submit once. Retain the complete result, original identifiers and every response header.\n",
            "label": "curl · create once and retain the complete result",
            "language": "bash"
          }
        ],
        "family": "openai",
        "fast_multiplier": null,
        "flex_multiplier": null,
        "fmt": "images",
        "http": "POST",
        "img_in": null,
        "img_out": null,
        "in": null,
        "input": [
          "text"
        ],
        "label": "Images",
        "max_out": null,
        "max_reasoning_effort_multiplier": null,
        "method_aliases": [],
        "out": null,
        "output": [
          "image"
        ],
        "path": "/v1/images/generations",
        "price_conditions": [
          {
            "label": "Fast mode",
            "value": "Not specified",
            "when": "When fast mode is selected"
          },
          {
            "label": "Flex mode",
            "value": "Not specified",
            "when": "When flex mode is selected"
          },
          {
            "label": "Maximum reasoning effort",
            "value": "Not specified",
            "when": "When maximum reasoning effort uses the default adjustment"
          }
        ],
        "pricing": {
          "billing_mode": "original_invoice_usd",
          "cache_read_price": null,
          "cache_write_1h_price": null,
          "cache_write_price": null,
          "fast_multiplier": null,
          "flex_multiplier": null,
          "image_input_price": null,
          "image_output_price": null,
          "input_price": null,
          "intervals": null,
          "max_reasoning_effort_multiplier": null,
          "output_price": null,
          "per_request_price": null
        },
        "pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "cache_write_1h_price",
                "label": "Cache write, 1 hour",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "one_hour_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          },
          {
            "basis": "This estimate is not an additional charge or a fixed rate for the completed generation.",
            "dimensions": {
              "forecast_quantity": "one generation estimate"
            },
            "label": "Estimated generation cost",
            "units": [
              {
                "amount": "0.09",
                "amount_unit": "usd_per_exact_native_unit",
                "billing_input": false,
                "estimate_only": true,
                "key": "forecast_usd",
                "label": "Estimated generation cost",
                "native_amount_usd_per_unit": "0.09",
                "native_quantity": 1,
                "public_unit_label": "estimate before generation",
                "quantity": 1,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "request_estimate"
              }
            ]
          }
        ],
        "request_model_id": "glm-image",
        "route_label": "Ultra",
        "status_reads": [],
        "tiers": [],
        "unit": "image",
        "units": [
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": false,
            "estimate_only": true,
            "key": "input_price",
            "label": "Input tokens",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "input_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": true,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "input_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": false,
            "estimate_only": true,
            "key": "output_price",
            "label": "Output tokens",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "output_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": true,
            "rate_role": "typed_native_retail_rate",
            "side": "out",
            "unit": "output_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": false,
            "estimate_only": true,
            "key": "cache_read_price",
            "label": "Cache read",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "cached_input_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": true,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "cached_input_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": false,
            "estimate_only": true,
            "key": "cache_write_price",
            "label": "Cache write",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "generic_cache_creation_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": true,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "generic_cache_creation_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": false,
            "estimate_only": true,
            "key": "cache_write_1h_price",
            "label": "Cache write, 1 hour",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "one_hour_cache_creation_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": true,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "one_hour_cache_creation_token"
          },
          {
            "amount": "0.09",
            "amount_unit": "usd_per_exact_native_unit",
            "billing_input": false,
            "estimate_only": true,
            "key": "forecast_usd",
            "label": "Estimated generation cost",
            "native_amount_usd_per_unit": "0.09",
            "native_quantity": 1,
            "public_unit_label": "estimate before generation",
            "quantity": 1,
            "quantity_is_estimate": true,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "request_estimate"
