Text2Opt-Bench - Power Transmission: leaderboard

Power transmission MIQPs whose quadratic line losses must be derived from Ohm's law, from Text2Opt-Bench (Gao, Ge, Berenbeim, Bastian and Sala, 2026): the model reads the problem and its instance data in natural language and writes Gurobi code, and an answer counts when the solved objective matches the verified optimum. Pass@1 accuracy in percent on 50 problems; higher is better.

Metric: Pass@1 accuracy (%; MIQP with quadratic power loss derived from Ohm's law, 50 instances; solver-verified optimal objective). Source: arxiv.org. Saturation forecast: Estimated already saturated. 9 models tracked.

Top models

#ModelScoreOverall rank
1GPT-598#163
2Claude Opus 4.688#100
3O4 Mini70#354
4Claude Sonnet 4.664#158
5DeepSeek R164#467
6DeepSeek V3.254#403
7GPT-5 Nano50#888
8Llama 3.3 70B Instruct16#1353
9Qwen 2.5 7B Instruct0#2583

No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.

Interactive version: theaggregate.ai/benchmark?slug=text2opt-bench-power-transmission · How It Works · Data refreshed daily, snapshot 2026-11-12.