MolecularIQ - Counting: leaderboard
Metric: Mean Accuracy (%). Source: arxiv.org. 38 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-OSS-120B (High) | 46.8 |
| 2 | GPT-OSS-20B (High) | 39.1 |
| 3 | Qwen 3 Next 80B A3B (Thinking) | 30.7 |
| 4 | GPT-OSS-120B (Medium) | 29.1 |
| 5 | GPT-OSS-20B (Medium) | 27.9 |
| 6 | Seed-OSS-36B-Instruct | 26.8 |
| 7 | Qwen 3 30B A3B 2507 (Thinking) | 23 |
| 8 | GPT-OSS-120B (Low) | 17.1 |
| 9 | Qwen 3 32B | 17 |
| 10 | GLM-4.6 FP8 | 15.9 |
| 11 | Qwen 3 14B | 14.4 |
| 12 | GPT-OSS-20B (Low) | 13 |
| 13 | Qwen 3 8B | 12.5 |
| 14 | NVIDIA Nemotron Nano 9B V2 | 12.2 |
| 15 | Gemma 3 27B (IT) | 9.9 |
Interactive version: theaggregate.ai/benchmark?slug=moleculariq-counting · How It Works · Data refreshed daily, snapshot 2026-09-19.