FLUX.2 Klein 4B
FLUX.2 [klein] 4B image edit: change or combine up to three source images with a written instruction, in the same small open model, with no content filter.
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FLUX.2 Klein 4B vs Z-Image Turbo LoRA
Z-Image Turbo LoRA lists a 4% lower unit price than FLUX.2 Klein 4B. Tier prices, request fields and limits side by side.
Z-Image Turbo LoRA
Z-Image Turbo LoRA image-to-image restyles one source image with up to three of your own LoRAs. A strength from 0 to 1 (default 0.8) sets how far it moves from the source, and the output keeps the source's aspect ratio.
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The short answer
Start with the input you have, the result you want and your budget. These are the differences that affect that choice.
- Z-Image Turbo LoRA has the lower listed unit price by 4%.
- Both are listed as Uncensored. Compare the examples and content-test details on each model page for the scenes you want to create.
Compare the published examples, then try the same input on both models with matching settings.
Test scores side by side
The Spicy Index and Freedom Score for both models, from the same daily calculation as the leaderboards.
| Measure | FLUX.2 Klein 4B | Z-Image Turbo LoRA |
|---|---|---|
| Spicy Index | 59.6 | 65.3 |
| Freedom Score | 78.6 | 95.0 |
| Evidence | Tested 6 of 6 probe types · 50 runs | Tested 6 of 6 probe types · 38 runs |
| Range if the rest pass | 78.6–78.6 | 95.0–95.0 |
| Price | $0.0093 per image | $0.012 per image |
| Reviews | Read the FLUX.2 Klein 4B review | Read the Z-Image Turbo LoRA review |
Current price
Price at the same setting
A start price answers a different question than the one you have. These are the tiers both models publish, matched setting for setting, in US dollars per billed unit with no conversion step in between.
Swipe horizontally to compare all fields.
| Tier | FLUX.2 Klein 4B | Z-Image Turbo LoRA | Difference |
|---|---|---|---|
| Current price | $0.013 / output images | $0.012 / output images | Z-Image Turbo LoRA −4% |
What one ordinary job costs
- FLUX.2 Klein 4B: $1.26 for one hundred images.
- Z-Image Turbo LoRA: $1.2 for one hundred images.
Arithmetic on the published rates at each model's own default setting, not a quote. The console prices your actual settings before a request is accepted.
About this comparison
Controls and limits
Every row here is read from the JSON Schema the endpoint validates against, so it matches what the API will really accept rather than a feature list written by hand.
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| Controls and limits | FLUX.2 Klein 4B | Z-Image Turbo LoRA |
|---|---|---|
| Supported tasks | image-to-image | image-to-image |
| Resolution tiers | 1K · 2K | 1K · 1.5k |
| Aspect ratios | auto · 1:1 · 16:9 · 9:16 · 4:3 · 3:4 · 3:2 · 2:3 · 21:9 · 9:21 | Not offered |
| Reference material | Up to 3 files | Not offered |
| High-resolution tier | Yes | No |
| Seed | Yes | Yes |
| Execution | Submit, then poll or take the callback | Submit, then poll or take the callback |
| Request timeout | 30 minutes | 30 minutes |
| Availability | Live | Live |
Do low-filter models allow every request?
Content policy, side by side
Two separate facts sit behind these labels. The first is what we do, which is nothing: no platform content filter, and no maturity flag to set on a request. The second is what each model does on its own, and that is the only part that varies between these two.
FLUX.2 Klein 4B
Uncensored
This model declares no content filter. SpicyAPI forwards the request without adding a platform content scan; legal and consent duties remain with the customer.
Z-Image Turbo LoRA
Uncensored
This model declares no content filter. SpicyAPI forwards the request without adding a platform content scan; legal and consent duties remain with the customer.
Use these content labels to shortlist models, then open each model page for available examples and content-test details.
The label never changes your obligations. Age, consent, real-person likeness and the law where you operate stay with you, and SpicyAPI does not inspect each request.
Can I swap the model ID without changing the request body?
Request body, field by field
The task lifecycle is shared; the body is not. Each endpoint publishes its own JSON Schema and the API validates against that, so this is the list to reconcile before a switch.
- 3 fields appear in both request bodies under the same names. prompt, resolution, seed
- Only FLUX.2 Klein 4B accepts: aspect_ratio, image_urls.
- Only Z-Image Turbo LoRA accepts: image_url, loras, output_format, strength.
- FLUX.2 Klein 4B requires image_urls, prompt.
- Z-Image Turbo LoRA requires image_url, prompt.
- Both reject unknown fields outright, so a parameter left over from the other model comes back as a validation error instead of being quietly ignored.
How to choose
How to choose
High-resolution delivery
FLUX.2 Klein 4B supports a high-resolution option.
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Moving from one to the other
The model identifiers are black-forest-labs/flux-2-klein-4b/edit and alibaba/z-image-turbo-lora/edit, and both go in the same field of the same request.
Both run the same way: submit the task, then poll it or take the callback. Queueing and retry logic carry over unchanged.
Both use the same submit-and-track flow, but their required inputs may differ. Check each model page before switching.
One key, one balance, one set of spend caps. Both bill to the same account in US dollars, and the per-key daily, monthly and lifetime limits apply to whichever one you call.
Questions developers ask
Which is cheaper, FLUX.2 Klein 4B or Z-Image Turbo LoRA?
Which is cheaper, FLUX.2 Klein 4B or Z-Image Turbo LoRA?
Z-Image Turbo LoRA has the lower listed unit price by 4%. Prices may change; check the estimate shown for your actual settings before submitting.
How long can a single request run?
FLUX.2 Klein 4B allows 30 minutes per task and Z-Image Turbo LoRA allows 30. Those are ceilings rather than typical times — most requests finish far sooner — but they are what your own client timeout has to survive.
Prices and capabilities shown here come from the current public model catalogue. Check each model page for its latest inputs and examples.
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