# CoderPad vs HackerEarth: 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; one named HackerEarth. Page: https://hr-ai-index.com/talent/technical-hiring-assessments/coderpad-vs-hackerearth/

| | First-choice share | Rank | Negative rate | Labels | Models naming it |
|---|---|---|---|---|---|
| CoderPad | 10% | #3 of 9 | 6% | 52 | 14 of 14 |
| HackerEarth | 7% | #7 of 9 | 13% | 15 | 11 of 14 |

## The direct prompt, model by model

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

## 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 HackerEarth

- "Similar to HackerRank in being low-cost, but with less-modern technology." (Llama 4 Maverick, negative prompt, soft negative)
- "Weaker auto-cheat detection per tests." (Grok 4.1 Fast, comparative prompt, soft negative)
- "For mid-market B2B companies specifically, HackerEarth and TestGorilla stand out for their balance of features, pricing accessibility, and ATS integration compatibility" (Claude Haiku 4.5, direct prompt, first choice)
- "The best coding assessment platform for a company with a limited budget is HackerEarth, which offers coding tests and live technical interviews on a modest budget." (Llama 4 Maverick, budget prompt, first choice)
- "HackerEarth or TestGorilla would be the best starting points due to their affordability" (MiniMax M2.5, budget 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.