Unit-Test Case Generation
Given a function contract and implementation, generate executable unit-test cases covering happy paths, boundaries, invalid inputs, and observed failure branches.
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 | 1% | 100/100 | $47.28 |
| Qwen3 235B A22B | mid | 55% | 100/100 | $162 |
| DeepSeek V3 | mid | 58% | 100/100 | $92.13 |
| Mistral Large 2407 | mid | 58% | 100/100 | $147 |
| Arcee Trinity Large Thinking | mid | 24% | 100/100 | $141 |
| GPT-5.4 | frontier | 93% | 100/100 | $1079 |
| Claude Opus 4.7 | frontier | 43% | 100/100 | $4849 |
| Gemini 3.1 Pro Preview | frontier | 45% | 100/100 | $2232 |
| Gemma 4 E4B IT | small | 69% | 100/100 | $10.69 |
| Granite 4.1 8B | small | 31% | 100/100 | $10.95 |
| Ministral 8B Instruct 2410 | small | 21% | 100/100 | $16.80 |
| Qwen3 4B Instruct 2507 | small | 23% | 100/100 | $61.91 |
LLM-judge pass rate on 100 synthetic examples. Generator: gpt-5.2. Judge: gpt-5.2. Evaluated 2026-09-10T08:57:02.527Z.
Directional: measured on a synthetic eval set generated by drydock. Cost/latency are not yet captured for taskrouter-run benchmarks.
drydock