What is Scale Leaderboard?
Scale AI Inc., a prominent provider of training data for artificial intelligence, has introduced the SEAL Leaderboards, a new ranking system designed to evaluate the capabilities of large language models (LLMs) in various domains. This initiative aims to address the lack of transparency in AI performance, especially with the proliferation of numerous LLMs in the market. The SEAL Leaderboards, developed by Scale AI’s Safety, Evaluations, and Alignment Lab, claim neutrality and integrity by keeping the evaluation prompts confidential. The rankings are based on private, curated datasets and aim to provide a more accurate assessment of AI models’ abilities in common use cases such as generative AI coding, instruction following, math, and multilinguality.
Key Features
Transparency and Integrity: SEAL Leaderboards maintain neutrality by not disclosing the nature of the prompts used for evaluation, ensuring that companies cannot train their models specifically to perform well on these prompts.
Curated Datasets: Scale AI develops private evaluation datasets to maintain the integrity of its rankings, ensuring that the data is not contaminated and provides a true measure of the models’ abilities.
Domain Expertise: The tests are created by verified domain experts, ensuring that the evaluations are thorough and reliable.
Comprehensive Evaluation: The rankings consider multiple domains, providing a holistic view of each model’s capabilities.
Regular Updates: Scale AI plans to update the rankings multiple times a year, adding new frontier models and domains to stay current and comprehensive.
Use Cases
Generative AI Coding: The leaderboards show that OpenAI’s GPT-4 Turbo Preview and GPT-4o models, along with Google’s Gemini 1.5 Pro (Post I/O), are joint-first in this domain, indicating their superior ability to generate computer code.
Multilinguality: GPT-4o and Gemini 1.5 Pro (Post I/O) share first place in this domain, showcasing their excellent performance in handling multiple languages.
Instruction Following: GPT-4o leads in this domain, suggesting its strong capability to follow instructions, with GPT-4 Turbo Preview close behind.
Math: Anthropic’s Claude 3 Opus takes the top spot in math, indicating its exceptional ability to handle mathematical problems.
Conclusion
The SEAL Leaderboards present a much-needed transparent and comprehensive evaluation of large language models. By focusing on key domains and using private, curated datasets, Scale AI provides a valuable resource for companies and researchers to understand the strengths and weaknesses of different AI models. While the current rankings include some of the top models, the plan to regularly update the leaderboards ensures that the评估 will remain relevant and inclusive of emerging models. This initiative not only aids in selecting the right AI model for specific use cases but also drives the AI industry towards greater transparency and accountability.
More information on Scale Leaderboard
Launched
1997-12
Pricing Model
Free
Starting Price
Global Rank
85286
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604.9K
Tech used
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Top 5 Countries
27.77%
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7.5%
2.89%
2.68%
United States
Mexico
India
United Kingdom
Korea, Republic of
Traffic Sources
3.96%
0.57%
0.09%
7.49%
47.47%
40.4%
social
paidReferrals
mail
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search
direct
Source: Similarweb (Sep 24, 2025)
Scale Leaderboard was manually vetted by our editorial team and was first featured on 2024-05-31.
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