# TidyRisk's `evaluator`: how AI models rank it, November 2026

Gane Index, November 2026 Edition. Named in 1 judge label across 1 category by 1 of 14 models. Page: https://www.gane.ai/index/it/vendors/tidyrisk-s-evaluator

## Standing by category

| Category | Share | Rank | Negative rate | Labels |
|---|---|---|---|---|
| [Cyber risk quantification](https://www.gane.ai/index/it/security/cyber-risk-quantification/index.md) | 2% | 27 | 0% | 1 |

## What the models said for it

- "My pick for a company on a tight budget: TidyRisk's `evaluator`—if you have someone comfortable with R." (GPT-6 Luna, Cyber risk quant)

## By model

| Model | First choice | Alternative | Mention | Warning | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-5.4 mini | 0 | 0 | 0 | 0 | 0 |
| Gemini 3.5 Flash | 0 | 0 | 0 | 0 | 0 |
| Perplexity Sonar | 0 | 0 | 0 | 0 | 0 |
| Grok 4.20 | 0 | 0 | 0 | 0 | 0 |
| Mistral Small | 0 | 0 | 0 | 0 | 0 |
| DeepSeek V4 Flash | 0 | 0 | 0 | 0 | 0 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 0 | 0 | 0 | 0 |
| Kimi K2 | 0 | 0 | 0 | 0 | 0 |
| GLM 4.7 FlashX | 0 | 0 | 0 | 0 | 0 |
| MiniMax M2.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-6 Luna | 1 | 0 | 0 | 0 | 1 |
| Muse Glimmer 30B | 0 | 0 | 0 | 0 | 0 |

## Sources returned with these answers

The sites and pages cited by the answers that named TidyRisk's `evaluator`, from 1 of the 1 answers that named it (only the models that return a source list).

### Domains cited

- evaluator.tidyrisk.org: 1
- fairinstitute.org: 1

### Pages cited

- https://evaluator.tidyrisk.org/: 1
- https://fairinstitute.org/frequently-asked-questions: 1

## Record

- Method: https://www.gane.ai/index/it/methodology
- License: CC BY 4.0. Cite as Gane Index, November 2026 Edition, www.gane.ai/index/it.