Inventory Stock-Out Explanation
Given inventory events, purchase orders, sales velocity, and fulfillment data, identify the primary stock-out cause and generate a customer-safe explanation.
View token rates · observed 9/11/2026
Compare 2 router rates · observed 9/11/2026
Compare 2 router rates · observed 9/11/2026
All 12 model results and methodology
Generated 100/100 examples
| Model | Tier | Quality | Judged | Scenario cost |
|---|---|---|---|---|
| Nemotron Nano 9B v2 | small | 37% | 100/100 | $45.42 |
| Qwen3 235B A22B | mid | 78% | 100/100 | $262 |
| DeepSeek V3 | mid | 79% | 100/100 | $80.38 |
| Mistral Large 2407 | mid | 88% | 100/100 | $194 |
| Arcee Trinity Large Thinking | mid | 58% | 100/100 | $142 |
| GPT-5.4 | frontier | 99% | 100/100 | $1501 |
| Claude Opus 4.7 | frontier | 97% | 100/100 | $4506 |
| Gemini 3.1 Pro Preview | frontier | 33% | 100/100 | $2531 |
| Gemma 4 E4B IT | small | 79% | 100/100 | $10.85 |
| Granite 4.1 8B | small | 49% | 100/100 | $15.32 |
| Ministral 8B Instruct 2410 | small | 47% | 100/100 | $26.77 |
| Qwen3 4B Instruct 2507 | small | 36% | 100/100 | $98.26 |
LLM-judge pass rate on 100 synthetic examples. Generator: gpt-5.2. Judge: gpt-5.2. Evaluated 2026-09-09T10:37:02.496Z.
Directional: measured on a synthetic eval set generated by drydock. Cost/latency are not yet captured for taskrouter-run benchmarks.
drydock