Jina Clip V2

jina-clip-v2 · Jina AI

Multi-modal Embeddings Model, multilingual, 1024-dimensional, 865M parameters.

API Pricing

Input$0.05 / 1M tokens
Output$0.05 / 1M tokens

Specifications

Modalitiestext, image

Frequently asked questions

What is Jina Clip V2?

Multi-modal Embeddings Model, multilingual, 1024-dimensional, 865M parameters.

How much does Jina Clip V2 cost?

On AIHubMix, Jina Clip V2 costs $0.05 per million input tokens and $0.05 per million output tokens.

What modalities does Jina Clip V2 support?

Jina Clip V2 accepts text and image input.

How do I call Jina Clip V2 via API?

Jina Clip V2 is available through the AIHubMix unified API. The API is OpenAI-compatible: point your OpenAI SDK at https://aihubmix.com/v1, use your AIHubMix API key, and set the model name to jina-clip-v2 — no other code changes needed.

Who created Jina Clip V2?

Jina Clip V2 is developed by Jina AI. AIHubMix aggregates it alongside models from other providers behind one API and one bill.

More models from Jina AI

See all Jina AI models →

Jina Reranker V3.5

by Jina AI

jina-reranker-v3.5 is a 0.6B-parameter multilingual listwise document reranker and a…

$0.05/1M in · $0.05/1M out
131,000 tokens context

Jina Embeddings V5 Text Nano

by Jina AI

A 3.8-billion-parameter general vector model (embedding model) for state-of-the-art…

$0.05/1M in

Jina Embeddings V5 Text Small

by Jina AI

A 3.8-billion-parameter general vector (embedding) model providing state-of-the-art…

$0.05/1M in

Jina Deepsearch V1

by Jina AI

DeepSearch combines search, reading, and reasoning capabilities to pursue the best…

$0.05/1M in · $0.05/1M out
1,000,000 tokens context

Jina Embeddings V4

by Jina AI

A general-purpose vector model with 3.8 billion parameters, used for multimodal and…

$0.05/1M in · $0.05/1M out

Jina Reranker V3

by Jina AI

Multimodal multilingual document reranker, 131K context, 0.6B parameters, for visual…

$0.05/1M in · $0.05/1M out
131,000 tokens context

Use Jina Clip V2 via the AIHubMix unified API — one interface for every major LLM.