Cybench
Rank #35 of 51 · 19 models scored · top score 93
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 | Claude Opus 4.6 | 93 | self-reported· optimized | 2026-02-05 |
| 2 | Claude Opus 4.5 | 82 | self-reported· optimized | 2025-11-24 |
| 3 | Claude Sonnet 4.5 | 60 | self-reported· optimized | 2025-09-29 |
| 4 | Grok 4 | 43 | self-reported· optimized | 2025-07-09 |
| 5 | Claude Opus 4.1 | 42 | unverified· optimized | 2025-08-05 |
| 6 | Claude Opus 4 | 38 | unverified· optimized | 2025-05-22 |
| 7 | Claude Sonnet 4 | 35 | unverified· optimized | 2025-05-22 |
| 8 | Grok 4 Fast | 30 | self-reported· optimized | 2025-09-19 |
| 9 | o3-mini | 22.5 | unverified· optimized | 2025-01-31 |
| 10 | Claude 3.7 Sonnet | 20 | unverified· optimized | 2025-02-24 |
| 11 | Claude 3.5 Sonnet | 17.5 | unverified· optimized | 2024-06-20 |
| 12 | GPT-4.5 | 17.5 | unverified· optimized | 2025-02-27 |
| 13 | GPT-4o (Nov 2024) | 12.5 | unverified· optimized | 2024-05-13 |
| 14 | Claude 3 Opus | 10 | unverified· optimized | 2024-03-04 |
| 15 | o1-mini | 10 | unverified· optimized | 2024-09-12 |
| 16 | o1-preview | 10 | unverified· optimized | 2024-09-12 |
| 17 | Llama 3.1-405B | 7.5 | unverified· optimized | 2024-07-23 |
| 18 | Mixtral 8x22B | 7.5 | unverified· optimized | 2024-04-17 |
| 19 | Llama 3-70B | 5 | unverified· optimized | 2024-04-18 |