Reading-Level Adjustment
Given a passage and target grade level, rewrite it to the requested readability while preserving named entities, facts, and essential vocabulary.
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 | 14% | 100/100 | $18.61 |
| Qwen3 235B A22B | mid | 85% | 100/100 | $29.57 |
| DeepSeek V3 | mid | 91% | 100/100 | $16.23 |
| Mistral Large 2407 | mid | 91% | 100/100 | $30.17 |
| Arcee Trinity Large Thinking | mid | 71% | 100/100 | $98.80 |
| GPT-5.4 | frontier | 100% | 100/100 | $183 |
| Claude Opus 4.7 | frontier | 79% | 100/100 | $698 |
| Gemini 3.1 Pro Preview | frontier | 99% | 100/100 | $1636 |
| Gemma 4 E4B IT | small | 98% | 100/100 | $1.51 |
| Granite 4.1 8B | small | 79% | 100/100 | $2.18 |
| Ministral 8B Instruct 2410 | small | 73% | 100/100 | $4.98 |
| Qwen3 4B Instruct 2507 | small | 93% | 100/100 | $9.30 |
LLM-judge pass rate on 100 synthetic examples. Generator: gpt-5.2. Judge: gpt-5.2. Evaluated 2026-09-09T08:48:02.609Z.
Directional: measured on a synthetic eval set generated by drydock. Cost/latency are not yet captured for taskrouter-run benchmarks.
drydock