Jina AIEmbedding
Jina Embeddings V4
jina-embeddings-v4Jina Embeddings V4 by Jina AI.
- Context
- 8.2K tokens
- Endpoint
Pricing
Input$0.05 / 1M
Output$0 / 1M
Cache Write (5m)$0.05 / 1M
Cache Write (1h)$0.05 / 1M
Cache Read$0.05 / 1M
Quick Start
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Endpoint
python
from openai import OpenAI client = OpenAI( api_key="YOUR_API_KEY", base_url="https://api.apertis.ai/v1") response = client.chat.completions.create( model="jina-embeddings-v4", messages=[ {"role": "user", "content": "Hello!"} ], max_tokens=1024, temperature=0.7) print(response.choices[0].message.content) # Optional: Enable context compression to reduce token usage# response = client.chat.completions.create(# model="jina-embeddings-v4",# messages=[{"role": "user", "content": "Hello!"}],# extra_body={"compression": {"enabled": True, "model": "gpt-4.1-mini"}}# )Supported Parameters
API docsCommon4 params
modelinputencoding_formatdimensionsExtended1 param
userCursor IDE Model IDs
Use these namespaced identifiers in Cursor IDE to avoid conflicts with built-in models.
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