paraphrase-MiniLM-L6-v2

Other chattool_use

API ID: sentence-transformers/paraphrase-minilm-l6-v2-20251117

Input Price
$0.0050
/1M tokens
Output Price
Free
/1M tokens

About paraphrase-MiniLM-L6-v2

Paraphrase-MiniLM is Sentence Transformers' model optimized for paraphrase detection and semantic similarity. The model excels at identifying similar meanings across different phrasings. Paraphrase-MiniLM is efficient while maintaining good performance on similarity tasks. It's valuable for duplicate detection and content matching. For developers building similarity-based applications, Paraphrase-MiniLM offers focused capability.

๐Ÿ’ฐ
Price Ranking
#547 lowest price among 950 Chat models

Model Specifications

Context Length
512
Max Output
โ€”
Release Date
2025-11-18
Capabilities
chat tool_use
Input Modalities
text
Output Modalities
embeddings

Best For

  • Conversations, content writing, general assistance

Consider Alternatives For

  • Image understanding (needs vision capability)

๐Ÿ’ฐ Real-World Cost Examples

Estimated monthly costs for common use cases

Personal AI Assistant
$0.00
/month
50 conversations/day, ~500 tokens each
Customer Service Bot
$0.07
/month
1000 tickets/day, ~800 tokens each

Other Model Lineup

Compare all models from Other to find the best fit

Model Input Output Context Capabilities
paraphrase-MiniLM-L6-v2 Current Free Free 512 chat tool_use
Riverflow V2 Max Preview Free Free 8k chat vision image_gen
Riverflow V2 Standard Preview Free Free 8k chat vision image_gen
Riverflow V2 Fast Preview Free Free 8k chat vision image_gen
AFM 4.5B Free Free 66k chat
AFM 4.5B Free Free 66k chat

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๐Ÿš€ Quick Start

Get started with paraphrase-MiniLM-L6-v2 API

OpenAI-compatible SDK
from openai import OpenAI

client = OpenAI(
    base_url="https://api.provider.com/v1",
    api_key="YOUR_API_KEY"
)

response = client.chat.completions.create(
    model="sentence-transformers/paraphrase-minilm-l6-v2-20251117",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)
print(response.choices[0].message.content)