Microsoft AI: MAI-Image-2.6 vs OpenAI: GPT Image 2
A side-by-side comparison of Microsoft AI: MAI-Image-2.6 ($17.50 / 1M tokens) and OpenAI: GPT Image 2 ($28.00 / 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 2 | |
|---|---|---|
| Provider | Microsoft | OpenAI |
| Input | $17.50 / 1M tokens | $28.00 / 1M tokens |
| Image input | $133.00 / 1M tokens | - |
| Image output | $133.00 / 1M tokens | $105.00 / 1M tokens |
| Output | - | $28.00 / 1M tokens |
| Cache read | - | $7.00 / 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 38% cheaper on input tokens.
- OpenAI: GPT Image 2 reads 97.7× more context (400,000 tokens).
- Only OpenAI: GPT Image 2 supports structured JSON output.
In depth
Microsoft AI: MAI-Image-2.6 is an image generation model from Microsoft, listed under the model id microsoft/mai-image-2.6. OpenAI: GPT Image 2 is an image generation model from OpenAI, listed under the model id openai/gpt-image-2. Both are image category models, meaning they take input and return generated images rather than text answers. Microsoft released MAI-Image-2.6 on 2026-09-04, while OpenAI released GPT Image 2 earlier, on 2026-06-24.
The two models accept the same input modalities, text and image, and both produce image output only. The clearest difference is context. GPT Image 2 has a context window of 400000 tokens, far larger than the 4096 token window of MAI-Image-2.6, so it can take in much longer prompts or far more reference material in a single call. They also differ in the parameters they expose. MAI-Image-2.6 supports max_completion_tokens, max_tokens and temperature. GPT Image 2 supports max_tokens, response_format, seed and structured_outputs. Structured outputs are available only on GPT Image 2, which matters if you need the response shaped in a predictable way. On price, MAI-Image-2.6 is the cheaper of the two on input; output pricing is not meaningfully different between them, so the cost gap is narrower than the input comparison alone suggests.
For practical work, the choice usually comes down to how much you need to feed the model and how much control you need over the response. If your prompts are short and you are generating images from a brief description or a single reference image, MAI-Image-2.6 is a reasonable default, and its cheaper input makes it attractive for high volume jobs where prompts stay small. If you are working with long prompts, many reference images, or detailed multi part instructions, the 400000 token context of GPT Image 2 gives you room that MAI-Image-2.6 simply does not have. If you need structured outputs or a seed for reproducible results, GPT Image 2 is the one to call, since MAI-Image-2.6 does not expose those parameters. Temperature control, on the other hand, is available on MAI-Image-2.6 and not listed for GPT Image 2.
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 change is the model id. Use microsoft/mai-image-2.6 for the Microsoft model and openai/gpt-image-2 for the OpenAI model. Your text and image inputs go in the same fields either way, and the image comes back in the response. This means you can build one code path, keep the model id in configuration, and switch between the two without rewriting your integration. It also makes comparison straightforward: run the same prompt against both ids and look at the results.
There are cases where the other model is still the better pick. If you have settled on GPT Image 2 for its long context but your prompts turn out to be short and simple, MAI-Image-2.6 will handle them and costs less on input, so it is worth testing on your actual workload rather than assuming the larger context is needed. Conversely, if you start on MAI-Image-2.6 and later need structured outputs, a seed, or much longer inputs, moving to openai/gpt-image-2 is a one line change to the model id. Check the live price table on this page for current rates before you commit, since the input difference is the main cost lever between them.
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-2" 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-2",
"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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