The GAIA benchmark is a comprehensive evaluation framework designed to assess the capabilities of general AI assistants by testing fundamental cognitive abilities that humans find simple but current AI systems struggle with. Introduced by researchers including Meta's team, it focuses on real-world problem-solving through reasoning, multi-modality handling, web browsing, and tool usage14.
Key Features
Multi-level structure:
Tasks are divided into three difficulty tiers:
Level 1: Solvable by top-tier LLMs (67.92% accuracy for leading models)
Level 2: Requires advanced tool integration (54.65% top accuracy)
Level 3: Demands human-like adaptability (30.77% best performance)1
Task diversity:
Includes 450-466 questions spanning:
Visual puzzles requiring image analysis
Web navigation challenges
Multi-step calculations with real-world data
Performance Insights
Current leaderboard standings (as of March 2025) show:
Model | Overall Accuracy | Cost (USD) |
---|---|---|
Claude-3-5-Sonnet | 57.58% | $260.19 |
Claude-3-7-Sonnet | 56.36% | $409.01 |
GPT-4o Mini | 13.94% | $18.381 |
Notably, humans achieve 92% accuracy on these tasks compared to 15% for GPT-4 with plugins, highlighting the benchmark's effectiveness in exposing AI limitations48.
Evaluation Dimensions
Task Execution: Completion rate and error frequency
Adaptability: Response to novel scenarios
Efficiency: Computational cost and time metrics
The benchmark serves as a critical milestone for AGI development, emphasizing human-like robustness over narrow expertise. By focusing on everyday challenges rather than specialized domains, GAIA provides a clearer measure of progress toward truly general artificial intelligence48.
Citations:
- https://hal.cs.princeton.edu/gaia
- https://workos.com/blog/gaia-benchmark-evaluating-intelligent-agents
- https://www.reddit.com/r/singularity/comments/181vthx/benchmark_for_general_ai_assistant_by_meta/
- https://ai.meta.com/research/publications/gaia-a-benchmark-for-general-ai-assistants/
- https://arxiv.org/abs/2311.12983
- https://openreview.net/forum?id=fibxvahvs3
- https://huggingface.co/gaia-benchmark
- https://ukgovernmentbeis.github.io/inspect_evals/evals/assistants/gaia/
Answer from Perplexity