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Claude Haiku 4.5 on VCBench

AnthropicReasoning
Board as of 2026-10-07

Claude Haiku 4.5 scores F0.5 22.6 on VCBench, the venture capital benchmark from the University of Oxford and Vela Research, with 21.2% precision and 30.1% recall on the 4,500-founder private test set. That is rank 20 of 32, 2.1× the F0.5 of tier-1 VCs and 2.6× Y Combinator, at $0.97 per 1,000 founders scored.

Claude Haiku 4.5 on the VCBench leaderboard today
Rank
#20 of 32
F0.5
22.6
Precision
21.2%
Recall
30.1%
Cost / 1k founders
$0.97

Scored on the 4,500-founder private test set, mean over three folds. That is 2.1× the F0.5 of tier-1 VCs. See the full leaderboard.

Compared with the reference rows

EntryPrecisionRecallF0.5Cost / 1k
Claude Haiku 4.521.2%30.1%22.6$0.97
Think-Reason-Learn Ensemble40.6%30.1%37.9$0.87
Tier-1 VCs23.0%5.2%10.7n/a
Y Combinator14.0%6.9%8.6n/a
Random Classifier9.0%9.0%9.0$0

Human rows are normalized to the dataset's 9% success rate, so every entry is compared on the same base rate. Costs use list prices on 2026-09-24.

How it was scored

An LLM reads each founder profile at scoring time and returns a prediction. Claude Haiku 4.5 used about 315 input and 130 output tokens per founder on claude-haiku-4-5, measured from the API usage fields. Cost is tokens times the provider's list price on 2026-09-24 ($1 input and $5 output per million tokens), so it recomputes when prices change. Build costs such as question or policy generation are excluded.

Frequently asked questions

What does Claude Haiku 4.5 score on VCBench?
Claude Haiku 4.5 scores F0.5 22.6 on VCBench, with 21.2% precision and 30.1% recall, rank 20 of 32 as of 2026-10-07.
Does Claude Haiku 4.5 beat human investors at predicting founder success?
Yes. Its F0.5 is 2.1 times that of tier-1 VCs (10.7) and 2.6 times Y Combinator (8.6), after both are normalized to the dataset's 9% base rate.
How much does Claude Haiku 4.5 cost per 1,000 founders?
About $0.97 per 1,000 founders at list prices on 2026-09-24. An LLM reads each founder profile at scoring time and returns a prediction. Claude Haiku 4.5 used about 315 input and 130 output tokens per founder on claude-haiku-4-5, measured from the API usage fields. Cost is tokens times the provider's list price on 2026-09-24 ($1 input and $5 output per million tokens), so it recomputes when prices change. Build costs such as question or policy generation are excluded.

About VCBench

VCBench is the first benchmark for venture capital. It tests how well AI models, AI-native venture capital methods and human investors predict which startup founders will succeed, on 9,000 anonymized founder profiles. It was built by the University of Oxford and Vela Research, the research arm of Vela Partners, an AI-native quant venture capital firm in San Francisco. Many methods on the leaderboard are open source in Think-Reason-Learn.