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FinSearchComp-T3 benchmark
AI model leaderboard for the FinSearchComp-T3 benchmark. Compare how large language models score on FinSearchComp-T3, see the full ranking, and understand what this AI benchmark measures. Kimi K2 Thinking currently leads with 47.4. Financial-domain agentic search benchmark — Tier-3 difficulty subset on multi-source financial QA.
Leaderboard
| # | Model | Organization | Score | Variant | Source |
|---|---|---|---|---|---|
| #1 | Kimi K2 Thinking | Moonshot | 47.4 | thinking-w-tools | official ↗ |
| #2 | Kimi K2 | Moonshot | 10.4 | k2-0905-w-tools-cited-k2-thinking | official ↗ |
Frequently asked questions about FinSearchComp-T3
What is the FinSearchComp-T3 benchmark?
Financial-domain agentic search benchmark — Tier-3 difficulty subset on multi-source financial QA.
How is the FinSearchComp-T3 benchmark scored?
FinSearchComp-T3 is scored using the accuracy metric, where a higher score is better. GenAIList aggregates reported scores from model providers and papers into a single ranked leaderboard.
Which AI model scores highest on FinSearchComp-T3?
As of the latest reported scores on GenAIList, Kimi K2 Thinking achieves the highest result on FinSearchComp-T3 with a score of 47.4.
Is a higher FinSearchComp-T3 score better?
Yes. On FinSearchComp-T3 a higher score indicates better performance, so models near the top of the leaderboard are the strongest.