Krea: Krea 2 Medium is an image model from Krea, released on 2026-07-20. Microsoft AI: MAI-Image-2.6 is an image model from Microsoft, released on 2026-09-04. Both sit in the same category, so you are choosing between two image generators rather than between an image model and a text or reasoning model. Each one takes text and image input and returns image output, which means both can be driven by a prompt alone or by a prompt plus a reference image.
The clearest difference is context. Krea 2 Medium accepts up to 65536 tokens, while MAI-Image-2.6 accepts up to 4096 tokens. For long prompts, multi image references, or any request that carries a lot of surrounding material, Krea 2 Medium gives you far more room before you have to trim. The two models match on modalities: text and image in, image out, for both. They differ on tunable parameters. MAI-Image-2.6 lists max_completion_tokens, max_tokens and temperature as supported parameters, so you can adjust sampling behaviour and output limits directly. Krea 2 Medium lists no supported parameters, so you send your request and take the result as the model produces it. The qualitative comparison marks Krea 2 Medium as the one with the bigger context, and leaves pricing, tool use, structured output and reasoning as either equal or not meaningfully different, so cost is not a deciding factor between them here.
For practical work, pick Krea 2 Medium when your prompt is long, when you are feeding several reference images, or when you want to describe a scene in detail without counting tokens. Pick MAI-Image-2.6 when your prompts are short and you want control over temperature or an explicit cap on generated tokens, since those knobs are available there and not on the Krea model. If your pipeline is simple prompt to image and you do not need parameter control, either model fits and the context difference will rarely matter.
Calling either one through api14 works the same way, because the API is OpenAI compatible. You point your existing client at the api14 base URL, send a chat completions style request, and change only the model id. Use "krea/krea-2-medium" for the Krea model and "microsoft/mai-image-2.6" for the Microsoft model. Everything else in the request body stays as it is, apart from the optional parameters that only MAI-Image-2.6 accepts. That makes switching between them a one line change, so you can test both against your own prompts and keep whichever behaves better for your workload.
There is a case where MAI-Image-2.6 is the better pick even though Krea 2 Medium has the larger context. If you rely on temperature to vary outputs across a batch, or you need to bound generation with max_tokens or max_completion_tokens, the Microsoft model exposes those controls and the Krea model does not. In that situation the smaller context is a fair trade for the parameter level control.