Microsoft AI: MAI-Image-2.6 vs Auto Code
A side-by-side comparison of Microsoft AI: MAI-Image-2.6 ($17.50 / 1M tokens) and Auto Code ($105.00 / 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 | Auto Code | |
|---|---|---|
| Provider | Microsoft | OpenRouter |
| Input | $17.50 / 1M tokens | $105.00 / 1M tokens |
| Image input | $133.00 / 1M tokens | - |
| Image output | $133.00 / 1M tokens | - |
| Output | - | $630.00 / 1M tokens |
| Context window | 4,096 | 2,000,000 |
| Max output | 1,024 | 65,536 |
| Input | text, image | text, image, audio, file, video |
| Output | image | text, image |
| Tool calling | ||
| Structured output | ||
| Reasoning control | ||
| Added | Sep 4, 2026 | Nov 5, 2026 |
Key differences
- Microsoft AI: MAI-Image-2.6 is 83% cheaper on input tokens.
- Auto Code reads 488.3× more context (2,000,000 tokens).
- Only Auto Code supports tool calling.
- Only Auto Code supports structured JSON output.
- Only Auto Code supports reasoning effort control.
Switch with one string
Both models use the same endpoint and request shape. Change the model value from "microsoft/mai-image-2.6" to "openrouter/auto-code" 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": "openrouter/auto-code",
"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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