Best AI for Regex Patterns
Compare AI models on writing regular expressions. Ranked across pattern accuracy, edge case handling, and clear explanations of complex regex.
How Regex Patterns rankings are computed
Rankings are based on 20 models tested across 2 regex patterns challenges. Each model is scored using a five-signal composite: 30% Rival Index (with product-line inheritance for new models), 20% task coverage, 20% challenge-scoped duel performance, 15% model recency, and 15% model tier. Models are deduplicated by product line so only the newest version per model family appears. Gemini 3.1 Pro Preview currently leads with a score of 97.1/100. All ranking data is part of Rival's open dataset of 21,000+ human preference votes.
Head-to-Head
Full Rankings
20 models
What is the best AI for regex patterns?
Rival ranks AI models for regex patterns using a five-signal composite algorithm across 2 challenges: 30% Rival Index, 20% task coverage, 20% challenge duels, 15% recency, and 15% model tier. Newer models inherit Rival scores from predecessors within their product line, and only the newest version per model family is shown. As of the latest refresh, Gemini 3.1 Pro Preview leads with a composite score of 97.1/100.
How are AI models ranked for regex patterns on Rival?
Each model is scored with a multi-signal composite: 30% Rival Index, 20% task coverage, 20% challenge duels, 15% recency, and 15% model tier, plus a small bonus for major AI providers. Rankings are based on 20 models tested across 2 regex patterns challenges. Models are deduplicated by product line (e.g., only the latest GLM or GPT version appears). All duel votes are blind: voters see responses without knowing which model produced them.
Can I compare AI models for regex patterns?
Yes. Each model in the ranking links to its profile page, and you can compare any two models side-by-side on Rival's Compare page to see their actual responses to regex patterns challenges.
How often are the regex patterns rankings updated?
Rankings are refreshed every few hours. They incorporate the latest Rival Index scores from community duels, model recency, and any new model responses added to the platform. All ranking data is part of Rival's open dataset.