# MAI-Image 2.5 Flash Text-to-Image — Atlas Cloud API

> Microsoft's fast, cost-optimized text-to-image generation model, creating high-quality images at lower cost using the same diffusion-based architecture as MAI-Image-2.5.

This is the machine-readable API reference for **MAI-Image 2.5 Flash Text-to-Image** on Atlas Cloud,
a unified API platform for 400+ AI models across text, image, video, audio and 3D.

- **Model ID**: `microsoft/mai-image-2.5-flash/text-to-image`
- **Built by**: MICROSOFT
- **Modality**: Image
- **Model page**: https://www.atlascloud.ai/models/microsoft/mai-image-2.5-flash/text-to-image
- **API key**: https://www.atlascloud.ai/console/api-keys
- **Docs**: https://www.atlascloud.ai/docs

## Pricing on Atlas Cloud

- $0.03 per image
- Pay-as-you-go. No minimum spend, no subscription required.

> **These are the authoritative Atlas Cloud rates for this model.** Any price that
> appears in the vendor description further down refers to a different platform or
> a different model variant and does not apply here.

## Use this model from an AI agent

Atlas Cloud ships three first-party integration surfaces. All three authenticate
with the same API key via the `ATLASCLOUD_API_KEY` environment variable.

### MCP server

The official MCP server (`atlascloud-mcp`) exposes this model to any
MCP-compatible host — Claude Code, OpenAI Codex, Cursor, Gemini CLI, Goose,
Claude Desktop. One-line install:

```bash
# Claude Code
claude mcp add atlascloud -- npx -y atlascloud-mcp

# OpenAI Codex CLI
codex mcp add atlascloud -- npx -y atlascloud-mcp

# Gemini CLI
gemini mcp add atlascloud -- npx -y atlascloud-mcp

export ATLASCLOUD_API_KEY="your-api-key"
```

Then ask in plain English; the agent calls `atlas_generate_image` with `model: "microsoft/mai-image-2.5-flash/text-to-image"`.
The server fetches each model's schema and validates parameters before submitting,
so invalid requests fail fast without spending credits.

MCP docs: https://www.atlascloud.ai/docs/mcp-server

### Agent Skills

`atlas-cloud-skills` is a portable skill package (API reference, code templates in
Python / Node.js / cURL, model IDs with pricing) for Claude Code, Cursor, Codex and
12+ other agents:

```bash
npx skills add AtlasCloudAI/atlas-cloud-skills
export ATLASCLOUD_API_KEY="your-api-key"
```

Skills docs: https://www.atlascloud.ai/docs/skills

### CLI

The `atlas` binary runs Atlas Cloud from a terminal or CI script. Async media jobs
are polled and downloaded automatically (use `--no-download` when a script only
needs the output URLs):

```bash
# Install (Homebrew, npm, or shell installer)
brew install AtlasCloudAI/tap/atlascloud
# npm install -g atlascloud-cli
# curl -fsSL https://raw.githubusercontent.com/AtlasCloudAI/cli/main/install.sh | sh

atlas auth login
atlas generate image microsoft/mai-image-2.5-flash/text-to-image -p "Your prompt here"
```

CLI docs: https://www.atlascloud.ai/docs/cli

## HTTP API reference

- **Submit endpoint (POST)**: `https://api.atlascloud.ai/api/v1/model/generateImage` — start an async generation; returns a `prediction_id`
- **Poll endpoint (GET)**: `https://api.atlascloud.ai/api/v1/model/prediction/{prediction_id}` — poll this until the prediction finishes
- **Model ID**: `microsoft/mai-image-2.5-flash/text-to-image`


## API Information

This model can be used via our HTTP API or more conveniently via our client libraries.
See the input and output schema below, as well as the usage examples.


### Input Schema

The API accepts the following input parameters:

- **`model`** (`string`, _required_):
  model name
  - Default: `"microsoft/mai-image-2.5-flash/text-to-image"`

- **`prompt`** (`string`, _required_):
  Text prompt describing the image to generate. Maximum context length: 32,000 tokens.

- **`size`** (`string`, _optional_):
  Image dimensions in width*height format (e.g., 1024*1024, 1280*720). Minimum 768. The product of width × height must not exceed 1,049,088.
  - Default: `"1024*1024"`
  - Min: 768
  - Max: 1360

- **`enable_base64_output`** (`boolean`, _optional_):
  If enabled, the output will be encoded into a BASE64 string instead of a URL. This property is only available through the API.
  - Default: `false`

- **`enable_sync_mode`** (`boolean`, _optional_):
  If set to true, the function will wait for the result to be generated and uploaded before returning the response. It allows you to get the result directly in the response. This property is only available through the API.
  - Default: `false`



**Required Parameters Example**:

```json
{
  "model": "microsoft/mai-image-2.5-flash/text-to-image",
  "prompt": ""
}
```


**Full Example**:

```json
{
  "model": "microsoft/mai-image-2.5-flash/text-to-image",
  "prompt": "",
  "size": "1024*1024",
  "enable_base64_output": false,
  "enable_sync_mode": false
}
```


### Output Schema

The API returns the following output format:


- **`code`** (`integer`, _optional_):
  HTTP status code of the response.

