general benchmark
Artificial Analysis
Artificial Analysis benchmark evaluates AI models across quality, speed, and pricing dimensions, providing a composite assessment of model capabilities for real-world usage.
Updated Aug 11, 2026
Models5
Model coverage5
MetricScore
EvidenceB
Artificial Analysis Ranking
Higher score ranks better on this benchmark.
| 01 | OP | 59.0% | 100.0% | 5 | B | |
| 02 | OP | 55.0% | 75.0% | 5 | B | |
| 03 | XA | 54.0% | 50.0% | 5 | B | |
| 04 | OP | 51.0% | 25.0% | 5 | B | |
| 05 | MI | 50.0% | 0.0% | 5 | C |
Artificial Analysis Score Distribution
A closer view of the leading scores on this benchmark.
Artificial Analysis Highlights
The leading models and scores on this benchmark.
What is Artificial Analysis?
What Artificial Analysis measures and how its scores work.
Artificial Analysis benchmark evaluates AI models across quality, speed, and pricing dimensions, providing a composite assessment of model capabilities for real-world usage.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- Artificial Analysis
- Modality
- text
- Primary category
- general
- Score direction
- higher
- LLMBoard eligible
- Yes
- Evaluation key
- artificial-analysis|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about Artificial Analysis.
Which model scores highest on Artificial Analysis?
GPT-5.6 Sol is currently ranked first with 59.0%.
What does Artificial Analysis measure?
Artificial Analysis benchmark evaluates AI models across quality, speed, and pricing dimensions, providing a composite assessment of model capabilities for real-world usage.
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
5 model results are currently shown.
Does this benchmark affect the overall score?
Yes. This benchmark can contribute to the current LLMBoard capability score.