Clef vs Strands Decider: hosted or self-hosted?

Clef on ClefBench is a hosted browser workflow. Strands Decider is an alternative for teams prepared to operate their own inference service. We have not deployed or benchmarked Strands here, and it is not a selectable playground model.

Pin the version before comparing

This guide describes StrandsAgents/strands-decider-2B-hobson-v19. Its model card describes a LoRA adapter and decision readout head on Qwen/Qwen3.5-2B-Base; the code and checkpoint are labeled Apache-2.0. Initial use also downloads base weights, whose distribution terms should be checked separately.

The official repository now uses v21 as its reference model and continues to publish v19. v19 is our fixed comparison target, not a claim about the latest release. Do not mix scores from different checkpoints or evaluation windows.

What you operate

Dimension	Clef on ClefBench	Self-hosted Strands
Starting point	Browser playground	Install runtime and download pinned model weights
Inference location	OpenRouter and the selected model provider	Environment you provision and configure
Input to this website	Text or JSON	Defined by the chosen Strands runtime/version
Question types	Yes/no, choice, ordered score	Same three families in the documented interface
Access and availability	Managed by ClefBench and its upstream services	Authentication, capacity and availability are your responsibility
Cost basis	Free trial or site subscription	Equipment/cloud capacity, storage and operational work
Independent evidence here	Clef measurements	No Strands measurements

Deployment checklist from the official project

Pin the package and checkpoint. The current source requires Python 3.10 or later and dependencies including PyTorch, Transformers and PEFT. Development documentation may describe extras not yet present in the published package.
Choose a documented runtime path. The project describes CUDA on Linux/WSL2, MPS on Apple silicon and CPU execution; an MLX path is explicitly selected. Hardware suitability depends on your selected version and workload.
Measure resource use yourself. We have not verified a universal minimum RAM or VRAM requirement. Training hardware examples are not minimum inference requirements.
Protect a network deployment. The documented local server uses /v1/systemone, binds to 127.0.0.1 by default and has no built-in authentication. Review access control and transport security before exposing it beyond your machine.
Test failures as well as answers. Measure startup/download time, peak memory, concurrency, request limits and how your application handles an unavailable service.

Use the official inference instructions for commands matching your selected release. This is a preparation checklist, not a claim that we tested those deployments.

Compare total operating cost

A downloadable model is not a zero-cost API. Estimate compute rental or equipment allocation, idle capacity, storage and time maintaining the service. Divide that total by the number of successful decisions at your expected utilization; include the work of reviewing wrong answers.

The hosted API calculator estimates provider token charges only. It cannot price your Strands deployment without hardware, utilization and workload assumptions. A ClefBench subscription is a separate online service fee.

Self-hosting is worth evaluating when control over the inference environment addresses a specific requirement and you can support the runtime. Hosted Clef is a useful starting point when you want to test decision quality before operating infrastructure. Neither choice establishes better accuracy without a shared evaluation.

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Sources checked October 10, 2026: Cloudflare Clef, Strands repository, v19 model card, package requirements.

Pin the version before comparing

What you operate

Dimension	Clef on ClefBench	Self-hosted Strands
Starting point	Browser playground	Install runtime and download pinned model weights
Inference location	OpenRouter and the selected model provider	Environment you provision and configure
Input to this website	Text or JSON	Defined by the chosen Strands runtime/version
Question types	Yes/no, choice, ordered score	Same three families in the documented interface
Access and availability	Managed by ClefBench and its upstream services	Authentication, capacity and availability are your responsibility
Cost basis	Free trial or site subscription	Equipment/cloud capacity, storage and operational work
Independent evidence here	Clef measurements	No Strands measurements

Deployment checklist from the official project

Pin the package and checkpoint. The current source requires Python 3.10 or later and dependencies including PyTorch, Transformers and PEFT. Development documentation may describe extras not yet present in the published package.

Choose a documented runtime path. The project describes CUDA on Linux/WSL2, MPS on Apple silicon and CPU execution; an MLX path is explicitly selected. Hardware suitability depends on your selected version and workload.

Measure resource use yourself. We have not verified a universal minimum RAM or VRAM requirement. Training hardware examples are not minimum inference requirements.

Protect a network deployment. The documented local server uses /v1/systemone, binds to 127.0.0.1 by default and has no built-in authentication. Review access control and transport security before exposing it beyond your machine.

Test failures as well as answers. Measure startup/download time, peak memory, concurrency, request limits and how your application handles an unavailable service.

Use the official inference instructions for commands matching your selected release. This is a preparation checklist, not a claim that we tested those deployments.

Compare total operating cost