Microsoft AI: MAI-Image-2.6 vs OpenAI: GPT Image 1
A side-by-side comparison of Microsoft AI: MAI-Image-2.6 ($17.50 / 1M tokens) and OpenAI: GPT Image 1 ($35.00 / 1M tokens) using current USD prices and capabilities from the api14 catalog. Both run through the same OpenAI-compatible API.
Specifications
| Microsoft AI: MAI-Image-2.6 | OpenAI: GPT Image 1 | |
|---|---|---|
| Provider | Microsoft | OpenAI |
| Input | $17.50 / 1M tokens | $35.00 / 1M tokens |
| Image input | $133.00 / 1M tokens | - |
| Image output | $133.00 / 1M tokens | $140.00 / 1M tokens |
| Output | - | $35.00 / 1M tokens |
| Cache read | - | $4.38 / 1M tokens |
| Web search | - | $35.00 / 1K searches |
| Context window | 4,096 | 400,000 |
| Max output | 1,024 | 360,000 |
| Input | text, image | text, image |
| Output | image | image |
| Tool calling | ||
| Structured output | ||
| Reasoning control | ||
| Added | Sep 4, 2026 | Jun 24, 2026 |
Key differences
- Microsoft AI: MAI-Image-2.6 is 50% cheaper on input tokens.
- OpenAI: GPT Image 1 reads 97.7× more context (400,000 tokens).
- Only OpenAI: GPT Image 1 supports structured JSON output.
In depth
Microsoft AI: MAI-Image-2.6 is an image model from Microsoft, listed under the model id microsoft/mai-image-2.6. OpenAI: GPT Image 1 is an image model from OpenAI, listed under the model id openai/gpt-image-1. Both sit in the same category on api14, so the choice between them is not about one being an image model and the other being something else. It is about which one fits the way you generate images and how much text you need to feed in alongside the prompt.
The clearest split is context. GPT Image 1 accepts up to 400000 tokens of context, while MAI-Image-2.6 accepts 4096. If your prompt includes long reference material, a detailed brief, or a stack of prior turns, GPT Image 1 has far more room to hold it. Both models take text and image as input and return image as output, so neither gives you a text answer back. On parameters they diverge: MAI-Image-2.6 supports max_completion_tokens, max_tokens and temperature, while GPT Image 1 supports max_tokens, response_format, seed and structured_outputs. Structured outputs are only on the OpenAI side, and seed is only on the OpenAI side, which matters if you need repeatable generations. On price, MAI-Image-2.6 is the cheaper of the two for input. Output pricing is not meaningfully different between them, so the input side is where the cost gap shows up.
For short, prompt-driven image generation where you want to tune sampling with temperature and keep input cost down, MAI-Image-2.6 is the natural pick. For work that needs a large context window, a fixed seed for reproducibility, or structured outputs wired into your pipeline, GPT Image 1 is the better fit. If you are captioning or describing images rather than generating them, neither model helps, because both output images only. If your prompt is a few sentences and you do not need seed or structured outputs, the smaller context on MAI-Image-2.6 will not get in your way, and the cheaper input pricing works in your favour.
Calling either model through api14 works the same way, because the API is OpenAI-compatible. You send your request to the same endpoint with the same request shape, and the only thing you change is the model id: microsoft/mai-image-2.6 for the Microsoft model, openai/gpt-image-1 for the OpenAI model. Your text and image inputs go in the same fields either way, and the image comes back the same way. That means you can build one code path, keep the model id in configuration, and switch between the two without rewriting your client. Just remember that the parameter sets differ, so temperature and max_completion_tokens belong with the Microsoft model, while response_format, seed and structured_outputs belong with the OpenAI model.
There is a case where the other model still wins. If you have settled on MAI-Image-2.6 for cost but your prompt grows past what 4096 tokens can hold, GPT Image 1 is the one that keeps working, since its context window is far larger. Conversely, if you are using GPT Image 1 for its seed or structured outputs but your inputs are short and input cost is the deciding factor, MAI-Image-2.6 is the cheaper input option. Check the live price table on this page for current rates before you commit, and pick based on context length, the parameters you actually need, and which side is cheaper for the way you call it.
Switch with one string
Both models use the same endpoint and request shape. Change the model value from "microsoft/mai-image-2.6" to "openai/gpt-image-1" and prompts, streaming and tools keep working.
import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://api14.com/api/v1",
apiKey: process.env.API14_API_KEY,
});
const result = await client.images.generate({
"model": "openai/gpt-image-1",
"prompt": "A minimalist product photo of a ceramic mug on a wooden table",
"n": 1,
"aspect_ratio": "1:1"
});
import { writeFile } from "node:fs/promises";
await writeFile("image.png", Buffer.from(result.data[0].b64_json, "base64"));
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