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Model family

Contextual AI Reranker

Contextual AI Reranker is a model family from Contextual AI12, with 1 assessed release in this catalog. Licenses and availability are recorded for each release, not for the family; its releases use the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International.

Contextual AI's reranker models score how relevant retrieved documents are to a query and can follow a natural-language instruction about how to rank them, for example to prefer recent sources. Reranker v2, released in August 2025, comes in 1B, 2B, and 6B sizes with quantized versions, supports more than 100 languages and inputs of up to 32K tokens, and is published as open weights for noncommercial use; managed versions are served through Contextual AI's Rerank API.124Fact reviewed Oct 2, 2026

Last reviewedEntry updated Documented release Aug 27, 2025

Releases assessed

Each release is assessed on its own. This family has no family-wide openness label.
Releases in the Contextual AI Reranker family
ReleaseWeightsTier (USASI rubric v0.2)LicenseReleased
Contextual AI Reranker v2 2BWeights: PublicModel-disclosure tier (USASI rubric v0.2): Open-weightCC-BY-NC-SA-4.0Aug 27, 2025

What it is useful for

Re-ranking documents in retrieval-augmented generation and search pipelines, including multilingual collections and cases with conflicting or time-sensitive information.2Fact reviewed Oct 2, 2026

Organization context

Provenance and derivatives

Neither the v2 model cards nor the announcement name the checkpoint the rerankers were trained from. The published model configuration declares the Qwen3ForCausalLM architecture (model type qwen3), the architecture of Alibaba Cloud's Qwen3 models; this catalog does not infer from that alone which weights, if any, the rerankers derive from.2136

U.S. eligibility

Project eligibility rests on documented governing or maintaining entities, not on contributors.

Eligible · basis: U.S. headquarters

The reranker models are developed and published by Contextual AI, Inc., which gives a Mountain View, California postal address in its privacy notice (see the Contextual AI record). The base model the v2 rerankers start from is not named; see provenance. Each release is assessed on its own record.25

Assessed Oct 2, 2026

Sources

  1. 1.
    Contextual AI Reranker v2 (blog post) (external site: contextual.ai)

    Contextual AI · Announcement · published Aug 27, 2025 · accessed Oct 2, 2026 · evidence reviewed Oct 2, 2026

  2. 2.
    ContextualAI/ctxl-rerank-v2-instruct-multilingual-2b model card (external site: huggingface.co)

    Contextual AI · Model card · accessed Oct 2, 2026 · evidence reviewed Oct 2, 2026

  3. 3.
    ctxl-rerank-v2-instruct-multilingual-2b config.json (external site: huggingface.co)

    Contextual AI · Model card · accessed Oct 2, 2026 · evidence reviewed Oct 2, 2026

  4. 4.
    Component APIs | Contextual AI (external site: contextual.ai)

    Contextual AI · Official page · accessed Oct 2, 2026 · evidence reviewed Oct 2, 2026

  5. 5.
    Privacy Policy | Contextual AI (external site: contextual.ai)

    Contextual AI, Inc. · Official page · published Feb 25, 2026 · accessed Oct 2, 2026 · evidence reviewed Oct 2, 2026

  6. 6.
    Qwen on Hugging Face (external site: huggingface.co)

    Qwen (Alibaba Cloud) · Repository · accessed Oct 2, 2026 · evidence reviewed Oct 2, 2026

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APA style

USASI. (2026, October 2). Contextual AI Reranker. United States of America Superintelligence. https://unitedstatesofamericasuperintelligence.com/open/contextual-reranker/

BibTeX

@misc{usasi_contextual_reranker,
  author = {{USASI}},
  title = {Contextual AI Reranker},
  year = {2026},
  month = oct,
  howpublished = {\url{https://unitedstatesofamericasuperintelligence.com/open/contextual-reranker/}},
  note = {United States of America Superintelligence. Last updated 2026-10-02}
}

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