ScienceQA
Rank #42 of 51 · 6 models scored · top score 84.67
unknown
Strongest on discrimination, weakest on contamination resistance. Caveat: scores come from mixed harnesses, so a head-to-head is not apples-to-apples.
Weighted composite. Each signal is computed from the source-backed leaderboard below.
Does it still separate models?
How far from ceiling / clustered at the top?
Public vs held-out; training-leak risk.
Apples-to-apples, or mixed / vendor-optimized?
How old is the benchmark?
| # | Model | Score | Evidence | Measured |
|---|---|---|---|---|
| 1 | GPT-4o (May 2024) | 84.67 | self-reported· optimized | 2024-05-13 |
| 2 | Claude 3 Haiku | 62.67 | self-reported· optimized | 2024-03-04 |
| 3 | Llama 2-13B | 41.04 | unverified· optimized | 2023-07-18 |
| 4 | LLaMA-13B | 24.44 | unverified· optimized | 2023-02-27 |
| 5 | Llama 2-7B | 24.11 | unverified· optimized | 2023-07-18 |
| 6 | LLaMA-7B | 14.92 | unverified· optimized | 2023-02-24 |