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finance benchmark

YC-Bench Leaderboard

YC-Bench evaluates agents on long-horizon, open-ended business and investment decision-making.

Updated Oct 23, 2026

Models1
Model coverage1
MetricScore
EvidenceB

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YC-Bench Ranking

Higher score ranks better on this benchmark.

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Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelMIMiniMax M3MiniMaxScore2,100,000.00 pointsPercentile100.00%Participants1EvidenceCEvaluatedOct 22, 2026

YC-Bench Highlights

The leading models and scores on this benchmark.

Rank #1MiniMax M32,100,000.00 points

The Top AI Models for YC-Bench

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 original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.

  1. 01
    MI
    MiniMax
    Score
    2,100,000.00 points
    Price
    $0.30 input / $1.2 output per 1M tokens
    Speed
    Up to 45.04 tok/s via MiniMax

    Strengths

    • Ranks #1 of 1 compared models
    • 100th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures YC-Bench, not total model capability

Selection summary

Best AI Models for YC-Bench

MiniMax M3 currently leads YC-Bench with 2,100,000.00 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 is YC-Bench?

What YC-Bench measures and how its scores work.

YC-Bench is a finance benchmark for evaluating agents on long-horizon, open-ended business and investment decision-making.

It reports final assets, defined as the fund value in US dollars accumulated by the agent over the course of the simulation; the metric is Score, measured in points.

Scores are shown in points. This benchmark is not independently verified and has an evidence level of B.

Family
YC-Bench
Modality
text
Primary category
finance
Score direction
higher
LLMBoard eligible
No
Evaluation key
overall

LLM Stats. Benchmark scores retain their original unit. Overall score eligibility is shown separately.

FAQ

Common questions about YC-Bench.

Which model scores highest on YC-Bench?

MiniMax M3 is currently ranked first with 2,100,000.00 points.

What are the top three models on YC-Bench?

The current leaders are MiniMax M3 (2,100,000.00 points).

Which YC-Bench model has the lowest official input price?

MiniMax M3 has the lowest matched official input price at $0.30 input / $1.2 output per 1M tokens.

Which models are fastest among YC-Bench results?

The fastest matched records are MiniMax M3 (45.04 tok/s via MiniMax).

Does the highest score result prove overall model quality?

No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.

What does YC-Bench measure?

It reports final assets, defined as the fund value in US dollars accumulated by the agent over the course of the simulation; the metric is Score, measured in points.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

1 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.

MiniMax M3
Benchmark rank #1MiniMax M32,100,000.00 points · $0.30 input / $1.2 output per 1M tokens