          }
        ]
      }
    }
  ],
  "model_id": "glm-image",
  "nativeProvenance": {
    "input_facts_canonical_sha256": "8e4c5bb74fe1a0aa298c9937e79e31c6fbb40cb29eea97ba61fc553f8a18d494",
    "input_html_sha256": "c5f7fb1a71e81f1ba25f7a4c850e4302629b893bc8cbf2e6de302605a9eafccc",
    "private_audit_sha256": "80b5d5c0b315bbfd8fabc6690bee2b77df74062e9081f4f364f8510f0e3eacac",
    "role": "historical-normalized-input-audit-hashes",
    "schema": "ailoot-native-model-provenance-v2"
  },
  "page": {
    "canonical": "https://ailoot.ai/models/en/glm-image/",
    "description": "GLM-Image turns a written visual brief into images. Use the exact glm-image selector for illustrations, scene concepts and product compositions, choosing from its documented square, landscape and portrait sizes. This profile accepts text and returns image results in a synchronous response.",
    "locale": "en",
    "md_url": "https://ailoot.ai/models/en/glm-image/index.md",
    "title": "glm-image — Ailoot",
    "url": "https://ailoot.ai/models/en/glm-image/"
  },
  "rawModel": {
    "about": "GLM-Image is Zhipu’s text-to-image model exposed with the exact selector glm-image. Use POST /v1/images/generations with model and prompt. Describe the subject, its surroundings, the visual treatment and the composition you want to produce. The supported input for this profile is a written image description, so the prompt needs to communicate the important appearance and arrangement directly.\n\nFor a product composition, describe the object, camera viewpoint, background, lighting and placement of supporting elements. For an illustration, name the main action, colour palette and drawing treatment. A useful brief might request a ceramic cup on a pale tabletop, a side view, soft window light and a clear area above the subject for a separate headline. Describe the intended space and hierarchy rather than relying on a general instruction such as “make an advertisement”.\n\nThe default size is 1280x1280. The documented size values for this exact model are 1280x1280, 1568x1056, 1056x1568, 1472x1088, 1088x1472, 1728x960 and 960x1728. Choose a landscape or portrait size to match the destination before submitting the brief. Keep those exact strings in the size field; they specify pixels rather than a named display resolution.\n\nGLM-Image supports quality=hd, which is its default quality setting. The watermark_enabled boolean defaults to true and controls the documented watermark setting. If you supply user_id, the documented length is 6–128 characters. These controls describe different parts of the request: size defines the frame, quality selects the supported rendering setting, and watermark_enabled selects the watermark behaviour.\n\nGeneration is synchronous: the completed response contains created and a data array with image URLs. Keep every returned data item and retrieve each image you intend to use. Review the actual composition, subject details and any rendered lettering against the brief, then retain the chosen image with its prompt and settings. A completed image response supplies the result directly; this profile does not introduce a separate generation job to poll.",
    "alias_of": null,
    "aliases": [],
    "author": "ZHIPU",
    "ctx": null,
    "formats": [
      "images"
    ],
    "id": "glm-image",
    "input": [
      "text"
    ],
    "kind": "image",
    "max_out": null,
    "methods": [
      {
        "available": null,
        "billing_basis": {
          "basis": "original_invoice_usd",
          "description": "The displayed rates estimate the cost before generation. The final charge is calculated from the cost recorded for the original generation. Measured output duration and forecast quantities are not the final billable quantity.",
          "forecast_quantity_is_estimate": true,
          "physical_output_is_billable_quantity": false,
          "version": "original_invoice_usd_v1"
        },
        "cache_read": null,
        "cache_write": null,
        "cache_write_1h": null,
        "contract": {
          "data": {
            "all_results": "Retain the complete response, all actual results, original identifiers, usage and response headers.",
            "authentication": {
              "api_key_source": "AILOOT_API_KEY",
              "header": "Authorization: Bearer"
            },
            "example_body": {
              "model": "glm-image",
              "prompt": "A calm studio product photograph with a plain background."
            },
            "lifecycle": {
              "assets": [
                {
                  "http": "GET",
                  "path": "/v1/media/assets",
                  "query": {
                    "cursor": "actual returned next_cursor, when present",
                    "family": "image"
                  }
                },
                {
                  "http": "GET",
                  "path": "/v1/media/assets/{asset_id}"
                }
              ],
              "cancel_endpoint": null,
              "create": {
                "http": "POST",
                "path": "/v1/images/generations"
              },
              "mode": "synchronous_result_then_owned_library",
              "operation_id_is_not_task_id": true,
              "owned_content": {
                "http": "GET",
                "path": "/v1/media/assets/{asset_id}/content",
                "url_source": "Use the exact returned content_url. Refresh an expired link by reading the same existing asset."
