YC-Bench
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.
MiniMax M3 from MiniMax currently leads the YC-Bench leaderboard with a score of 2100000.000 across 1 evaluated AI models.
What YC-Bench measures
YC-Bench is a text benchmark that evaluates large language models on finance and agents tasks. LLM Stats tracks 1 model on this benchmark, with a maximum possible score of 10000000. Current average across reported models is 2100000.0, with the leader reaching 2100000.0.
Compare leaders on the best AI for finance and best AI for agents leaderboards.
MiniMax M3 leads with 2100000.000.
Progress Over Time
Interactive timeline showing model performance evolution on YC-Bench
YC-Bench Leaderboard
| Context | Cost | License | ||||
|---|---|---|---|---|---|---|
| 1 |  MiniMax M3New MiniMax | — | 1.0M | $0.60 / $2.40 |
FAQ
Common questions about YC-Bench.
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