Model comparison
jina-embeddings-v2-small-en vs GPT-5
Capability radar, value bars, and side-by-side posture.
jina-embeddings-v2-small-en
Not scored
value score
GPT-5
94
value score
jina-embeddings-v2-small-en ctx
—
GPT-5 ctx
400K
Capability radar
Value · context · multimodal · openness · speed posture
Value head-to-head
- GPT-594
Attribute tape
| Field | jina-embeddings-v2-small-en | GPT-5 |
|---|---|---|
| Developer | jinaai | OpenAI |
| Context | — | 400K |
| Modalities | Text, Code, Image, Audio | |
| Openness | — | Proprietary Model |
| Speed | — | Fast |
| Price | — | Mid-High |
| Value score | — | 94 |
| Summary | A compact English-only text embedding model from Jina AI that encodes sentences and documents up to 8,192 tokens into 512-dimensional dense vectors for semantic search, RAG, and similarity matching. Built on a JinaBERT backbone with symmetric bidirectional ALiBi positional encoding, it delivers strong long-context retrieval performance at only 33M parameters. | OpenAI frontier multimodal model. |