Stack-Trace Error Deduplication
Given stack traces with varying request IDs and line noise, cluster incidents by underlying failure signature and provide a representative trace for each cluster.
View token rates
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 | 41% | 100/100 | $24.01 |
| Qwen3 235B A22B | mid | 89% | 100/100 | $124 |
| DeepSeek V3 | mid | 90% | 100/100 | $79.94 |
| Mistral Large 2407 | mid | 97% | 100/100 | $177 |
| Arcee Trinity Large Thinking | mid | 50% | 100/100 | $143 |
| GPT-5.4 | frontier | 98% | 100/100 | $972 |
| Claude Opus 4.7 | frontier | 100% | 100/100 | $2520 |
| Gemini 3.1 Pro Preview | frontier | 59% | 100/100 | $1560 |
| Gemma 4 E4B IT | small | 5% | 100/100 | $4.33 |
| Granite 4.1 8B | small | 86% | 100/100 | $9.46 |
| Ministral 8B Instruct 2410 | small | 87% | 100/100 | $24.99 |
| Qwen3 4B Instruct 2507 | small | 61% | 100/100 | $36.17 |
LLM-judge pass rate on 100 synthetic examples. Generator: gpt-5.2. Judge: gpt-5.2. Evaluated 2026-09-09T01:32:02.618Z.
Directional: measured on a synthetic eval set generated by drydock. Cost/latency are not yet captured for taskrouter-run benchmarks.
drydock