MiniMax H3 Image
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MiniMax H3-Image standard image model for up to 4K (~16 MP) text-to-image generation and editing with 1–16 reference images.
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- Input modalities
- TextImage
- Output modalities
- Image
- Capabilities
- Image generation · Image editing
- Upstream release
- 2026-11-10
- RouteMux name
- minimax/minimax-h3-image
- Official ID
- MiniMax-H3-Image
What is MiniMax H3 Image
MiniMax H3 Image (official ID MiniMax-H3-Image, RouteMux slug minimax/minimax-h3-image) is MiniMax's image generation and editing model. It supports text-to-image generation and editing with 1 to 16 reference images, 1K, 2K, and 4K resolution tiers (up to roughly 16 megapixels) or custom pixel dimensions, 1 to 10 output images per request, and token-based billing. Its sibling model minimax/minimax-h3-image-highspeed shares identical endpoints, parameters, and limits: the standard model is the family default with lower per-token rates for everyday and batch workloads, while Highspeed generates images faster with lower latency.
On RouteMux, the model speaks the OpenAI Images protocol: send text-to-image requests to POST https://api.routemux.com/v1/images/generations and image editing requests to POST https://api.routemux.com/v1/images/edits. The prompt accepts up to 32,000 Unicode codepoints, and each request can generate n=1 to 10 images. Image editing accepts 1 to 16 reference images via the JSON images array (each item containing an image_url string) or multipart form uploads under image or image[]. Mask inpainting (mask) and streaming (stream must be omitted or false) are not supported.
You can control dimensions in two ways: pair area ("1K", "2K", or "4K", default "4K") with aspect_ratio ("auto" or X:Y where X and Y are integers from 1 to 300 and X/Y is between 1/3 and 3, such as 1:1, 16:9, 9:16, 21:9, 3:1, or 1:3), or pass an explicit pixel size (WxH with total area between 655,360 and 20,000,000 pixels and aspect ratio between 1/3 and 3; when size is WxH, both aspect_ratio and area must be omitted; size also accepts "auto"). Prompt expansion is enabled by default for text-to-image; if you set disable_prompt_enhanced to true on text-to-image, you must explicitly specify either a WxH size or an X:Y aspect_ratio (image editing always uses prompt expansion and rejects disable_prompt_enhanced=true). Supported output_format values are "png", "jpeg", "jpg", and "webp", and response_format accepts "url" or "b64_json". output_compression takes an integer from 0 to 100 (default 95) and applies to jpeg and webp only. Reference image_url values must be public https URLs or data URLs; mm_file:// references are not supported.
Because image generation is non-idempotent (non_idempotent), upstream continues generating and billing tokens even if the client disconnects or times out, so re-sending a request causes duplicate generations and double billing. The RouteMux gateway retries this model only when upstream returns HTTP 429, and never retries on 5xx responses, timeouts, or network errors. On the client side, set max_retries=0 in the Python OpenAI SDK (or maxRetries: 0 in TypeScript) and omit --retry in curl.
MiniMax H3 Image API pricing
Prices verified 2026-11-11
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Key capabilities
- 1K/2K/4K & flexible aspect ratios
- Choose area tiers 1K, 2K, or 4K (up to ~16 megapixels) or pass exact WxH pixel dimensions from 655,360 to 20,000,000 pixels across 1:3 to 3:1 ratios.
- 1–16 reference image editing
- Pass 1 to 16 reference images to
/v1/images/editsfor image editing, with n=1 to 10 outputs per generation or edit call. - Non-idempotent retry protection
- Gateway retries only on upstream 429 — never on 5xx, timeouts, or network errors. Set
max_retries=0 (ormaxRetries: 0) in your SDK. - 50% below official pricing
- Billed per text input, image input, and image output token at 50% off MiniMax official rates.
Common use cases
- High-resolution & multi-aspect asset generation
- Use area 1K/2K/4K (~16 megapixels) or custom WxH pixel sizes across 1:3 to 3:1 aspect ratios with prompts up to 32,000 characters to generate visual assets.
- Multi-reference subject-consistent editing
- Supply 1 to 16 reference images in
/v1/images/editstogether with n=1 to 10 outputs to edit and iterate consistently from a shared set of visual references.
Limited time10% extra Credits on your first top-up — up to 200 bonus Credits
Applies to your first top-up within 72 hours of signing up. Minimum $20, once per account.
Interface and protocols
Use any of these IDs to call this model via the API.
minimax/minimax-h3-imageMiniMax-H3-ImageReplace the ROUTEMUX_KEY placeholder with your API key. Create one →
from openai import OpenAI
client = OpenAI(
base_url="https://api.routemux.com/v1",
api_key="<ROUTEMUX_KEY>",
max_retries=0,
)
response = client.images.generate(
model="minimax/minimax-h3-image",
prompt="A red panda coding under the moonlight",
n=1,
)
print(response.data[0].url)Performance (last 30 days)
MiniMax H3 Image FAQ
›What is MiniMax H3 Image?
MiniMax H3-Image standard image model for up to 4K (~16 MP) text-to-image generation and editing with 1–16 reference images.
›How much does the MiniMax H3 Image API cost?
Through RouteMux, MiniMax H3 Image is priced at $1.9, below the official list price.
›How do I call MiniMax H3 Image via API?
MiniMax H3 Image is OpenAI-compatible: point your base URL at RouteMux and set the model field to minimax/minimax-h3-image — no code changes needed.
›Which input and output modalities does MiniMax H3 Image support?
MiniMax H3 Image accepts text, image as input and produces image as output.
›When was MiniMax H3 Image released?
MiniMax H3 Image was released on November 10, 2026.
Sources
Reviewed by the RouteMux team on 2026-11-11