Flux Kontext Max vs QWEN Image Max
Generated on PixelDojo. Produced by PixelDojo's generation pipeline.
Flux Kontext Max and QWEN Image Max both cost 2 credits per image. We sent both a scene instruction written to edit a specific reference photo, on August 26, 2026. Neither apiId has a reference image field, so both read the wording as plain text and generated a new person matching the description rather than the actual source photo. Flux Kontext Max finished in about 13 seconds. QWEN Image Max took about 31 seconds and also rendered several street signs with garbled, unreadable lettering.
Same instruction, neither used the source photo
Every example below was produced on PixelDojo. Hover to see the prompt.
Place this exact woman on a bicycle crossing a rainy city crosswalk at dusk, neon shop signs reflecting in puddles, cinematic wide shot, keep her face, glasses, red curly hair, denim jacket and yellow shirt identical
Flux Kontext Max
Place this exact woman on a bicycle crossing a rainy city crosswalk at dusk, neon shop signs reflecting in puddles, cinematic wide shot, keep her face, glasses, red curly hair, denim jacket and yellow shirt identical
QWEN Image Max
Same edit instruction, same day. Flux Kontext Max: 2 credits, about 13 seconds. QWEN Image Max: 2 credits, about 31 seconds, plus garbled sign text.
Why Choose Pixel Dojo for Flux Kontext Max vs QWEN Image Max
Professional-quality results with cutting-edge AI technology
Both are the same price
2 credits per image on either model, so the difference is speed and what the output actually contains, not cost.
Flux Kontext Max was more than twice as fast
About 13 seconds against about 31 seconds for QWEN Image Max, same instruction, same day, same price.
Neither one can take a reference photo on these apiIds
Both generated a different face than the source photo. If keeping an exact identity matters, an edit-capable model with an image input field is the better fit.
How It Works
How we ran the comparison, so you can repeat it:
Send the same instruction to both
The identical scene wording went to flux-kontext-max and qwen-image-max as a plain text prompt, since neither accepts an image field.
Bracket each request with a timestamp
We logged the second before submitting and the second the finished file arrived, for both models, on the same day.
Check the output against the source photo
We compared each result to the actual reference photo to confirm neither model used it, then looked at signage text and framing.
The Pixel Dojo Advantage
Same wording, same day, same 2 credit price. Neither one edited the actual reference photo.
| Others | Pixel Dojo |
|---|---|
| Flux Kontext Max: 2 credits flat, about 13 seconds on our run | QWEN Image Max: 2 credits flat, about 31 seconds on our run |
| Flux Kontext Max: no reference image field in its schema, text prompt only | QWEN Image Max: no reference image field on this apiId either, text prompt only |
| Flux Kontext Max: tight vertical crop, output 1024x1024, red and pink neon signage rendered cleanly | QWEN Image Max: wider full-body crop, output 1664x928, storefront signs rendered as garbled, unreadable lettering |
| Flux Kontext Max: description promises improved typography for lettering-heavy generation work | QWEN Image Max: description promises highest quality output among the QWEN Image variants |
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Common Questions
Everything you need to know about Flux Kontext Max vs QWEN Image Max
Can Flux Kontext Max or QWEN Image Max edit an existing photo?
Not through these apiIds. Neither one has a reference image field in its schema, so a call to either is text-to-image only regardless of the wording you send.
What does each cost?
The same, 2 credits per image for either model at default settings.
Which one is faster?
Flux Kontext Max, in our test: about 13 seconds against about 31 seconds for QWEN Image Max, same instruction, same day.
Did either model render readable text in the scene?
Flux Kontext Max's storefront signage came out legible. QWEN Image Max's street signs rendered as garbled lettering that does not spell real words, a known weak point for text rendering in that run.
So which should I use for a reference-based scene edit?
Neither, if keeping an exact face from a photo matters. Use a model with a real reference image input for that. Between these two on text alone, Flux Kontext Max is faster and rendered its scene text cleanly.
How do I call either one from the API?
POST to /api/v1/models/flux-kontext-max/run for Flux Kontext Max, or /api/v1/models/qwen-image-max/run for QWEN Image Max. Same API key, same request shape.