Text2Opt-Bench: leaderboard
Metric: Pass@1 accuracy (%; mean over the eleven template categories, 50 small-tier instances each, 550 problems; solver-verified optimal objective). Source: arxiv.org. Saturation forecast: Around December 2026. 9 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Claude Sonnet 4.6 | 87.6 |
| 2 | Claude Opus 4.6 | 86.7 |
| 3 | GPT-5 | 86.2 |
| 4 | O4 Mini | 80.4 |
| 5 | DeepSeek R1 | 72.9 |
| 6 | DeepSeek V3.2 | 72 |
| 7 | GPT-5 Nano | 59.1 |
| 8 | Llama 3.3 70B Instruct | 35.1 |
| 9 | Qwen 2.5 7B Instruct | 4.5 |
Interactive version: theaggregate.ai/benchmark?slug=text2opt-bench · How It Works · Data refreshed daily, snapshot 2026-09-26.