              },
              "status": [],
              "unknown": "Preserve the original response, headers and X-Client-Request-ID. An uncertain outcome does not authorize another creation.",
              "unknown_no_replay": true
            },
            "outputs": {
              "all_results": "Retain every returned image and field. Use owned content_url values and actual asset_id records; refresh the same asset when a link expires.",
              "family": "image",
              "format": "JSON with all URL or base64 outputs"
            },
            "parameters": [
              {
                "default_known": false,
                "enum": [
                  "glm-image"
                ],
                "enum_known": true,
                "name": "model",
                "required": true,
                "type": "string"
              },
              {
                "default_known": false,
                "enum_known": false,
                "name": "prompt",
                "required": true,
                "type": "string"
              },
              {
                "default": "1280x1280",
                "default_known": true,
                "enum": [
                  "1280x1280",
                  "1568x1056",
                  "1056x1568",
                  "1472x1088",
                  "1088x1472",
                  "1728x960",
                  "960x1728"
                ],
                "enum_known": true,
                "name": "size",
                "required": false,
                "type": "string"
              },
              {
                "default_known": false,
                "enum_known": false,
                "name": "user_id",
                "required": false,
                "type": "string"
              },
              {
                "default_known": false,
                "enum": [
                  "hd",
                  "standard"
                ],
                "enum_known": true,
                "name": "quality",
                "required": false,
                "type": "string"
              },
              {
                "default": true,
                "default_known": true,
                "enum_known": false,
                "name": "watermark_enabled",
                "required": false,
                "type": "boolean"
              },
              {
                "default_known": false,
                "enum": [
                  false
                ],
                "enum_known": true,
                "name": "stream",
                "required": false,
                "type": "boolean"
              }
            ],
            "request_schema": {
              "additionalProperties": true,
              "properties": {
                "model": {
                  "enum": [
                    "glm-image"
                  ],
                  "type": "string"
                },
                "prompt": {
                  "type": "string"
                },
                "quality": {
                  "enum": [
                    "hd",
                    "standard"
                  ],
                  "type": "string"
                },
                "size": {
                  "default": "1280x1280",
                  "enum": [
                    "1280x1280",
                    "1568x1056",
                    "1056x1568",
                    "1472x1088",
                    "1088x1472",
                    "1728x960",
                    "960x1728"
                  ],
                  "type": "string"
                },
                "stream": {
                  "enum": [
                    false
                  ],
                  "type": "boolean"
                },
                "user_id": {
                  "type": "string"
                },
                "watermark_enabled": {
                  "default": true,
                  "type": "boolean"
                }
              },
              "required": [
                "model",
                "prompt"
              ],
              "type": "object"
            },
            "schema_template": {
              "body": {
                "model": "glm-image",
                "prompt": "A calm studio product photograph with a plain background."
              },
              "content_type": "application/json"
            }
          },
          "input": {
            "conditions": [
              "Use stream:false or omit stream. The complete buffered JSON result contains all generated images."
            ],
            "content_type": "application/json",
            "material_types": [
              "text"
            ],
            "optional": [
              "size",
              "user_id",
              "quality",
              "watermark_enabled",
              "stream"
            ],
            "required": [
              "model",
              "prompt"
            ]
          },
          "lifecycle": {
            "assets": [
              {
                "http": "GET",
                "path": "/v1/media/assets",
                "query": {
                  "cursor": "actual returned next_cursor, when present",
                  "family": "image"
                }
              },
              {
                "http": "GET",
                "path": "/v1/media/assets/{asset_id}"
              }
            ],
            "cancel_endpoint": null,
            "create": {
              "http": "POST",
              "path": "/v1/images/generations"
            },
            "mode": "synchronous_result_then_owned_library",
            "operation_id_is_not_task_id": true,
            "owned_content": {
              "http": "GET",
              "path": "/v1/media/assets/{asset_id}/content",
              "url_source": "Use the exact returned content_url. Refresh an expired link by reading the same existing asset."
