Text2Opt-Bench - Multi-Objective Transportation: leaderboard
Metric: Pass@1 accuracy (%; bi-objective cost and emissions transportation MILP with fixed charges, 50 instances; solver-verified optimal objective). Source: arxiv.org. Saturation forecast: Estimated already saturated. 9 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Claude Sonnet 4.6 | 98 |
| 2 | Claude Opus 4.6 | 88 |
| 3 | DeepSeek V3.2 | 86 |
| 4 | DeepSeek R1 | 76 |
| 5 | GPT-5 | 70 |
| 6 | O4 Mini | 68 |
| 7 | GPT-5 Nano | 60 |
| 8 | Llama 3.3 70B Instruct | 42 |
| 9 | Qwen 2.5 7B Instruct | 4 |
Interactive version: theaggregate.ai/benchmark?slug=text2opt-bench-multi-objective-transportation · How It Works · Data refreshed daily, snapshot 2026-09-26.