The LLM arena leaderboard is an important LLM evaluation tool.
Using a dynamic ELO scoring system, the leaderboard provides insights into which models lead in multi-task capabilities, reasoning, and real-world applicability.
Let’s dive in.
Best LLM on the LLM arena leaderboard
Comparing the main frontier models on the LLM arena leaderboard.
Last updated: December, 2024
Company | Model | Arena Score |
Gemini 2.0 | 1368 | |
OpenAI | GPT-4o | 1364 |
xAI | Grok-2 | 1288 |
Meta | Llama 3.1 405B | 1267 |
Anthropic | Claude3 Opus | 1248 |
Google’s Gemini 2.0 continues to lead the LLM arena leaderboard with an impressive Arena Score of 1368, narrowly surpassing OpenAI's GPT-4o at 1364.
Meanwhile, xAI’s Grok-2 shows strong performance with 1288, and Meta’s Llama 3.1 405B follows closely with 1267. Anthropic’s Claude3 Opus, though slightly behind at 1248, remains competitive among the top five models.
What is the LLM arena leaderboard?
The LLM arena leaderboard is a platform developed by researchers at UC Berkeley under the LMSYS (Large Model Systems Organization) initiative.
It was designed to evaluate large language models (LLMs) through direct, pairwise comparisons in conversational settings, offering a dynamic ranking system that reflects ongoing competition.
The LLM arena operates as follows:
Two LLMs respond to the same prompt anonymously
Humans choose the better response based on accuracy, coherence, and helpfulness
Scores update after each match to reflect performance
This leaderboard assesses LLMs on a variety of conversational and reasoning tasks, providing a comprehensive view of their capabilities.
Today, the LLM arena leaderboard serves as a key resource for tracking progress in AI development, showcasing how leading models stack up against one another.
Other LLM benchmarks
At BRACAI, we keep track of how the main frontier models perform across multiple benchmarks.
If you have any questions about these benchmarks, or how to get started with AI in your business, feel free to reach out.
Commentaires