Live market

flux-3-image-klein

Name: Black Forest Labs: FLUX 3 Image Klein
Brand: black-forest-labs
SKU: flux-3-image-klein
Availability: OutOfStock

Black Forest Labs: FLUX 3 Image Klein

Browse what's available

Nobody is selling this model right now. The prices below are the published rate, not an offer — a request would find no supply. They are kept visible so the rate can be watched and compared.

Quoted share of list: 80%
Quoted output / 1M: 1.533 USDT
Sellers online: 0
Calls / min: 0

Calling this model

POST /images — the same request OpenAI's SDKs already send. Point the base URL at asale and change nothing else.

billed per output token

INPUT

What to generate, in words.

Reference pictures to guide the result, image-to-image.

How many to return in one call.

Shape of the output.

Output resolution.

Minimum charge per request: 0.000013 USDT

Output

Run it to see the answer here.

Or call it from your own code

curl https://gw.asale.ai/v1/images \
  -H "Authorization: Bearer $ASALE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "flux-3-image-klein",
    "prompt": "a red panda astronaut, studio lighting",
    "n": 1,
    "aspect_ratio": "16:9"
  }'

import os, requests

r = requests.post(
    "https://gw.asale.ai/v1/images",
    headers={"Authorization": f"Bearer {os.environ['ASALE_API_KEY']}"},
    json={
      "model": "flux-3-image-klein",
      "prompt": "a red panda astronaut, studio lighting",
      "n": 1,
      "aspect_ratio": "16:9"
    },
)
r.raise_for_status()
print(r.json())

const r = await fetch("https://gw.asale.ai/v1/images", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${process.env.ASALE_API_KEY}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    "model": "flux-3-image-klein",
    "prompt": "a red panda astronaut, studio lighting",
    "n": 1,
    "aspect_ratio": "16:9"
  }),
});
if (!r.ok) throw new Error(await r.text());
console.log(await r.json());

Request fields

Field	Type	Accepts	Meaning
modelrequired	string	—	Which model serves the request.
promptrequired	text	—	What to generate, in words.
input_references	images	0 … 10	Reference pictures to guide the result, image-to-image.
n	int	1 … 1	How many to return in one call.
aspect_ratio	enum	21:9 · 2:1 · 16:9 · 3:2 · 7:5 · 4:3 · 5:4 · 1:1 · 4:5 · 3:4 · 5:7 · 2:3 · 9:16 · 1:2 · 9:21 · auto	Shape of the output.
resolution	enum	768 · 1K · 1.5K · 2K · 4K	Output resolution.

Response

{
  "created": 1788356612,
  "data": [
    {
      "b64_json": "iVBORw0KGgo…",
      "media_type": "image/png"
    }
  ],
  "usage": {
    "prompt_tokens": 14,
    "completion_tokens": 4096,
    "total_tokens": 4110
  }
}

Token type	List / 1M	Market / 1M	Of list price
Input	—	—	—
Output	1.916	1.533	80%
Cache read	—	—	—
Cache write	—	—	—

Channel quality

What has been measured about the supply behind this price. Readings, not promises — and aggregate, because which seller failed is nobody's business but theirs and ours.

Online lanes: 0
Verified lanes: —; Proved they serve this model
First byte (p50): —
Success rate: —; No turns settled in the window
Sellable capacity: —; Tokens offered right now

Latency and verification are measured over the last day; the success rate comes from settled traffic. See the status page

Price trend

Currently selling at 80% of the vendor's list price. More sellers online push it down; more buyers push it back up to list.

Of list price: 80%
Sellers online: 0
Calls / min: 0

Market depth

No live asks for this model.

BFflux-3-image-klein

flux-3-image-klein