Kubernetes Resource Recommendation
Given deployment manifests and CPU-memory utilization summaries, recommend requests and limits within a supplied policy and identify likely throttling or waste.
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 95/100 examples — partial set accepted at the success threshold
| Model | Tier | Quality | Judged | Scenario cost |
|---|---|---|---|---|
| Nemotron Nano 9B v2 | small | 3% | 95/95 | $49.93 |
| Qwen3 235B A22B | mid | 32% | 95/95 | $356 |
| DeepSeek V3 | mid | 35% | 95/95 | $163 |
| Mistral Large 2407 | mid | 22% | 95/95 | $257 |
| Arcee Trinity Large Thinking | mid | 4% | 95/95 | $174 |
| GPT-5.4 | frontier | 69% | 95/95 | $2637 |
| Claude Opus 4.7 | frontier | 62% | 95/95 | $5077 |
| Gemini 3.1 Pro Preview | frontier | 0% | 94/95 | $2538 |
| Gemma 4 E4B IT | small | 11% | 95/95 | $20.35 |
| Granite 4.1 8B | small | 9% | 95/95 | $17.23 |
| Ministral 8B Instruct 2410 | small | 1% | 95/95 | $29.49 |
| Qwen3 4B Instruct 2507 | small | 5% | 95/95 | $133 |
LLM-judge pass rate on 95 synthetic examples. Generator: gpt-5.2. Judge: gpt-5.2. Evaluated 2026-09-10T08:59:48.761Z.
Directional: measured on a synthetic eval set generated by drydock. Cost/latency are not yet captured for taskrouter-run benchmarks.
drydock