Returns a single array containing every model and utility exposed for standalone execution — image, video, audio, LLM, and utility. Each entry surfaces the nodeType and any subModels for multi-mode models. Router, selector, and concatenator graph primitives are intentionally excluded because they cannot run standalone.
Need the response grouped by category with role labels (GENERATE / EDIT /
TRANSFORM)? Use GET /v1/models/search
instead. This endpoint is intentionally flat — best when you just want to
enumerate every model ID.
Authorizations
string
required
Bearer API key. Format: Bearer gx_your_api_key.
Response
array
Array of model entries — one per registered node type.
Show Each entry
string
Stable standalone identifier used as {nodeType} in POST /v1/nodes/{nodeType}/run, node-shaped estimate payloads, and single-mode model schema lookups (e.g. nano_banana_pro, gpt_image_2, kling_v3_pro).
const res = await fetch("https://inference.magica.com/v1/models", { headers: { Authorization: `Bearer ${process.env.MAGICA_API_KEY}` },});const models = await res.json();// Every standalone nodeType you can use in /v1/nodes/{nodeType}/runconst nodeTypes = models.map((m) => m.nodeType);// Every modelId you can pass to /v1/models/{modelId}/schemaconst modelIds = models.flatMap((m) => m.subModels ? m.subModels.map((sm) => sm.subModelId) : [m.nodeType],);
import os, requestsres = requests.get( "https://inference.magica.com/v1/models", headers={"Authorization": f"Bearer {os.environ['MAGICA_API_KEY']}"},)models = res.json()for m in models: if m.get("subModels"): for sm in m["subModels"]: print(f"{m['nodeType']:30} {sm['subModelId']:30} {sm['label']}") else: print(f"{m['nodeType']:30} -")
Response example
Truncated to two entries (the live response includes ~80 models):
[ { "nodeType": "nano_banana_pro", "name": "Nano Banana Pro", "description": "Google's Gemini 3 Pro Image model with web search grounding.", "category": "text-to-image", "icon": "https://image.galaxy.ai/image-logos/google.png", "subModels": [ { "subModelId": "nano-banana-pro-text", "label": "Text to Image", "category": "text-to-image" }, { "subModelId": "nano-banana-pro-edit", "label": "Image to Image", "category": "image-to-image" } ] }, { "nodeType": "kling_v3_pro", "name": "Kling v3 Pro", "description": "Text-to-video and image-to-video.", "category": "video", "icon": "video" }]
For single-mode models (no subModels), the schema endpoint accepts the nodeType directly.
Errors
Status
Reason
401
Missing or invalid API key
429
API key rate limit exceeded
500
Server error
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