LinkedIn launches Crosscheck to compare rival AI models

2026-04-21 · Source: Dataconomy · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Emerging Technologies & Innovation · Depth: Intermediate, quick

Summary

LinkedIn has introduced Crosscheck, a new feature for premium subscribers that allows users to compare responses from various AI models, including those from Anthropic, Google, OpenAI, and Microsoft, through a "blind taste test" format. Users submit a text-based prompt, receive two distinct AI-generated answers, select their preferred one, and then discover which models produced each response. This feature, currently in early development, aims to expand its model range and question types, and includes a leaderboard tracking user ratings across different sectors. Crosscheck offers unlimited text interactions without token limits or extra fees, and LinkedIn shares anonymized usage data with AI companies to help them assess model performance across occupational categories. Initially, it is available to U.S. LinkedIn Premium subscribers, with future plans for broader availability.

Key takeaway

For NLP Engineers evaluating AI models for specific applications, Crosscheck offers a valuable, no-cost "blind taste test" environment. You can quickly compare model outputs from major providers like Anthropic and Google, gaining insights into their performance for various text-based tasks. Utilize the leaderboard to inform your model selection decisions and understand how different AI solutions resonate with professional users.

Key insights

LinkedIn's Crosscheck offers a blind comparison of multiple AI models for premium users.

Principles

• Anonymized user data aids model performance evaluation.
• Direct comparison improves AI model selection.

Method

Users submit a text prompt, receive two blind AI responses, select a preference, and then reveal the generating models. A leaderboard tracks model ratings.

In practice

• Compare AI models without native platform access.
• Evaluate model performance across different occupations.

Topics

• LinkedIn Crosscheck
• AI Model Comparison
• Generative AI
• Premium Subscribers
• Anonymized Data Sharing

Best for: NLP Engineer, AI Product Manager, AI Engineer, Machine Learning Engineer

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Editorial summary, takeaway, and curation by AIssential. Original article published by Dataconomy.