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ClawBench

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Agents complete everyday tasks on live production websites. The paper evaluates 153 tasks with trajectory judging against human references; the current repository lists a changed 152-task V1 corpus. V2 uses request interception and separate lenient and strict judge rubrics. Corpus revision, harness and judge change the measurement, and live websites can change between runs.

Released
2026-04-09
Evaluates
agent
Openness
unknown
Importer
Model reports

ClawBench paper

ClawBench results and reported scores

Reported benchmark scores · Model reports

Reported scores: 8

ModelOrganizationReported valueReportedEvidence
Claude Haiku 4.5Anthropic18.32026-07-20evidence
Claude Sonnet 4.6Anthropic33.32026-07-20evidence
Gemini 3 FlashGoogle19.02026-07-20evidence
Gemini 3.1 Flash-LiteGoogle3.32026-07-20evidence
Gemini 3.1 ProGoogle9.82026-07-20evidence
GLM-5Z.ai24.22026-07-20evidence
GPT-5.4OpenAI6.52026-07-20evidence
Qwen3.5-397B-A17BQwen26.12026-07-20evidence

Scores are partitioned by the source that reported them and are never merged into a single cross-source ranking, because the sources measure different things and say so.

Which sources cite ClawBench?

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