productivity benchmark
Job Bench
Job Bench evaluates AI agents on realistic professional tasks that require multi-step planning, research, and production of work artifacts.
Updated Aug 11, 2026
Models2
Model coverage2
MetricScore
EvidenceB
Job Bench Ranking
Higher score ranks better on this benchmark.
| 1 | ME | 54.7% | 100.0% | 2 | C | |
| 2 | MA | 52.9% | 0.0% | 2 | C |
Job Bench Score Distribution
A closer view of the leading scores on this benchmark.
Job Bench Highlights
The leading models and scores on this benchmark.
What is Job Bench?
What Job Bench measures and how its scores work.
Job Bench evaluates AI agents on realistic professional tasks that require multi-step planning, research, and production of work artifacts.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- Job Bench
- Modality
- text
- Primary category
- productivity
- Score direction
- higher
- LLMBoard eligible
- No
- Evaluation key
- job-bench|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about Job Bench.
Which model scores highest on Job Bench?
Muse Spark 1.1 is currently ranked first with 54.7%.
What does Job Bench measure?
Job Bench evaluates AI agents on realistic professional tasks that require multi-step planning, research, and production of work artifacts.
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
2 model results are currently shown.
Does this benchmark affect the overall score?
No. This benchmark is shown for reference but does not contribute to the overall score.