InventoryOptimization
Task 14 / 47
tree_gsm_safety_stock
Tree-structured multi-echelon safety-stock placement under guaranteed-service–style assumptions: choose safety stocks or coverage times per node to meet service targets while minimizing system-wide holding cost—classic supply-chain network inventory optimization.
Model leaderboard
Updated v1 results · 2026-09-15 · raw score, higher is better.
| # | Participant | Raw score | Medal |
|---|---|---|---|
| 1 | Claude Opus 4.6 | 0.66060707 | Gold |
| 1 | Gemini 3.1 Pro Preview | 0.66060707 | Gold |
| 1 | GLM-5 | 0.66060707 | Gold |
| 1 | GPT-5.4 | 0.66060707 | Gold |
| 1 | Grok 4.20 | 0.66060707 | Gold |
| 1 | Qwen3 Coder Next | 0.66060707 | Gold |
| 1 | Seed 2.0 Pro | 0.66060707 | Gold |
| — | DeepSeek V3.2 | No valid score | — |
Framework results · original paper
Historical results from the original evaluators · normalized score (0–100).
| # | Participant | Score |
|---|---|---|
| 1 | Claude Opus 4.6 + OpenEvolve | 100.0 |
| 2 | Claude Opus 4.6 + ShinkaiEvolve | 44.1 |
| 3 | GPT-OSS + ShinkaiEvolve | 0.0 |
| 4 | Claude Opus 4.6 + ABMCTS | 0.0 |
| 5 | GPT-OSS + OpenEvolve | 0.0 |
| 6 | GPT-OSS + ABMCTS | 0.0 |
Model results use the updated scores and medal thresholds. No valid score earns zero medal credit. Historical framework scores use the original evaluators and have not been updated alongside the model results.