Invoice Payment-Fraud Detection
Given historical vendor records and a new invoice, flag suspicious bank-detail changes, duplicate invoice numbers, amount anomalies, and mismatched remittance instructions.
Compare 2 router rates · observed 9/4/2026
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 | 72% | 100/100 | $42.21 |
| Qwen3 235B A22B | mid | 74% | 100/100 | $291 |
| DeepSeek V3 | mid | 81% | 100/100 | $107 |
| Mistral Large 2407 | mid | 95% | 100/100 | $211 |
| Arcee Trinity Large Thinking | mid | 55% | 100/100 | $140 |
| GPT-5.4 | frontier | 100% | 100/100 | $1955 |
| Claude Opus 4.7 | frontier | 73% | 100/100 | $5425 |
| Gemini 3.1 Pro Preview | frontier | 29% | 100/100 | $2530 |
| Gemma 4 E4B IT | small | 73% | 100/100 | $13.84 |
| Granite 4.1 8B | small | 76% | 100/100 | $13.39 |
| Ministral 8B Instruct 2410 | small | 68% | 100/100 | $36.24 |
| Qwen3 4B Instruct 2507 | small | 46% | 100/100 | $120 |
LLM-judge pass rate on 100 synthetic examples. Generator: gpt-5.2. Judge: gpt-5.2. Evaluated 2026-09-10T08:58:02.524Z.
Directional: measured on a synthetic eval set generated by drydock. Cost/latency are not yet captured for taskrouter-run benchmarks.
drydock