JOR-Bench - MAMO Complex LP: leaderboard
Metric: Accuracy (%; MAMO Complex LP linear programming problems, Japanese translation with human post-editing; the model writes a standalone Python program in a fenced block, run with OR-Tools available (300-second and 32 GB limits), correct when the printed value matches the reference within 1e-6; higher is better). Source: arxiv.org. Saturation forecast: Estimated already saturated. 7 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-OSS-120B | 73.5 |
| 2 | Qwen 3 32B | 50 |
| 3 | Qwen3-Swallow-32B-RL-v0.2 | 37.5 |
| 4 | Qwen 3 8B | 34.5 |
| 5 | Qwen3-Swallow-8B-RL-v0.2 | 10.5 |
| 6 | NVIDIA-Nemotron-Nano-9B-v2-Japanese | 1 |
Interactive version: theaggregate.ai/benchmark?slug=jor-bench-mamo-complex-lp · How It Works · Data refreshed daily, snapshot 2026-09-29.