What’s Better Than an AI Chatbot? AI Agents That Can Do Tasks on Their Own
What’s better than an AI chatbot that can perform tasks for you when prompted? AI that can do tasks for you on its own. AI agents are the newest frontier in the AI space, with companies racing to build their own models and offerings constantly rolling out to enterprises. But which AI agent is the best?
Galileo’s Agent Leaderboard
On Wednesday, Galileo launched an Agent Leaderboard on Hugging Face, an open-source AI platform where users can build, train, access, and deploy AI models. The leaderboard is meant to help people learn how AI agents perform in real-world business applications and help teams determine which agent best fits their needs.
How Models are Ranked
To determine the results, Galileo uses benchmarking datasets, including the BFCL (Berkeley Function Calling Leaderboard), τ-bench (Tau benchmark), Xlam, and ToolACE, which test different agent capabilities. The leaderboards then turn this data into an evaluation framework that covers real-world use cases.
The Rankings
Google’s Gemini-2.0 flash is in first place, followed closely by OpenAI’s GPT-4o. Both of these models received what Galileo calls "Elite Tier Performance" status, which is given to models with a score of 0.9 or higher. Google and OpenAI dominated the leaderboard with their private models, taking the first six positions.
The Results
- Google’s Gemini 2.0 was consistent across all of the evaluation categories and balanced impressive consistency performance across all categories with cost-effectiveness, according to the post, at a cost of $0.15/$0.6 per million tokens.
- OpenAI’s GPT-4o was a close second, but has a much higher price point at $2.5/$10 per million tokens.
- In the "high-performance segment," the category below the elite tier, Gemini-1.5-Flash came in third place, and Gemini-1.5-Pro in fourth.
- OpenAI’s reasoning models, o1 and o3-mini, followed in fifth and sixth place, respectively.
- Mistral-small-2501 was the first open-sourced AI model to chart. Its score of 0.832 placed it in the "mid-tier capabilities" category, with its strengths being its strong long-context handling and tool selection capabilities.
How to Access the Leaderboard
To view the results, you can visit the Agent Leaderboard on Hugging Face. In addition to the standard leaderboard, you will be able to filter the leaderboard by whether the LLM is open-sourced or private, and by category, which refers to the capability being tested (overall, long context, composite, etc.).
Conclusion
The Galileo Agent Leaderboard provides a comprehensive benchmark of AI models, giving users a clear understanding of which models work best for their needs. With the leaderboard, companies can make informed decisions about which AI agent to use, and developers can build on top of the best-performing models.
Frequently Asked Questions
Q: What is the Galileo Agent Leaderboard?
A: The Galileo Agent Leaderboard is a benchmark of AI models that evaluates their performance in real-world business applications.
Q: How do models get ranked on the leaderboard?
A: Models are ranked based on their performance in benchmarking datasets, including BFCL, τ-bench, Xlam, and ToolACE.
Q: What are the top-performing models on the leaderboard?
A: The top-performing models on the leaderboard are Google’s Gemini-2.0 flash and OpenAI’s GPT-4o, both of which received "Elite Tier Performance" status.
Q: How can I access the leaderboard?
A: You can access the leaderboard on Hugging Face, where you can filter results by whether the LLM is open-sourced or private, and by category.
