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BenchLM

Data as of October 1, 2026 · How the score is built

CurrentOpen WeightNon-Reasoning

Released Oct 1, 202664K contextCloudflare model card

Clef

Decision readingClef is tracked, but not publicly ranked yet. The profile exposes 0 sourced benchmark rows and leaves unsupported fields blank until a published record exists.

Released Oct 1, 2026 — see all recent releases

Lineage

The sequence follows explicit supersedes links. Each score is estimated for that model; a relative can inform a sparse estimate but never sets a floor, so a newer release can score below an earlier one. Scores and prices remain blank when the corresponding public row or first-party rate is unavailable.

  1. Oct 1, 2026 · you are here

    Clef

    Not publicly ranked · Price not listed

Base entry

Radar

Clef release history

Full release history

Radar confirmed these at the source. Use Clef in your work? Explore Radar to follow supported changes and choose your alerts.

Radar

Spec sheet

Each documented value carries its source. Missing fields stay visible as not sourced or not published, rather than disappearing from the page.

API model ID
@cf/cloudflare/clefCloudflare Workers AI model documentation
Maximum output
Not sourced yet
Knowledge cutoff
Not sourced yet
Input modalities
text, image, videoCloudflare model card
Output modalities
structuredCloudflare model card
Parameters
Not sourced yet
Availability
Workers AI · Self-hosted Apache-2.0 weightsCloudflare Workers AI model documentation
Cloud regions
Not tracked yet
API capabilities
Tool calling, structured outputs, and batch support are not tracked yet
Prompt caching
Not documented in the pricing recordCloudflare Workers AI pricing
Self-host
Open weights available; hardware estimate not sourced
Rate limits
Not tracked yet

How to read this profile

The visual layer above carries the decisions. These notes preserve the model, ranking, coverage, and family context behind the numbers.

We track Clef, but no weighted text-model benchmark result is published on the site yet. This page shows the metadata and separate protocol evidence we can verify now; a BenchLM score will appear only if compatible public evaluations land.

Clef is a open weight model with a 64K context window. No explicit reasoning mode is documented in this profile.

Released October 1, 2026 on Workers AI with Apache-2.0 weights. The hosted model has a 65,536-token window. The self-hosted example defaults to 16,384 input tokens; it is not the hosted limit.

Clef is an open-weight 27B decision model derived from Qwen/Qwen3.8-27B. It returns probabilities over typed schema choices rather than free-form text. Cloudflare comparison results remain display only and do not enter weighted rankings.

The profile has no source-displayable benchmark row yet.

Last updated October 1, 2026. Runtime fields remain blank until a sourced snapshot exists.

Deployment options

Self-host and provider-specific paths stay separate from benchmark evidence so operating constraints are visible before a score becomes the whole decision.

Published weights are available, but BenchLM does not yet have a sourced parameter and VRAM profile for this exact model. Hardware cost estimates stay unavailable until that sizing record is complete.

Estimate VRAM from known parameters

Questions

How does Clef perform overall in AI benchmarks?

Clef does not have any source-displayable benchmark rows yet, so this profile does not assign a public score or rank. Documented specifications remain visible, while score-led charts and claims stay unavailable until a published evaluation can be attached to the exact model.

Is Clef open source?

Clef is an open-weight model from Cloudflare. Its weights can be downloaded for local or hosted deployment, subject to the published license. Open weight does not automatically mean open source: training data and training code may remain private, and commercial restrictions can still apply.

Does Clef have full benchmark coverage on BenchLM?

No. Clef currently has 0 source-displayable rows across 645 tracked benchmark slots. The profile exposes published, non-generated evidence and leaves missing categories blank until an exact evaluation is available. Coverage describes how much was measured; it is not a penalty added to an individual benchmark result.

What is the context window size of Clef?

Clef has a documented context window of 64K. That figure is the maximum combined prompt and retained-conversation space reported for this exact model; it is not the maximum output length. The profile keeps output limits separate because providers often publish those limits independently.

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