per unit
Segment Anything Model 3
fal/fal-ai/sam-3/image
SAM 3 is a unified foundation model for promptable segmentation in images and videos. It can detect, segment, and track objects using text or visual prompts such as points, boxes, and masks.
Price
Providers
Each row is one seller. Prices are the published rate from that source. A dash means that source did not publish the amount. Sorted by a 3:1 blend of input and output.
| Provider | Tag | Quant | Input | Output | Context | Uptime | Status | Source |
|---|---|---|---|---|---|---|---|---|
| fal | — | — | Not published— | Not published— | — | — | Listed | fal |
Monthly bill
Token models use the token counts. Image, video, and audio models use units times the flat rate.
$5.00 at list price for this workload
Every rate
| Unit | Input | Output | Flat | Confidence |
|---|---|---|---|---|
| unit | Not published— | Not published— | $0.005/unit | official |
Price history
input or flat output
input or flat output
Daily snapshots
| UTC date | Unit | Input | Output | Flat |
|---|---|---|---|---|
| 2026-10-08 | units | Not published— | Not published— | $0.005 |
| 2026-10-09 | unit | Not published— | Not published— | $0.005 |
| 2026-10-10 | unit | Not published— | Not published— | $0.005 |
| 2026-10-11 | unit | Not published— | Not published— | $0.005 |
| 2026-10-12 | unit | Not published— | Not published— | $0.005 |
| 2026-10-13 | unit | Not published— | Not published— | $0.005 |
| 2026-10-14 | unit | Not published— | Not published— | $0.005 |
| 2026-10-15 | unit | Not published— | Not published— | $0.005 |
| 2026-10-16 | unit | Not published— | Not published— | $0.005 |
| 2026-10-17 | unit | Not published— | Not published— | $0.005 |
| 2026-10-18 | unit | Not published— | Not published— | $0.005 |
| 2026-10-19 | unit | Not published— | Not published— | $0.005 |
| 2026-10-20 | unit | Not published— | Not published— | $0.005 |
| 2026-10-21 | unit | Not published— | Not published— | $0.005 |
| 2026-10-22 | unit | Not published— | Not published— | $0.005 |
| 2026-10-23 | unit | Not published— | Not published— | $0.005 |
| 2026-10-24 | unit | Not published— | Not published— | $0.005 |
| 2026-10-25 | unit | Not published— | Not published— | $0.005 |
| 2026-10-26 | unit | Not published— | Not published— | $0.005 |
| 2026-10-27 | unit | Not published— | Not published— | $0.005 |
| 2026-10-28 | unit | Not published— | Not published— | $0.005 |
| 2026-10-29 | unit | Not published— | Not published— | $0.005 |
| 2026-10-30 | unit | Not published— | Not published— | $0.005 |
Alternatives
- PrunaAI/p-image$0.005/image · Compare
- Z Image Turbo$0.005/megapixels · Compare
- FLUX.2 [klein] 9B$0.006/megapixels · Compare
- ByteDance Seed: Seedream 5.0 Pro$0.003/image · Compare
- FLUX.1 [schnell]$0.003/megapixels · Compare
- Qwen: Qwen Image 3$0.003/image · Compare
Call this model
OpenRouter id fal/fal-ai/sam-3/image. InferenceList does not send the request.
curl
curl https://openrouter.ai/api/v1/chat/completions \
-H "Authorization: Bearer $OPENROUTER_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"fal/fal-ai/sam-3/image","messages":[{"role":"user","content":"Hello"}]}'
JavaScript
await fetch("https://openrouter.ai/api/v1/chat/completions", {
method: "POST",
headers: {
Authorization: "Bearer " + process.env.OPENROUTER_API_KEY,
"Content-Type": "application/json",
},
body: JSON.stringify({
model: "fal/fal-ai/sam-3/image",
messages: [{ role: "user", content: "Hello" }],
}),
});
Python
import os, json, urllib.request
req = urllib.request.Request(
"https://openrouter.ai/api/v1/chat/completions",
data=json.dumps({"model": "fal/fal-ai/sam-3/image", "messages": [{"role": "user", "content": "Hello"}]}).encode(),
headers={"Authorization": "Bearer " + os.environ["OPENROUTER_API_KEY"], "Content-Type": "application/json"},
)
print(urllib.request.urlopen(req).read().decode())