JobBench
An occupational agent benchmark for professional workflows that workers say they most want delegated to AI.
Data verified 31 confirmed releases in the last 30 daysSee provider release alertsBenchmark score on JobBench — September 10, 2026
We mirror the published score view for JobBench. Muse Spark 1.3 leads the public snapshot at 64.9%, followed by Hy4 preview (61.7%) and Qwen3.8-Flash-Next (55.7%). We do not use these results to rank models overall.
Muse Spark 1.3
Meta
Hy4 preview
Tencent
Qwen3.8-Flash-Next
Alibaba
27 modelsAgenticCurrentDisplay onlyUpdated September 10, 2026
Benchmark score table (27 models)
ScoreThe published JobBench snapshot places Muse Spark 1.3 first at 64.9%. The third row is 9.2 points behind. The broader top-10 range is 28.0 points, so the table still separates the published systems.
27 models have been evaluated on JobBench. The benchmark falls in the Agentic category. This category carries a 22% weight in BenchLM.ai's overall scoring system. JobBench is currently displayed for reference but excluded from the scoring formula, so it does not directly affect overall rankings.
About JobBench
Year
2026
Tasks
130 tasks across 35 occupations
Format
Agentic workplace deliverables
Difficulty
Professional multi-source workflows
JobBench evaluates agents on source-grounded workplace tasks across 35 occupations, using heterogeneous reference files and fact-anchored chained rubrics. BenchLM tracks the main-set score as a display-only professional-agent benchmark.
BenchLM freshness & provenance
Version
JobBench 2026
Refresh cadence
Quarterly
Staleness state
Current
Question availability
Public benchmark set
BenchLM uses freshness metadata to decide whether a benchmark should still be treated as a strong differentiator, a benchmark to watch, or a display-only reference. For the full scoring policy, see the BenchLM methodology page.
FAQ
What does JobBench measure?
An occupational agent benchmark for professional workflows that workers say they most want delegated to AI.
Which model scores highest on JobBench?
Muse Spark 1.3 by Meta currently leads with a score of 64.9% on JobBench.
How many models are evaluated on JobBench?
27 AI models have been evaluated on JobBench on BenchLM.
Know when it’s worth switching models
The model to choose, the cheaper alternative, and the release we would wait on.
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