bencevans/megadetector-v5a
replicate/bencevans/megadetector-v5a
Detect Animals, Humans and Vehicles in Camera Trap Imagery with MegaDetector v5a
Price
No published list 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.
No provider prices yet.
Monthly bill
Token models use the token counts. Image, video, and audio models use units times the flat rate.
No published price at list price for this workload
Every rate
| Unit | Input | Output | Flat | Confidence |
|---|---|---|---|---|
| prediction | Not published— | Not published— | Not published— | official |
Price history
No numeric history is available for a chart.
Daily snapshots
| UTC date | Unit | Input | Output | Flat |
|---|---|---|---|---|
| 2026-10-09 | prediction | Not published— | Not published— | Not published— |
| 2026-10-10 | prediction | Not published— | Not published— | Not published— |
| 2026-10-11 | prediction | Not published— | Not published— | Not published— |
| 2026-10-12 | prediction | Not published— | Not published— | Not published— |
| 2026-10-13 | prediction | Not published— | Not published— | Not published— |
| 2026-10-14 | prediction | Not published— | Not published— | Not published— |
| 2026-10-15 | prediction | Not published— | Not published— | Not published— |
| 2026-10-16 | prediction | Not published— | Not published— | Not published— |
| 2026-10-17 | prediction | Not published— | Not published— | Not published— |
| 2026-10-18 | prediction | Not published— | Not published— | Not published— |
| 2026-10-19 | prediction | Not published— | Not published— | Not published— |
| 2026-10-20 | prediction | Not published— | Not published— | Not published— |
| 2026-10-21 | prediction | Not published— | Not published— | Not published— |
| 2026-10-22 | prediction | Not published— | Not published— | Not published— |
| 2026-10-23 | prediction | Not published— | Not published— | Not published— |
| 2026-10-24 | prediction | Not published— | Not published— | Not published— |
| 2026-10-25 | prediction | Not published— | Not published— | Not published— |
| 2026-10-26 | prediction | Not published— | Not published— | Not published— |
| 2026-10-27 | prediction | Not published— | Not published— | Not published— |
| 2026-10-28 | prediction | Not published— | Not published— | Not published— |
| 2026-10-29 | prediction | Not published— | Not published— | Not published— |
| 2026-10-30 | prediction | Not published— | Not published— | Not published— |
Alternatives
Call this model
OpenRouter id replicate/bencevans/megadetector-v5a. 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":"replicate/bencevans/megadetector-v5a","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: "replicate/bencevans/megadetector-v5a",
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": "replicate/bencevans/megadetector-v5a", "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())