Internal Role Opportunity Matching
Given an employee skills profile and open-role requirements, rank eligible roles, identify matched requirements, and surface material gaps.
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 | 30% | 100/100 | $49.73 |
| Qwen3 235B A22B | mid | 46% | 100/100 | $381 |
| DeepSeek V3 | mid | 72% | 100/100 | $155 |
| Mistral Large 2407 | mid | 29% | 100/100 | $233 |
| Arcee Trinity Large Thinking | mid | 29% | 100/100 | $176 |
| GPT-5.4 | frontier | 71% | 100/100 | $3053 |
| Claude Opus 4.7 | frontier | 47% | 100/100 | $5688 |
| Gemini 3.1 Pro Preview | frontier | 0% | 100/100 | $2573 |
| Gemma 4 E4B IT | small | 66% | 100/100 | $16.95 |
| Granite 4.1 8B | small | 29% | 100/100 | $18.93 |
| Ministral 8B Instruct 2410 | small | 9% | 100/100 | $29.55 |
| Qwen3 4B Instruct 2507 | small | 27% | 100/100 | $133 |
LLM-judge pass rate on 100 synthetic examples. Generator: gpt-5.2. Judge: gpt-5.2. Evaluated 2026-09-10T08:50:02.830Z.
Directional: measured on a synthetic eval set generated by drydock. Cost/latency are not yet captured for taskrouter-run benchmarks.
drydock