JA
Jina AI
Language model ·Jul 2026

Jina Reranker v3.5

Language Open Source
600M
Parameters

About Jina Reranker v3.5

Jina Reranker v3.5 is an AI model developed by Jina AI, in the language category, released in 2026, made available as an open-source model with 0.6B params. Jina AI's jina-reranker-v3.5 is a domain-ready listwise document reranker. 0.6B parameters, 63.20 on BEIR, 74.11 on MIRACL, 70.95 on RTEB. Up to 56% faster than v3 with better domain retrieval for legal, medical, and structured data.

On this page you'll find Jina Reranker v3.5's full specifications. Review provider pricing and benchmark scores below, or compare Jina Reranker v3.5 head-to-head with other language models.

Run Jina Reranker v3.5 locally — what to buy

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Sized to what Jina Reranker v3.5 actually needs (~8k context at Q4), not to the biggest GPU: Good = cheapest that runs it, Better = best value, Best = most headroom. Speed is a hardware estimate; anything past ~120 tok/s is shown as instant.

Software support

✓ measured · · compatible · — not supported. Informational only — speed is hardware-based.

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Frequently asked questions

What is Jina Reranker v3.5?

Jina AI's jina-reranker-v3.5 is a domain-ready listwise document reranker. 0.6B parameters, 63.20 on BEIR, 74.11 on MIRACL, 70.95 on RTEB. Up to 56% faster than v3 with better domain retrieval for legal, medical, and structured data. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.

Who created Jina Reranker v3.5?

Jina Reranker v3.5 was developed by Jina AI and released in 2026.

Is Jina Reranker v3.5 open source or proprietary?

Jina Reranker v3.5 is released as open source — its weights are publicly available to download, run locally and fine-tune.

How much does Jina Reranker v3.5 cost?

Pricing for Jina Reranker v3.5 depends on the provider. See the providers table on this page for the latest API rates.

How does Jina Reranker v3.5 perform on benchmarks?

Benchmark scores for Jina Reranker v3.5 are listed on this page as they are published. You can compare it head-to-head with other models on the GenAIList compare tool.

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