RerankersVisual document search

Jina Reranker

Strong multilingual rerankers; m0 also ranks pages as images (scans, slides). The latest versions are open for non-commercial use only.

Developer
Jina AI, Germany
First release
Apr 2024
Latest release
Jul 2026
Sizes
33M – 2.4B
License
Commercial use with conditionsv1 — Apache 2.0; v2, v3, v3.5 and m0 — CC-BY-NC 4.0 (for business use — via the API or an agreement with Jina)
Russian
Not stated
Ready-made builds
GGUF, MLX (Apple)
Running
On your own serverAlso runs without a GPU
Industries
Software development, Customer support, Documents and accounting, Retail and marketplaces
Deploy on your server Hugging Face

What it does

  • Refining search results before a chatbot answers
  • Sorting retrieved PDF pages and slides
  • Catalog and knowledge base search

Where it is used

Customer supportDocument managementE-commerce

Hardware requirements

LaptopLaptop or regular PC, up to 8 GB of VRAM — smaller versions
fits
1 GPUOne GPU with 16–80 GB — mid-size versions
no versions
ClusterServer with several GPUs — flagship versions
no versions

Versions

  1. v3.5
  2. v3 (0.6B)
  3. m0 (текст и картинки)
  4. v2-base-multilingual
  5. v1 turbo и tiny (англ.)

How to run it

On your own serverWeights are downloaded from Hugging Face and served with vLLM (load and API) or llama.cpp (modest hardware). The model then runs in a closed network with no per-request fees.Hugging Face
How much hardware you needCalculate the VRAM for the model size, context length and number of concurrent requests.Open the hardware calculator

I can set this up end to end: pick the model size, deploy it on your server and connect it to your systems. Quantization compresses a model so it takes less video memory and runs on more modest hardware. Answers change slightly, so quality is checked on your own examples.

Frequently asked questions

Can Jina Reranker be used in a commercial project?

With conditions. License: v1 — Apache 2.0; v2, v3, v3.5 and m0 — CC-BY-NC 4.0 (for business use — via the API or an agreement with Jina). Restrictions vary — region, company revenue, attribution requirements. Have a lawyer check the terms before a commercial launch.

What hardware does Jina Reranker need?

At minimum: Laptop or regular PC, up to 8 GB of VRAM — smaller versions. Some versions also run on an ordinary CPU, without a GPU. You can calculate the exact VRAM for your model size and context in the hardware calculator.

Does Jina Reranker support Russian?

The model card does not list languages, so Russian support cannot be promised — it has to be tested on your own examples.

Where can I download Jina Reranker and what does it cost?

The Jina Reranker weights are open and free to download. You only pay for the hardware it runs on and for the setup. Source links are at the bottom of this page.

How I deploy it for clients

  1. SelectionI pick the model size for your task and hardware and test it on your examples.
  2. DeploymentI deploy it on your server or in a closed network and provide an API.
  3. Fine-tuningI fine-tune it on your data (LoRA) or connect a knowledge base — whichever is cheaper for the task.
  4. IntegrationI connect it to your CRM, ERP, bot, website or team chat and set up monitoring.

Similar models

RerankersBGE RerankerBAAI (Beijing Academy of Artificial Intelligence) · ChinaCommercial use allowed

Rerankers: they take passages found by search and reorder them by how well they actually match the question. v2-m3 is multilingual and lightweight, often paired with bge-m3.

DetailsSearch and RAGQwen3 Embedding / RerankerAlibaba (Qwen) · ChinaCommercial use allowed

Embeddings and rerankers based on Qwen3, among the best open ones for multilingual search, including Russian. VL versions search images, screenshots and video.

DetailsSearch and RAGJina EmbeddingsJina AI · GermanyCommercial use with conditions

Strong multilingual embeddings with long context; v5-omni understands text, images and audio. Recent versions are open for non-commercial use only.

Details

Source: huggingface.co/jinaai/jina-reranker-v3.5. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.