finance benchmark
YC-Bench evaluates agents on long-horizon, open-ended business and investment decision-making. The reported metric is the final assets (fund value, in US dollars) accumulated by the agent over the course of the simulation.
Updated Aug 17, 2026
Higher score ranks better on this benchmark.
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelMI | Score2,100,000 points | Percentile100.0% | Participants1 | EvidenceC | Evaluated |
The leading models and 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.
Ranking basisThis yc-bench AI model leaderboard uses descending score in the benchmark's original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
Selection summary
MiniMax M3 currently leads YC-Bench with 2,100,000 points. 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.
What YC-Bench measures and how its scores work.
YC-Bench evaluates agents on long-horizon, open-ended business and investment decision-making. The reported metric is the final assets (fund value, in US dollars) accumulated by the agent over the course of the simulation.
Scores are shown in points. This benchmark is not independently verified and has an evidence level of B.
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
Common questions about YC-Bench.
MiniMax M3 is currently ranked first with 2,100,000 points.
YC-Bench evaluates agents on long-horizon, open-ended business and investment decision-making. The reported metric is the final assets (fund value, in US dollars) accumulated by the agent over the course of the simulation.
Yes. Higher values rank better for this benchmark.
1 model results are currently shown.
No. This benchmark is shown for reference but does not contribute to the overall score.