            },
            "status": [],
            "unknown": "Preserve the original response, headers and X-Client-Request-ID. An uncertain outcome does not authorize another creation.",
            "unknown_no_replay": true
          },
          "method": {
            "http": "POST",
            "path": "/v1/images/generations"
          },
          "method_aliases": [],
          "output": {
            "all_results": "Retain every returned image and field. Use owned content_url values and actual asset_id records; refresh the same asset when a link expires.",
            "family": "image",
            "format": "JSON with all URL or base64 outputs"
          }
        },
        "ctx": null,
        "declared_pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "cache_write_1h_price",
                "label": "Cache write, 1 hour",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "one_hour_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          },
          {
            "basis": "This estimate is not an additional charge or a fixed rate for the completed generation.",
            "dimensions": {
              "forecast_quantity": "one generation estimate"
            },
            "label": "Estimated generation cost",
            "units": [
              {
                "amount": "0.09",
                "amount_unit": "usd_per_exact_native_unit",
                "billing_input": false,
                "estimate_only": true,
                "key": "forecast_usd",
                "label": "Estimated generation cost",
                "native_amount_usd_per_unit": "0.09",
                "native_quantity": 1,
                "public_unit_label": "estimate before generation",
                "quantity": 1,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "request_estimate"
              }
            ]
          }
        ],
        "examples": [
          {
            "code": "set -eu\n: \"${AILOOT_API_KEY:?Set your Ailoot API key}\"\nexport AILOOT_API_KEY\npython3 - <<'PY_REQUEST'\nimport json,os\nfrom pathlib import Path\np=json.loads('{\"model\": \"glm-image\", \"prompt\": \"A calm studio product photograph with a plain background.\"}')\n\nPath(\"request.json\").write_text(json.dumps(p,ensure_ascii=False))\nPY_REQUEST\ncurl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/images/generations \\\n  -H \"Authorization: Bearer $AILOOT_API_KEY\" -H 'Content-Type: application/json' \\\n  --data-binary @request.json -D response-headers.txt -o result.json\n# Submit once. Retain the complete result, original identifiers and every response header.\n",
            "label": "curl · create once and retain the complete result",
            "language": "bash"
          }
        ],
        "family": "openai",
        "fast_multiplier": null,
        "flex_multiplier": null,
        "fmt": "images",
        "http": "POST",
        "img_in": null,
        "img_out": null,
        "in": null,
        "input": [
          "text"
        ],
        "label": "Images",
        "max_out": null,
        "max_reasoning_effort_multiplier": null,
        "method_aliases": [],
        "out": null,
        "output": [
          "image"
        ],
        "path": "/v1/images/generations",
        "price_conditions": [
          {
            "label": "Fast mode",
            "value": "Not specified",
            "when": "When fast mode is selected"
          },
          {
            "label": "Flex mode",
            "value": "Not specified",
            "when": "When flex mode is selected"
          },
          {
            "label": "Maximum reasoning effort",
            "value": "Not specified",
            "when": "When maximum reasoning effort uses the default adjustment"
          }
        ],
        "pricing": {
          "billing_mode": "original_invoice_usd",
          "cache_read_price": null,
          "cache_write_1h_price": null,
          "cache_write_price": null,
          "fast_multiplier": null,
          "flex_multiplier": null,
          "image_input_price": null,
          "image_output_price": null,
          "input_price": null,
          "intervals": null,
          "max_reasoning_effort_multiplier": null,
          "output_price": null,
          "per_request_price": null
        },
        "pricing_profiles": [
          {
            "dimensions": {
              "regime": "base"
            },
            "label": "Base token rates",
            "units": [
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "input_price",
                "label": "Input tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "output_price",
                "label": "Output tokens",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "output_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "out",
                "unit": "output_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "cache_read_price",
                "label": "Cache read",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "cached_input_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "cached_input_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "cache_write_price",
                "label": "Cache write",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "generic_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "generic_cache_creation_token"
              },
              {
                "amount": null,
                "amount_unit": "usd_per_thousand_tokens",
                "billing_input": false,
                "estimate_only": true,
                "key": "cache_write_1h_price",
                "label": "Cache write, 1 hour",
                "native_amount_usd_per_unit": null,
                "native_quantity": 1,
                "native_unit": "one_hour_cache_creation_token",
                "public_unit_label": "/ 1K tokens",
                "quantity": 1000,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "one_hour_cache_creation_token"
              }
            ]
          },
          {
            "basis": "This estimate is not an additional charge or a fixed rate for the completed generation.",
            "dimensions": {
              "forecast_quantity": "one generation estimate"
