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AI models and tools, measured on one task each

Benchmarks

Samsa's benchmarks measure current AI models and tools on one practical task each, under a published protocol: the same prompt and the same inputs for every participant, a score from published metrics, and the cost and time of every run shown beside the score. The raw numbers of each run are published, and new models are added as they ship.

  1. Benchmark

    Vectorization benchmark: which AI turns an illustration into an editable SVG?

    The Samsa vectorization benchmark measures how well AI models and vectorization tools turn a raster illustration into an SVG a designer can edit. Every participant gets the same prompt and the same two images. Each output is scored on fidelity to the original, on structure (named, complete layers) and on focal detail. Cost and time per image are shown beside the score, never inside it, and every run's raw numbers are published.

    Updated See the results →

# Benchmarks

> Samsa's benchmarks rank current AI models and tools on one task each, with the method, the costs and the raw scores published for every run.

Language: English · Machine index: [https://samsa.ai/llms.txt](/llms.txt)

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Samsa's benchmarks measure current AI models and tools on one practical task each, under a published protocol: the same prompt and the same inputs for every participant, a score from published metrics, and the cost and time of every run shown beside the score. The raw numbers of each run are published, and new models are added as they ship.

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- [Vectorization benchmark: which AI turns an illustration into an editable SVG?](https://samsa.ai/benchmarks/vectorization/) — Updated 2026-10-08. Vectorization benchmark: Claude, GPT, Gemini, Recraft and Quiver AI scored on turning an illustration into a layered, editable SVG, with cost and time.