SupChain-Bench (QA): leaderboard
Metric: Accuracy (%) on SupChain-Bench's 435 supply-chain knowledge questions (141 multiple-answer, 147 single-choice and 147 true/false items drafted from anonymized industry documents by a three-model pipeline and verified by domain experts); one prompt template, answer extracted by regular expression; no external context, testing intrinsic domain knowledge; higher is better. Source: arxiv.org. Saturation forecast: Not forecast. 19 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | GPT-4.1 | 68.97 | #240 |
| 2 | GPT-4.1 Mini | 68.05 | #346 |
| 3 | Claude 3.5 Sonnet | 67.81 | #337 |
| 4 | DeepSeek V3 | 67.75 | #312 |
| 5 | GPT-5 Mini | 66.9 | #176 |
| 6 | Claude Opus 4 | 66.7 | #155 |
| 7 | Gemini 2.5 Pro | 66.67 | #145 |
| 8 | Claude Sonnet 4 | 66.43 | #194 |
| 9 | GPT-5 | 66.21 | #91 |
| 10 | O3 Mini | 65.06 | #266 |
| 11 | Kimi K2 | 64.83 | #236 |
| 12 | DeepSeek R1 | 63.68 | #245 |
| 13 | Claude 3.7 Sonnet | 62.3 | #241 |
| 14 | GPT-4o | 62.07 | #333 |
| 15 | GPT-5 Nano | 61.61 | #415 |
No result here: #3 Claude Opus 5.5, #5 GPT-6 Astra, #8 Claude Fable 5.1.
Interactive version: theaggregate.ai/benchmark?slug=supchain-bench-qa · How It Works · Data refreshed daily, snapshot 2026-10-11.