Model comparison
jina-embeddings-v2-small-en vs o3
Capability radar, value bars, and side-by-side posture.
jina-embeddings-v2-small-en
Not scored
value score
o3
93
value score
jina-embeddings-v2-small-en ctx
—
o3 ctx
200K
Capability radar
Value · context · multimodal · openness · speed posture
Value head-to-head
- o393
Attribute tape
| Field | jina-embeddings-v2-small-en | o3 |
|---|---|---|
| Developer | jinaai | OpenAI |
| Context | — | 200K |
| Modalities | Text, Code | |
| Openness | — | Proprietary Model |
| Speed | — | — |
| Price | — | $10/1M in · $40/1M out |
| Value score | — | 93 |
| 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 reasoning model focused on hard problems. |