Behavioral Interview Question Generation
Given a role competency matrix, generate behavioral questions and anchored scoring criteria that test each required competency without protected-class content.
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 | 54% | 100/100 | $39.15 |
| Qwen3 235B A22B | mid | 69% | 100/100 | $236 |
| DeepSeek V3 | mid | 91% | 100/100 | $119 |
| Mistral Large 2407 | mid | 75% | 100/100 | $172 |
| Arcee Trinity Large Thinking | mid | 75% | 100/100 | $125 |
| GPT-5.4 | frontier | 92% | 100/100 | $2430 |
| Claude Opus 4.7 | frontier | 36% | 100/100 | $5312 |
| Gemini 3.1 Pro Preview | frontier | 4% | 100/100 | $2468 |
| Gemma 4 E4B IT | small | 85% | 100/100 | $11.74 |
| Granite 4.1 8B | small | 91% | 100/100 | $10.98 |
| Ministral 8B Instruct 2410 | small | 27% | 100/100 | $17.09 |
| Qwen3 4B Instruct 2507 | small | 59% | 100/100 | $72.88 |
LLM-judge pass rate on 100 synthetic examples. Generator: gpt-5.2. Judge: gpt-5.2. Evaluated 2026-09-10T08:54:02.458Z.
Directional: measured on a synthetic eval set generated by drydock. Cost/latency are not yet captured for taskrouter-run benchmarks.
drydock