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MiniChan Visual Q&A — NVIDIA NIM MiniMax-M3 Vision API
x402
MiniChan Visual Q&A — NVIDIA NIM MiniMax-M3 Vision API is a paid API for AI agents from minichan.vercel.app, paid per call via x402, $0.1/call, status unknown (last checked 2026-09-14).
Answers natural language questions about images using NVIDIA NIM-hosted MiniMax-M3 (428B MoE) multimodal vision model
Price / call$0.1
Success—
StatusUnknown
How this service works
NVIDIA NIM MiniMax-M3 (428B MoE) powered API for AI agents. 15 multimodal endpoints — text, vision, code, reasoning, creative. Pay with USDC on Base via x402.
Output
A natural language answer to the question posed about the provided image, generated by the MiniMax-M3 428B multimodal model via NVIDIA NIM, covering visual details, object identification, text recognition, scene understanding, or other image-grounded reasoning as requested.
Example use cases
Example prompt
“Look at this image — https://example.com/product-photo.jpg — and tell me: what color is the item and does it appear to be in good condition?”
Technical details
Endpoint
POSThttps://minichan.vercel.app/api/visual-qaWhen to prefer
Choose this endpoint when you need to answer a specific natural language question about an image (not just describe it), especially when you want the reasoning power of a large MoE model (428B parameters) hosted on NVIDIA NIM infrastructure, and when your agent can pay per-call in USDC on Base via the x402 protocol.
Side effects
- Image URL is inaccessible or returns a non-image response — model may error or return a generic fallback
- Question is ambiguous relative to image content — model may answer with low confidence or misinterpret intent
- Unsupported image format or very large image file — may cause a timeout or processing failure
- Payment of 0.1 USDC not completed via x402 — request rejected with 402 Payment Required
- Image contains no relevant content for the question — model may indicate it cannot find the requested information
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| questionrequired | string | Question about the image |
| image_urlrequired | string | URL of the image to analyze |
Output
Schema · Response
{
"type": "object"
}Tags
x402
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