GAIA Benchmark
GAIA is a benchmark for General AI Assistants that requires a set of fundamental abilities such as reasoning, multi-modality handling, web browsing, and tool-use proficiency. It contains 450 questions with unambiguous answers, requiring different levels of tooling and autonomy to solve. It is divided in 3 levels, where level 1 should be breakable by very good LLMs, and level 3 indicate a strong jump in model capabilities. We evaluate on the public validation set of 165 questions.
Paper: GAIA: a benchmark for General AI Assistants (Mialon et al., 2023)
Key Features of GAIA
Multi-Level Evaluation
Tasks are organized into three difficulty levels, testing increasingly complex cognitive abilities.
Diverse Task Types
Covers a wide range of tasks from basic reasoning to complex problem-solving and creative generation.
GAIA Leaderboard
| Rank | Agent | Models |
Verified
Verified Results
Results have been reproduced by the HAL team |
Accuracy
Accuracy
Confidence intervals show the min-max values across runs for those agents where multiple runs are available |
Level 1
Level 1
GAIA is divided in 3 levels, where level 1 should be breakable by very good LLMs, and level 3 indicate a strong jump in model capabilities. |
Level 2
Level 2
GAIA is divided in 3 levels, where level 1 should be breakable by very good LLMs, and level 3 indicate a strong jump in model capabilities. |
Level 3
Level 3
GAIA is divided in 3 levels, where level 1 should be breakable by very good LLMs, and level 3 indicate a strong jump in model capabilities. |
Cost (USD)
Total Cost
Total API cost for running the agent on all tasks. Confidence intervals show the min-max values across runs for those agents where multiple runs are available |
Runs
Number of Runs
The number of runs for this agent submitted to the leaderboard. To submit multiple evaluations, rerun the same agent and set the same agent name |
Traces |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 | claude-3-5-sonnet-20241022 | ✓ | 57.58% | 67.92% | 59.30% | 30.77% | $260.19 | 1 | Download | |
| 2 | claude-3-7-sonnet-20250219 | ✓ | 56.36% | 69.81% | 54.65% | 34.62% | $409.01 | 1 | Download | |
| 3 | o1-preview-2024-09-12 | ✓ | 56.36% | 69.81% | 55.81% | 30.77% | $641.52 | 1 | Download | |
| 4 | o3-mini-2025-01-31 med. | ✓ | 49.70% | 60.38% | 51.16% | 23.08% | $47.72 | 1 | Download | |
| 5 | o1-mini-2024-09-12 | ✓ | 36.97% | 52.83% | 34.88% | 11.54% | $59.25 | 1 | Download | |
| 6 | gpt-4o-2024-11-20 | ✓ | 34.55% | 47.17% | 31.40% | 19.23% | $209.12 | 1 | Download | |
| 7 | gpt-4o-mini-2024-07-18 | ✓ | 13.94% (-0.61/+0.61) | 28.30% | 9.30% | 0.00% | $18.38 (-0.63/+0.63) | 2 | Download | |
| 8 | Meta-Llama-3.1-405B-Instruct-Turbo | ✓ | 12.12% | 20.75% | 8.14% | 7.69% | $128.78 | 1 | Download |
Accuracy vs. Cost Frontier for GAIA
This plot shows the relationship between an agent's performance and its token cost. The Pareto frontier (dashed line) represents the current state-of-the-art trade-off. The error bars indicate min-max values across runs.
Heatmap for GAIA
The heatmap visualizes success rates across tasks and agents. Colorscale shows the fraction of times a task was solved across reruns of the same agent. The "any agent" performance indicates the level of saturation of the benchmark and gives a sense of overall progress.
Failure Analysis (Experimental)
Select an agent to see a detailed breakdown of failure categories and their descriptions. This analysis helps understand common failure patterns and areas for improvement. Failure reports are usually available for the top 2 agents.
Failure Categories
Distribution of Failures
Token Pricing Configuration
Adjust token prices to see how they affect the total cost calculations in the leaderboard and plots.
Additional Resources
Getting Started
Want to evaluate your agent on GAIA? Follow our comprehensive guide to get started:
View Documentation