per 1M tokens
sentence-transformers/all-MiniLM-L12-v2
deepinfra/sentence-transformers/all-MiniLM-L12-v2
We present a sentence transformation model that generates semantically similar sentences. Our model is based on the Sentence-Transformers architecture and was trained on a large dataset of sentence pairs. We evaluate the effectiveness of our model by measuring its ability to generate similar sentences that are close to the original sentence in meaning.
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.
$0.01 at list price for this workload
Every rate
| Unit | Input | Output | Flat | Confidence |
|---|---|---|---|---|
| token | $0.005/1M | Not published— | Not published— | official |
Price history
input or flat output
Daily snapshots
| UTC date | Unit | Input | Output | Flat |
|---|---|---|---|---|
| 2026-10-08 | token | $0.005 | Not published— | Not published— |
| 2026-10-09 | token | $0.005 | Not published— | Not published— |
| 2026-10-10 | token | $0.005 | Not published— | Not published— |
| 2026-10-11 | token | $0.005 | Not published— | Not published— |
| 2026-10-12 | token | $0.005 | Not published— | Not published— |
| 2026-10-13 | token | $0.005 | Not published— | Not published— |
| 2026-10-14 | token | $0.005 | Not published— | Not published— |
| 2026-10-15 | token | $0.005 | Not published— | Not published— |
| 2026-10-16 | token | $0.005 | Not published— | Not published— |
| 2026-10-17 | token | $0.005 | Not published— | Not published— |
| 2026-10-18 | token | $0.005 | Not published— | Not published— |
| 2026-10-19 | token | $0.005 | Not published— | Not published— |
| 2026-10-20 | token | $0.005 | Not published— | Not published— |
| 2026-10-21 | token | $0.005 | Not published— | Not published— |
| 2026-10-22 | token | $0.005 | Not published— | Not published— |
| 2026-10-23 | token | $0.005 | Not published— | Not published— |
| 2026-10-24 | token | $0.005 | Not published— | Not published— |
| 2026-10-25 | token | $0.005 | Not published— | Not published— |
| 2026-10-26 | token | $0.005 | Not published— | Not published— |
| 2026-10-27 | token | $0.005 | Not published— | Not published— |
| 2026-10-28 | token | $0.005 | Not published— | Not published— |
| 2026-10-29 | token | $0.005 | Not published— | Not published— |
| 2026-10-30 | token | $0.005 | Not published— | Not published— |
Alternatives
- BAAI/bge-base-en-v1.5$0.005/1M · Compare
- BAAI: bge-base-en-v1.5$0.005/1M · Compare
- intfloat/e5-base-v2$0.005/1M · Compare
- Intfloat: E5-Base-v2$0.005/1M · Compare
- Sentence Transformers: all-MiniLM-L12-v2$0.005/1M · Compare
- Sentence Transformers: all-MiniLM-L6-v2$0.005/1M · Compare
Parameters (1)
embed
Call this model
OpenRouter id deepinfra/sentence-transformers/all-MiniLM-L12-v2. 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":"deepinfra/sentence-transformers/all-MiniLM-L12-v2","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: "deepinfra/sentence-transformers/all-MiniLM-L12-v2",
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": "deepinfra/sentence-transformers/all-MiniLM-L12-v2", "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())