            },
            "label": "Estimated generation cost",
            "units": [
              {
                "amount": "0.09",
                "amount_unit": "usd_per_exact_native_unit",
                "billing_input": false,
                "estimate_only": true,
                "key": "forecast_usd",
                "label": "Estimated generation cost",
                "native_amount_usd_per_unit": "0.09",
                "native_quantity": 1,
                "public_unit_label": "estimate before generation",
                "quantity": 1,
                "quantity_is_estimate": true,
                "rate_role": "typed_native_retail_rate",
                "side": "in",
                "unit": "request_estimate"
              }
            ]
          }
        ],
        "request_model_id": "glm-image",
        "route_label": "Ultra",
        "status_reads": [],
        "tiers": [],
        "unit": "image",
        "units": [
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": false,
            "estimate_only": true,
            "key": "input_price",
            "label": "Input tokens",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "input_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": true,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "input_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": false,
            "estimate_only": true,
            "key": "output_price",
            "label": "Output tokens",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "output_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": true,
            "rate_role": "typed_native_retail_rate",
            "side": "out",
            "unit": "output_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": false,
            "estimate_only": true,
            "key": "cache_read_price",
            "label": "Cache read",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "cached_input_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": true,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "cached_input_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": false,
            "estimate_only": true,
            "key": "cache_write_price",
            "label": "Cache write",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "generic_cache_creation_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": true,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "generic_cache_creation_token"
          },
          {
            "amount": null,
            "amount_unit": "usd_per_thousand_tokens",
            "billing_input": false,
            "estimate_only": true,
            "key": "cache_write_1h_price",
            "label": "Cache write, 1 hour",
            "native_amount_usd_per_unit": null,
            "native_quantity": 1,
            "native_unit": "one_hour_cache_creation_token",
            "public_unit_label": "/ 1K tokens",
            "quantity": 1000,
            "quantity_is_estimate": true,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "one_hour_cache_creation_token"
          },
          {
            "amount": "0.09",
            "amount_unit": "usd_per_exact_native_unit",
            "billing_input": false,
            "estimate_only": true,
            "key": "forecast_usd",
            "label": "Estimated generation cost",
            "native_amount_usd_per_unit": "0.09",
            "native_quantity": 1,
            "public_unit_label": "estimate before generation",
            "quantity": 1,
            "quantity_is_estimate": true,
            "rate_role": "typed_native_retail_rate",
            "side": "in",
            "unit": "request_estimate"
          }
        ]
      }
    ],
    "model_aliases": [
      {
        "canonical_model_id": "glm-image",
        "request_model_id": "glm-image",
        "route_label": "Ultra"
      }
    ],
    "name": "glm-image",
    "price": {
      "in": null,
      "in_label": null,
      "out": null,
      "out_label": null,
      "sort_in": null,
      "sort_out": null,
      "varies": true
    },
    "short": "GLM-Image turns a written visual brief into images. Use the exact glm-image selector for illustrations, scene concepts and product compositions, choosing from its documented square, landscape and portrait sizes. This profile accepts text and returns image results in a synchronous response."
  },
  "renderer_schema": {
    "method_order": "Original DTO methods order; every exact route/format/path/caller survives.",
    "prices": "Original public DTO fields and original native display HTML; no flattened or normalized offers."
  },
  "representation": "exact-public-dto-and-native-renderer-html",
  "representationNotes": {
    "current_reference": {
      "about_json_pointer": "/aboutHtml",
      "methods": [
        {
          "contract_json_pointer": "/methods/0/rawMethod/contract",
          "html_json_pointer": "/methods/0/html",
          "method_ordinal": 0
        }
      ],
      "role": "current-semantic-reference"
    },
    "raw_input": {
      "examples_role": "historical-input-not-current-ready-examples",
      "json_pointers": [
        "/rawModel",
        "/methods/0/rawMethod"
      ],
      "role": "historical-owner-input"
    },
    "schema": "ailoot-native-model-representations-v1"
  },
  "schema": "ailoot-static-model-facts-v1",
  "schema_version": 1,
  "shortText": "GLM-Image turns a written visual brief into images. Use the exact glm-image selector for illustrations, scene concepts and product compositions, choosing from its documented square, landscape and portrait sizes. This profile accepts text and returns image results in a synchronous response.",
  "source": {
    "audit_sha256": "2e00086bcbfc28e64d0cebe97aa47c17d8d5618963027f8ffb9dc6123d7d25b1",
    "bridge_map_sha256": "1125275768b9636fc8461bc7da5061239a81ddfe508e2557843ca42c58ab0036",
    "raw_model_json_sha256": "637148c34f49a940a150cb97ac0e3c5d2fc9287f57e8d8bf7f1bf1959a75ffa8",
    "renderer_sha256": "fed50305bd3bcc4980ac14df23640efb8c1bc1e819f9d53643d6f43e8974d3fe"
  },
  "sourceRevision": "237a5c3bb9c2b1b97a798943a06ec57eb5dd33099a849775a625e860f793568c"
}