- **`message`** (`string`, _optional_):
  Human-readable message; non-empty on failure.

- **`data`** (`object`, _optional_):
  - Properties:
    - **`id`** (`string`, _optional_):
      Unique identifier for the prediction.

    - **`model`** (`string`, _optional_):
      Model ID used for the prediction.

    - **`outputs`** (`array[string]`, _optional_):
      Array of URLs to the generated content. Null when status is not completed.

    - **`urls`** (`object`, _optional_):
      Object containing related API endpoints.
      - Properties:
        - **`get`** (`string`, _optional_):
          URL to poll for the prediction result.


    - **`status`** (`string`, _optional_):
      Status of the task: created, processing, completed, timeout, or failed.

    - **`created_at`** (`string`, _optional_):
      ISO timestamp of when the request was created (e.g., "2023-04-01T12:34:56.789Z").

    - **`error`** (`string`, _optional_):
      Error message if the task failed, empty string otherwise.

    - **`error_code`** (`integer`, _optional_):
      Error code if the task failed.

    - **`executionTime`** (`number`, _optional_):
      Total execution time in milliseconds.

    - **`timings`** (`object`, _optional_):
      Detailed timing breakdown.
      - Properties:
        - **`inference`** (`number`, _optional_):
          Inference time in milliseconds.





**Example Response**:

```json
{
  "code": 0,
  "message": "",
  "data": {
    "id": "",
    "model": "",
    "outputs": [
      ""
    ],
    "urls": {
      "get": ""
    },
    "status": "",
    "created_at": "",
    "error": "",
    "error_code": 0,
    "executionTime": 0,
    "timings": {
      "inference": 0
    }
  }
}
```


## Usage Examples

### cURL

```bash
# Step 1: Start generation (async)
curl -X POST "https://api.atlascloud.ai/api/v1/model/generateImage" \
  -H "Authorization: Bearer $ATLASCLOUD_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "model": "microsoft/mai-image-2.5-flash/text-to-image",
  "prompt": "",
  "size": "1024*1024",
  "enable_base64_output": false,
  "enable_sync_mode": false
}'

# Response will contain: {"code": 200, "data": {"id": "prediction_id", "status": "processing"}}

# Step 2: Poll for result (replace {prediction_id} with the id returned above)
curl -X GET "https://api.atlascloud.ai/api/v1/model/prediction/{prediction_id}" \
  -H "Authorization: Bearer $ATLASCLOUD_API_KEY"

# Keep polling until status is "completed", "succeeded" or "failed"
# When completed, outputs will contain the generated content URL(s)
```

## Additional Resources

### Documentation

- [Model Playground](https://www.atlascloud.ai/models/microsoft/mai-image-2.5-flash/text-to-image)

## About this model

_Vendor-supplied description. Any pricing or endpoint mentioned below refers to_
_other platforms — use the Atlas Cloud values above._

#### MAI-Image-2.5-Flash Text-to-Image

**MAI-Image-2.5-Flash** is Microsoft's fast, cost-optimized text-to-image generation model, designed to create high-quality, visually rich images from natural language prompts at significantly lower cost than the standard MAI-Image-2.5. It uses the same diffusion-based generative approach, enabling strong alignment between the input text and the generated output, while being optimized for speed and throughput. Released on June 2, 2026.

#### Key Capabilities

- **Photorealistic image synthesis** — Generates realistic imagery with consistent visual structure, accurate lighting, depth, and texture, suitable for concept visualization and professional content creation.
- **High-fidelity portraits** — Produces expressive, natural-looking portraits with accurate facial structure, lighting, and skin texture.
- **Accurate text rendering** — Improved rendering of legible text within generated images, including labels, posters, packaging, and signage.
- **Visual reasoning** — Reasons across objects, scene structure, lighting, scale, and spatial positioning to produce consistent outputs even from ambiguous or complex prompts.
- **Product, branding & commercial design** — Well suited for product imagery, marketing visuals, brand assets, and commercial creative workflows.
- **Creative concept visualization** — Translates abstract textual descriptions into visually coherent and imaginative outputs.

#### Flash vs. Standard

| Feature | MAI-Image-2.5 | MAI-Image-2.5-Flash |
| --- | --- | --- |
| Output image cost | $0.05 / image | $0.03 / image |
| Speed | Standard | Faster |
| Quality | Maximum fidelity | High quality, optimized |
| Best for | Premium production | High-volume, cost-sensitive |

Flash is the recommended choice for high-volume workflows, rapid prototyping, and scenarios where speed and cost efficiency take priority over absolute maximum fidelity.

#### Pricing

_(Description truncated. Full text on the model page.)_

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Atlas Cloud — one API for 400+ AI models. Model page: https://www.atlascloud.ai/models/microsoft/mai-image-2.5-flash/text-to-image · Docs: https://www.atlascloud.ai/docs