Jina AI Models
Usage
16.1B
494K
14 of 14
- jina-embeddings-v4
- jina-reranker-v3.5
- jina-reranker-m0
- jina-reranker-v3
- jina-embeddings-v3
- jina-clip-v2
- jina-embeddings-v5-text-nano
- jina-deepsearch-v1
- 6 more models
- jina-embeddings-v4
- jina-embeddings-v3
- jina-reranker-v3.5
- jina-reranker-m0
- jina-embeddings-v5-text-nano
- jina-reranker-v3
- jina-embeddings-v5-text-small
- jina-clip-v2
- 6 more models
Which models that traffic went to
- Jina Embeddings V446.2%7.5B
- Jina Reranker V3.527.4%4.4B
- Jina Reranker M015.5%2.5B
- Jina Reranker V33.1%500M
- Jina Embeddings V32.4%390M
- Jina Clip V21.9%307M
- Jina Embeddings V5 Text Nano1.0%162M
- Jina Deepsearch V10.9%150M
- 6 more models1.5%247M
- Jina Embeddings V429.9%148K
- Jina Embeddings V328.6%141K
- Jina Reranker V3.516.3%80.5K
- Jina Reranker M011.2%55.5K
- Jina Embeddings V5 Text Nano7.1%35K
- Jina Reranker V34.4%21.9K
- Jina Embeddings V5 Text Small1.3%6.2K
- Jina Clip V20.7%3.3K
- 6 more models0.4%2.2K
All 14 Jina AI Models
Open in model list| Modalities | |||||
|---|---|---|---|---|---|
| jina-deepsearch-v1 | Takes text, vision, returns text. | 1M | $0.05$0.05/M | 86 tok/s | 0.36 s |
| jina-reranker-v3 | Takes text, vision. Output modality not published. | 131K | $0.05$0.05/M | 53 tok/s | 0.13 s |
| jina-reranker-v3.5 | Takes text. Output modality not published. | 131K | $0.05$0.05/M | 58 tok/s | 0.32 s |
| jina-ocr-v1 | Takes vision, returns text. | 32K | FreeFree/M | 47 tok/s | 0.66 s |
| jina-clip-v2 | Takes text, vision. Output modality not published. | 8K | $0.05$0.05/M | 96 tok/s | 1.50 s |
| jina-colbert-v2 | Takes text. Output modality not published. | 8K | $0.05$0.05/M | 52 tok/s | 0.67 s |
| jina-embeddings-v2-base-code | Takes text. Output modality not published. | 8K | $0.05$0.05/M | — | — |
| jina-embeddings-v3 | Takes text. Output modality not published. | 8K | $0.05$0.05/M | 68 tok/s | 0.15 s |
| jina-embeddings-v4 | Takes text, vision. Output modality not published. | — | $0.05$0.05/M | 59 tok/s | 0.48 s |
| jina-embeddings-v5-text-nano | Takes text, vision. Output modality not published. | — | $0.05$0.05/M | 59 tok/s | 0.46 s |
| jina-embeddings-v5-text-small | Takes text, vision. Output modality not published. | — | $0.05$0.05/M | — | — |
| jina-reader | — | $0.05$0.05/M | — | — | |
| jina-reranker-m0 | Takes text, vision. Output modality not published. | — | $0.05$0.05/M | — | — |
| jina-search | — | $0.05$0.05/M | — | — |
Jina AI on AIHubMix
Which Jina AI model should I start with?
jina-ocr-v1 is free on input — the cheapest entry here that declares a token price, and it carries a 32K context. Move up to jina-deepsearch-v1 when answer quality matters more than cost.
Which of these models reason before answering?
1 of the 14 models here declare a reasoning phase — they work through the problem before producing an answer, which helps on multi-step problems at the cost of extra output tokens. Use the Reasoning filter above the table to see them. The catalog does not record anything further about how they differ, so this page does not sort them into families.
Why are there several entries for the same model?
Because each row is a route you can call, not a model release. Some IDs name an upstream (azure-, alicloud-, cc-), and some differ only in capitalisation, kept so older integrations keep working.
The catalog does not carry a field saying which of those a given row is, so this page does not sort them into buckets it would have to invent. Every row shows that route’s own price, context and speed — compare those directly, and open a model to see the upstreams that serve it.
Do I need a separate Jina AI account?
No. One AIHubMix key covers every model on this page, and switching between them is a change to the model string — billing, rate limits, and logs stay in one place.
Start calling Jina AI in one line
One key, one endpoint, 945 models across 46 model authors.
