# CoderPad vs Codility: which do AI models recommend for technical hiring assessm, October 2026

HR AI Recommendation Index, October 2026 Edition, Technical hiring assessments. One of fourteen models named CoderPad first on the direct prompt; three named Codility. Page: https://hr-ai-index.com/talent/technical-hiring-assessments/coderpad-vs-codility/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| CoderPad | 10% | #3 of 9 | 6% | 52 | 14 of 14 |
| Codility | 9% | #6 of 9 | 25% | 53 | 14 of 14 |

## The direct prompt, model by model

- Gemini 3.5 Flash: coderpad first (first choices: CoderPad, Woven) (alternatives: CodeSignal)
- DeepSeek V4 Flash: codility first (first choices: Codility) (alternatives: CodeSignal, HackerRank)
- GLM 4.7 FlashX: codility first (first choices: Codility, TestGorilla) (alternatives: CodeSignal, Coderbyte, HackerRank)
- MiniMax M2.5: codility first (first choices: Codility) (alternatives: AssessHub, CoderPad, HackerRank)
- GPT-5.4 mini: neither first, one named (first choices: HackerRank) (alternatives: CodeSignal, Codility)
- Grok 4.1 Fast: neither first, one named (first choices: HackerRank) (alternatives: CodeSignal, CoderPad, Coderbyte, Codility)
- Qwen 3.7 Flash: neither first, one named (first choices: CodeSignal) (alternatives: CoderPad, Codility, TestGorilla, Voomer)
- GPT-6 Luna: neither first, one named (first choices: CodeSignal Hire Grow) (alternatives: CoderPad, HackerRank)
- Muse Glimmer 30B: neither first, one named (first choices: CodeSignal, DevSkiller, HackerRank) (alternatives: Codility)
- Claude Haiku 4.5: neither named (first choices: HackerEarth, TestGorilla) (alternatives: CodeSignal)
- Perplexity Sonar: neither named (first choices: CodeSignal) (alternatives: Coderbyte, DevSkiller)
- Mistral Small: neither named (first choices: Goodfit) (alternatives: HackerRank)
- Llama 4 Maverick: neither named (first choices: Goodfit) (alternatives: CodeSignal, Coderbyte, HackerRank)
- Kimi K2: neither named (first choices: Coderbyte) (alternatives: HackerRank, TestGorilla)

## What the models said about CoderPad

- "CoderPad lacks webcam monitoring and browser lockdown features... the site can get buggy, has limited pre-built questions" (Claude Haiku 4.5, negative prompt, soft negative)
- "Advanced features locked behind higher tiers, occasional bugs, limited question library" (MiniMax M2.5, negative prompt, soft negative)
- "CoderPad – Time management issues, weaker proctoring." (GLM 4.7 FlashX, negative prompt, soft negative)
- "CoderPad | End-to-End & Live Pairing | Offers a great developer experience. Candidates use a real VS Code-like environment." (Gemini 3.5 Flash, scale prompt, first choice)
- "CoderPad if you want to interview candidates in real-time to gauge their communication and debugging skills." (GLM 4.7 FlashX, comparative prompt, first choice)
- "Known for live, collaborative interviews, which can provide a more realistic candidate experience" (Mistral Small, negative prompt, first choice)

## What the models said about Codility

- "Avoid if budget is the main constraint... Codility tends to start higher and is more enterprise-oriented" (GPT-5.4 mini, budget prompt, hard negative)
- "(e.g., HackerRank, Codility, CodeSignal): ... often criticized for not reflecting real-world job tasks" (Mistral Small, negative prompt, hard negative)
- "High negative sentiment (e.g., labeled "hostile candidate experience" in AI model analyses)" (Grok 4.1 Fast, negative prompt, hard negative)
- "### 1. Codility - Best for: Mid-market to enterprise companies needing secure, scalable assessments" (MiniMax M2.5, direct prompt, first choice)
- "Choose HackerRank or Codility if you are an enterprise needing rigorous automated screening" (Gemini 3.5 Flash, comparative prompt, first choice)

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen models, for a mid-market B2B company; rank is within the category. Comparisons are drawn for the top eight products in each category. Published under CC BY 4.0; the output is the models' output, and nothing here is a recommendation by the index.