Wholesale Credit Application Extraction
Given a dealer application, extract legal entity, principals, references, requested limit, tax identifiers, and missing fields into typed JSON.
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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 | 1% | 100/100 | $49.22 |
| Qwen3 235B A22B | mid | 15% | 100/100 | $157 |
| DeepSeek V3 | mid | 18% | 100/100 | $82.30 |
| Mistral Large 2407 | mid | 8% | 100/100 | $179 |
| Arcee Trinity Large Thinking | mid | 1% | 100/100 | $177 |
| GPT-5.4 | frontier | 50% | 100/100 | $1086 |
| Claude Opus 4.7 | frontier | 39% | 100/100 | $2792 |
| Gemini 3.1 Pro Preview | frontier | 6% | 100/100 | $2559 |
| Gemma 4 E4B IT | small | 4% | 100/100 | $9.59 |
| Granite 4.1 8B | small | 6% | 100/100 | $9.61 |
| Ministral 8B Instruct 2410 | small | 4% | 100/100 | $23.45 |
| Qwen3 4B Instruct 2507 | small | 7% | 100/100 | $53.15 |
LLM-judge pass rate on 100 synthetic examples. Generator: gpt-5.2. Judge: gpt-5.2. Evaluated 2026-09-09T11:10:02.661Z.
Directional: measured on a synthetic eval set generated by drydock. Cost/latency are not yet captured for taskrouter-run benchmarks.
drydock