MOSS-Image Turbo vs FLUX.2 Klein 4B

MOSS-Image Turbo and FLUX.2 Klein 4B side by side: specs, capabilities, parameters, and live pricing from the EmpirioLabs catalog.

OpenMOSS Black Forest Labs Image Generation

MOSS-Image Turbo vs FLUX.2 Klein 4B at a glance

MOSS-Image Turbo from OpenMOSS and FLUX.2 Klein 4B from Black Forest Labs are both in the Image Generation category, available through the EmpirioLabs API.

Key differences

  • MOSS-Image Turbo is the newer release (Oct 16, 2026); FLUX.2 Klein 4B was released on Jan 15, 2026.
  • Input types only FLUX.2 Klein 4B accepts: Image.
  • Capabilities listed only for MOSS-Image Turbo: text rendering, multilingual text.
  • Capabilities listed only for FLUX.2 Klein 4B: image editing, reference images.
  • FLUX.2 Klein 4B lists the lower rate for Image generation (per image).

MOSS-Image Turbo vs FLUX.2 Klein 4B: specs

SpecMOSS-Image TurboFLUX.2 Klein 4B
Model IDmoss-image-turboflux-2-klein-4b
AuthorOpenMOSSBlack Forest Labs
ReleasedOct 16, 2026Jan 15, 2026
Input
Text
Text Image
Output
Image
Image
Endpoints
POST /v1/images/generations
POST /v1/images/generations
Capabilities
image generation text rendering multilingual text seed control
image generation image editing reference images seed control

MOSS-Image Turbo vs FLUX.2 Klein 4B: API pricing

Live rates from the EmpirioLabs catalog for both models. Each rate card always matches what the API charges.

MOSS-Image Turbo vs FLUX.2 Klein 4B: API parameters

Request parameters each model lists on EmpirioLabs, with the allowed values or range where one applies. A dash marks a parameter the model does not list.

ParameterMOSS-Image TurboFLUX.2 Klein 4B
promptstringstring
aspect_ratio1:1, 16:9, 9:16, 4:3, 3:4, 3:2, 2:3 Default: 1:11:1, 16:9, 9:16, 4:3, 3:4, 3:2, 2:3 Default: 1:1
sizestringstring
width512 to 2048256 to 2048
height512 to 2048256 to 2048
seed0 to 2147483647number
num_images1 to 4 Default: 11 to 4 Default: 1
formatwebp, png, jpg, jpeg Default: webpwebp, png, jpg, jpeg Default: webp
response_formaturl, b64_json Default: urlurl, b64_json Default: url
return_base64boolean Default: falseboolean Default: false
num_inference_steps-1 to 12 Default: 4
guidance_scale-0 to 8 Default: 1
max_sequence_length-64 to 512 Default: 512
images-array

MOSS-Image Turbo vs FLUX.2 Klein 4B: limits and notes

MOSS-Image Turbo

Generates images from text, with accurate English and Chinese text in signs, posters, labels, and layouts.

Input

  • A text prompt of up to 4,000 characters. Image inputs, negative prompts, and LoRA adapters are not supported.
  • Size from aspect_ratio (1:1, 16:9, 9:16, 4:3, 3:4, 3:2, or 2:3), from size as WIDTHxHEIGHT, or from width and height. Each side is a multiple of 16 from 512 to 2,048 pixels, and width x height is at most 1,048,576 pixels. The default is 1024x1024.
  • Up to 4 images per request with num_images.

Output

  • WebP by default, or PNG or JPEG with format.
  • A signed URL by default, or base64 with response_format set to b64_json.
  • Each image carries the seed it used.

Content safety

Generated images pass an automated content-safety check. An image flagged as explicit is not returned. Because the image is generated before the check runs, a flagged generation is still billed.

Weights

  • INT8.

FLUX.2 Klein 4B

Defaults

  • 1024x1024 image
  • 4 inference steps
  • Guidance scale 1.0
  • WebP output

Controls

Supports prompt, size/aspect ratio or explicit width/height, seed, n/num_images, and reference images. Width x height must be at most 1,048,576 pixels. Examples: 1024x1024, 1344x768, 768x1344, or 2048x512. Billing is per returned image, so num_images: 4 creates and bills 4 images.

Content safety

  • Generated images pass an automated content-safety check. An image flagged as explicit is not returned. Because the image is generated before the check runs, a flagged generation is still billed.

How to call MOSS-Image Turbo and FLUX.2 Klein 4B

MOSS-Image Turbo runs through POST /v1/images/generations. The request returns a job_id right away; poll GET /v1/jobs/{job_id} until the job completes and read the output URLs from the result. Or add "sync": true to skip polling: the request stays open and returns the finished OpenAI-style image response directly, so OpenAI SDKs work as-is. Both models are called through the same endpoint. Set model to moss-image-turbo or flux-2-klein-4b. Get an API key from the EmpirioLabs dashboard.

cURL: submit the job
curl https://api.empiriolabs.ai/v1/images/generations \
  -H "Authorization: Bearer $EMPIRIOLABS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "moss-image-turbo",
    "prompt": "Describe what you want MOSS-Image Turbo to generate."
  }'

MOSS-Image Turbo vs FLUX.2 Klein 4B: tests and guides

Prompt tests and comparison runs that cover both models.

MOSS-Image Turbo vs FLUX.2 Klein 4B: common questions

What is the difference between MOSS-Image Turbo and FLUX.2 Klein 4B?

MOSS-Image Turbo is the newer release (Oct 16, 2026); FLUX.2 Klein 4B was released on Jan 15, 2026. Input types only FLUX.2 Klein 4B accepts: Image. Capabilities listed only for MOSS-Image Turbo: text rendering, multilingual text. The specs, rate cards, and parameters on this page come from the live EmpirioLabs catalog.

Which is newer, MOSS-Image Turbo or FLUX.2 Klein 4B?

MOSS-Image Turbo is the newer release (Oct 16, 2026); FLUX.2 Klein 4B was released on Jan 15, 2026.

Which has the lower rate, MOSS-Image Turbo or FLUX.2 Klein 4B?

FLUX.2 Klein 4B lists the lower rate for Image generation (per image). Both live rate cards are on this page and always match what the API charges.

Can I switch between MOSS-Image Turbo and FLUX.2 Klein 4B without rebuilding my integration?

Yes. Both models use POST /v1/images/generations with the same EmpirioLabs API key, so most integrations switch by changing the model value. Check the parameters table on this page first if you rely on a model-specific parameter.

Can I try MOSS-Image Turbo and FLUX.2 Klein 4B in the browser before integrating?

Yes. Open each model in the EmpirioLabs playground and run the same prompt on both, with the parameters the API exposes.

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