Constructive Student Feedback Rewrite
Given a rubric score and teacher evidence, produce specific growth-oriented feedback that accurately reflects strengths and next steps.
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 | 86% | 100/100 | $15.62 |
| Qwen3 235B A22B | mid | 89% | 100/100 | $41.36 |
| DeepSeek V3 | mid | 96% | 100/100 | $19.04 |
| Mistral Large 2407 | mid | 95% | 100/100 | $52.49 |
| Arcee Trinity Large Thinking | mid | 74% | 100/100 | $49.33 |
| GPT-5.4 | frontier | 100% | 100/100 | $234 |
| Claude Opus 4.7 | frontier | 93% | 100/100 | $1592 |
| Gemini 3.1 Pro Preview | frontier | 100% | 100/100 | $1362 |
| Gemma 4 E4B IT | small | 99% | 100/100 | $1.58 |
| Granite 4.1 8B | small | 79% | 100/100 | $4.75 |
| Ministral 8B Instruct 2410 | small | 75% | 100/100 | $7.41 |
| Qwen3 4B Instruct 2507 | small | 85% | 100/100 | $14.04 |
LLM-judge pass rate on 100 synthetic examples. Generator: gpt-5.2. Judge: gpt-5.2. Evaluated 2026-09-09T09:10:03.114Z.
Directional: measured on a synthetic eval set generated by drydock. Cost/latency are not yet captured for taskrouter-run benchmarks.
drydock