per 1M tokens
sentence-transformers/paraphrase-MiniLM-L6-v2
deepinfra/sentence-transformers/paraphrase-MiniLM-L6-v2
We present a sentence similarity model based on the Sentence Transformers architecture, which maps sentences to a 384-dimensional dense vector space. The model uses a pre-trained BERT encoder and applies mean pooling on top of the contextualized word embeddings to obtain sentence embeddings. We evaluate the model on the Sentence Embeddings Benchmark.
Price
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$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
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Daily snapshots
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| 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— |
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| 2026-10-19 | token | $0.005 | Not published— | Not published— |
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| 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— |
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| 2026-10-29 | token | $0.005 | Not published— | Not published— |
| 2026-10-30 | token | $0.005 | Not published— | Not published— |
Alternatives
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Parameters (1)
embed
Call this model
OpenRouter id deepinfra/sentence-transformers/paraphrase-MiniLM-L6-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/paraphrase-MiniLM-L6-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/paraphrase-MiniLM-L6-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/paraphrase-MiniLM-L6-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())