per 1M tokens
Models / Sentence Transformers
Sentence Transformers: all-MiniLM-L6-v2
sentence-transformers/all-minilm-l6-v2
The all-MiniLM-L6-v2 embedding model maps sentences and short paragraphs into a 384-dimensional dense vector space, enabling high-quality semantic representations that are ideal for downstream tasks such as information retrieval, clustering,...
Price
per 1M tokens
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 |
|---|---|---|---|---|---|---|---|---|
| DeepInfra Price differs from the host list |
deepinfra/us | — | $0.005/1M | $0/1M | 512 | 100% | Live | openrouter-endpoints |
| DeepInfra Price differs from OpenRouter |
— | — | $0.005/1M | Not published— | 512 | — | Listed | deepinfra |
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 | $0/1M | Not published— | official |
Price history
input or flat output
Daily snapshots
| UTC date | Unit | Input | Output | Flat |
|---|---|---|---|---|
| 2026-09-15 | token | $0.005 | $0 | Not published— |
| 2026-09-16 | token | $0.005 | $0 | Not published— |
| 2026-09-17 | token | $0.005 | $0 | Not published— |
| 2026-09-18 | token | $0.005 | $0 | Not published— |
| 2026-09-19 | token | $0.005 | $0 | Not published— |
| 2026-09-20 | token | $0.005 | $0 | Not published— |
| 2026-09-21 | token | $0.005 | $0 | Not published— |
| 2026-09-22 | token | $0.005 | $0 | Not published— |
| 2026-09-23 | token | $0.005 | $0 | Not published— |
| 2026-09-24 | token | $0.005 | $0 | Not published— |
| 2026-09-25 | token | $0.005 | $0 | Not published— |
| 2026-09-26 | token | $0.005 | $0 | Not published— |
| 2026-09-27 | token | $0.005 | $0 | Not published— |
| 2026-09-28 | token | $0.005 | $0 | Not published— |
| 2026-09-29 | token | $0.005 | $0 | Not published— |
| 2026-09-30 | token | $0.005 | $0 | Not published— |
| 2026-10-01 | token | $0.005 | $0 | Not published— |
| 2026-10-02 | token | $0.005 | $0 | Not published— |
| 2026-10-03 | token | $0.005 | $0 | Not published— |
| 2026-10-04 | token | $0.005 | $0 | Not published— |
| 2026-10-05 | token | $0.005 | $0 | Not published— |
| 2026-10-06 | token | $0.005 | $0 | Not published— |
| 2026-10-07 | token | $0.005 | $0 | Not published— |
| 2026-10-08 | token | $0.005 | $0 | Not published— |
| 2026-10-09 | token | $0.005 | $0 | Not published— |
| 2026-10-10 | token | $0.005 | $0 | Not published— |
| 2026-10-11 | token | $0.005 | $0 | Not published— |
| 2026-10-12 | token | $0.005 | $0 | Not published— |
| 2026-10-13 | token | $0.005 | $0 | Not published— |
| 2026-10-14 | token | $0.005 | $0 | Not published— |
| 2026-10-15 | token | $0.005 | $0 | Not published— |
| 2026-10-16 | token | $0.005 | $0 | Not published— |
| 2026-10-17 | token | $0.005 | $0 | Not published— |
| 2026-10-18 | token | $0.005 | $0 | Not published— |
| 2026-10-19 | token | $0.005 | $0 | Not published— |
| 2026-10-20 | token | $0.005 | $0 | Not published— |
| 2026-10-21 | token | $0.005 | $0 | Not published— |
| 2026-10-22 | token | $0.005 | $0 | Not published— |
| 2026-10-23 | token | $0.005 | $0 | Not published— |
| 2026-10-24 | token | $0.005 | $0 | Not published— |
| 2026-10-25 | token | $0.005 | $0 | Not published— |
| 2026-10-26 | token | $0.005 | $0 | Not published— |
| 2026-10-27 | token | $0.005 | $0 | Not published— |
| 2026-10-28 | token | $0.005 | $0 | Not published— |
| 2026-10-29 | token | $0.005 | $0 | Not published— |
| 2026-10-30 | token | $0.005 | $0 | 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-mpnet-base-v2$0.005/1M · Compare
Call this model
OpenRouter id sentence-transformers/all-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":"sentence-transformers/all-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: "sentence-transformers/all-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": "sentence-transformers/all-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())