Bank-to-GL Reconciliation Explanation
Given bank transactions and general-ledger entries, match reconciling items and explain outstanding deposits, fees, timing differences, and unexplained variance.
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 | 14% | 100/100 | $48.65 |
| Qwen3 235B A22B | mid | 20% | 100/100 | $362 |
| DeepSeek V3 | mid | 37% | 100/100 | $126 |
| Mistral Large 2407 | mid | 44% | 100/100 | $269 |
| Arcee Trinity Large Thinking | mid | 8% | 100/100 | $167 |
| GPT-5.4 | frontier | 65% | 100/100 | $2323 |
| Claude Opus 4.7 | frontier | 61% | 100/100 | $4719 |
| Gemini 3.1 Pro Preview | frontier | 17% | 100/100 | $2532 |
| Gemma 4 E4B IT | small | 29% | 100/100 | $17.91 |
| Granite 4.1 8B | small | 20% | 100/100 | $19.39 |
| Ministral 8B Instruct 2410 | small | 11% | 100/100 | $32.20 |
| Qwen3 4B Instruct 2507 | small | 5% | 100/100 | $133 |
LLM-judge pass rate on 100 synthetic examples. Generator: gpt-5.2. Judge: gpt-5.2. Evaluated 2026-09-10T08:59:02.496Z.
Directional: measured on a synthetic eval set generated by drydock. Cost/latency are not yet captured for taskrouter-run benchmarks.
drydock