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sentence-transformers/all-mpnet-base-v2

deepinfra/sentence-transformers/all-mpnet-base-v2

textContext 512

A sentence transformation model that has been trained on a wide range of datasets, including but not limited to S2ORC, WikiAnwers, PAQ, Stack Exchange, and Yahoo! Answers. Our model can be used for various NLP tasks such as clustering, sentiment analysis, and question answering.

Price

Input$0.005

per 1M tokens

Compare this model

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.

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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
UnitInputOutputFlatConfidence
token $0.005/1M Not published— Not published— official

Price history

sentence-transformers/all-mpnet-base-v2
0.0055 0 2026-10-08: $0.0052026-10-09: $0.0052026-10-10: $0.0052026-10-11: $0.0052026-10-12: $0.0052026-10-13: $0.0052026-10-14: $0.0052026-10-15: $0.0052026-10-16: $0.0052026-10-17: $0.0052026-10-18: $0.0052026-10-19: $0.0052026-10-20: $0.0052026-10-21: $0.0052026-10-22: $0.0052026-10-23: $0.0052026-10-24: $0.0052026-10-25: $0.0052026-10-26: $0.0052026-10-27: $0.0052026-10-28: $0.0052026-10-29: $0.0052026-10-30: $0.005 2026-10-08 2026-10-30

input or flat output

Daily snapshots
UTC dateUnitInputOutputFlat
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

Parameters (1)
embed
Call this model

OpenRouter id deepinfra/sentence-transformers/all-mpnet-base-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-mpnet-base-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-mpnet-base-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-mpnet-base-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())

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