Tool Selection and Argument Validation
Given conversation history and OpenAI-compatible tool definitions, call every required tool with valid supplied arguments or explain missing or invalid parameters without fabricating a call. Available model: neurometric/tool-choice.
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 | 27% | 100/100 | $22.93 |
| Qwen3 235B A22B | mid | 42% | 100/100 | $41.72 |
| DeepSeek V3 | mid | 30% | 100/100 | $24.10 |
| Mistral Large 2407 | mid | 40% | 100/100 | $65.41 |
| Arcee Trinity Large Thinking | mid | 45% | 100/100 | $84.39 |
| GPT-5.4 | frontier | 71% | 100/100 | $307 |
| Claude Opus 4.7 | frontier | 74% | 100/100 | $896 |
| Gemini 3.1 Pro Preview | frontier | 54% | 100/100 | $876 |
| Gemma 4 E4B IT | small | 31% | 100/100 | $1.94 |
| Granite 4.1 8B | small | 31% | 100/100 | $5.63 |
| Ministral 8B Instruct 2410 | small | 17% | 100/100 | $8.67 |
| Qwen3 4B Instruct 2507 | small | 24% | 100/100 | $12.44 |
LLM-judge pass rate on 100 synthetic examples. Generator: gpt-5.2. Judge: gpt-5.2. Evaluated 2026-09-09T02:50:02.530Z.
Directional: measured on a synthetic eval set generated by drydock. Cost/latency are not yet captured for taskrouter-run benchmarks.
drydock