knowledge benchmark
ProfBench evaluates models on professional-domain reasoning and knowledge-work tasks, including search-augmented question answering across expert fields.
Updated Sep 5, 2026
Higher score ranks better on this benchmark.
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelNV | Score56.00% | Percentile100.00% | Participants4 | EvidenceC | Evaluated |
| Rank02 | ModelIB | Score42.90% | Percentile66.67% | Participants4 | EvidenceC | Evaluated |
| Rank03 | ModelIB | Score41.20% | Percentile33.33% | Participants4 | EvidenceC | Evaluated |
| Rank04 | ModelIB | Score32.10% | Percentile0.00% | Participants4 | EvidenceC | Evaluated |
The leading models and scores on this benchmark.
A closer view of the leading scores on this benchmark.
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
What ProfBench measures and how its scores work.
ProfBench is a knowledge benchmark for evaluating models on professional-domain reasoning and knowledge-work tasks.
It measures performance using the Score metric, reported as a ratio, on professional-domain reasoning, knowledge-work tasks, and search-augmented question answering across expert fields.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
LLM Stats. Benchmark scores retain their original unit. Overall score eligibility is shown separately.
Common questions about ProfBench.
Nemotron 3 Ultra (550B A55B) is currently ranked first with 56.00%.
The current leaders are Nemotron 3 Ultra (550B A55B) (56.00%), IBM Granite 4.2 30B (42.90%), and IBM Granite 4.2 8B (41.20%).
Nemotron 3 Ultra (550B A55B) has the lowest matched official input price at $0.50 input / $2.5 output per 1M tokens.
No matched runtime record is currently available.
No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.
It measures performance using the Score metric, reported as a ratio, on professional-domain reasoning, knowledge-work tasks, and search-augmented question answering across expert fields.
Yes. Higher values rank better for this benchmark.
4 model results are currently shown.
No. This benchmark is shown for reference but does not contribute to the overall score.
Ranking basisThis profbench AI model leaderboard uses descending score in the benchmark original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
Selection summary
Nemotron 3 Ultra (550B A55B) currently leads ProfBench with 56.00%. It is the top model on this specific benchmark, while the best LLM for the broader task should also be checked against other benchmarks, price, and runtime.
Use this leaderboard with the supporting benchmark results and coverage details above. A leaderboard position summarizes the selected ranking signal; it does not replace workload-specific testing.