Sentence Transformers/OtherActive

multi-qa-mpnet-base-dot-v1

This is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and was designed for **semantic search**. It has been trained on 215M (question, answer) pairs from diverse sources. For an introduction to semantic search, have a look at: SBERT.net - Semantic Search

Compare this modelView primary source
Context
512
Max output
Unknown
Input
$0.005
Output
$0.00
DECISION SUMMARY

Recommended use cases

MultimodalValue

Strengths in this dataset

  • 512-token context window
  • text input
  • 11 supported API parameters listed

Limits and caveats

  • Provider behavior and pricing can change; verify the linked sources before production use.
CAPABILITIES

Capability

Model-native facts

Model
Reasoning
Unknown
Open weights
Unknown

Provider endpoint facts

Provider endpoint
Tool calling
Not supported
Structured output
Supported
Streaming
Unknown
Prompt cache
Unknown
Batch
Unknown
Fine-tuning
Unknown
PROVIDER PRICING

multi-qa-mpnet-base-dot-v1 Provider pricing

Provider endpoint: sentence-transformers/multi-qa-mpnet-base-dot-v1

Input
$0.005
per 1M tokens
Output
$0.00
per 1M tokens
Cached input
Unknown
per 1M tokens
Image output
Unknown
per 1M tokens
SOURCE RECORDS

Sources and verification

Hugging Face model card

Fields: tags, gated, summary, datasets, languages, library name, pipeline tag

OpenRouter Models API

Fields: identity, description, modalities, context window, maximum output, pricing, supported parameters

MODEL FAQ

Frequently asked questions

Answers are generated from the same sourced model and provider facts shown above.

This is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and was designed for **semantic search**. It has been trained on 215M (question, answer) pairs from diverse sources. For an introduction to semantic search, have a look at: SBERT.net - Semantic Search

Model specifications and prices may vary by provider and change over time. AIToolly displays sources and verification dates so users can confirm critical details before production use.