AgentBench.

AgentBench is a comprehensive benchmark designed to evaluate Large Language Models (LLMs) as agents. It provides insights into their strengths and limitations, serving as a standardized platform for future research and development in AI agent technologies. It also includes a trajectory dataset for behavior cloning training.

Best published scores.

No results indexed yet — be the first to submit a score.

Neighbouring benchmarks.

Other Few-Shot Image Classification datasets on Codesota.

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this table?

Submit a checkpoint and a reproduction script. We will run it, publish the score, and — if it takes the top — annotate the step on the progress chart with your name.

• 01A public checkpoint or API endpoint
• 02A reproduction script with frozen commit + seed
• 03Declared evaluation environment (Python, deps)
• 04One row per metric declared by this dataset
• 05A contact so we can follow up on discrepancies