Artificial Analysis
A benchmark platform for independently evaluating AI models and API service providers, conducting horizontal comparisons based on intelligence indices, output speeds and single-task costs, and covering multi-category rankings such as coding, speech, image and video, as well as comparisons with search service providers.
Updated: 2026-10-26
What is Artificial Analysis?
Artificial Analysis is an independent benchmark website that evaluates AI models and API service providers. It helps users understand the current AI landscape and select the most suitable models and suppliers for their scenarios. Instead of relying on manufacturers' self-reported data, it independently benchmarks key indicators such as quality, price, output speed and latency, covering both the models themselves and the providers that offer API hosting. The official website has the slogan "Independent analysis of AI". With continuously updated data, it is a commonly used third-party reference for model selection and is also frequently cited by evaluations and media outlets.
Who is it for?
- Engineers and product decision-makers who need to select models; entrepreneurial teams and individual developers who need to balance cost and quality; analysts and media that need to cite third-party benchmark data when writing evaluations, reports or articles; as well as researchers who want to continuously track the evolution of model capabilities and pay attention to the changes in each version of the index.
Key features
6Intelligence Index
A self-built comprehensive intelligent scoring system for scoring and continuously updating model capabilities; the official website publicly discloses the version change notes of the index (for example, the latest version replaces old tasks with new benchmarks and upgrades terminal operation-based evaluations) to ensure that the scores reflect cutting-edge capabilities and facilitate traceability.
Cost Comparison
Provides metrics such as "Cost per Intelligence Index task completed", converting model performance into comparable monetary values and providing a quantitative basis for the trade-off between "quality vs. budget".
Speed and Latency
Displays performance metrics such as output speed and conducts horizontal comparisons alongside prices to avoid one-sided model selection that "only compares quality, not cost and speed".
Dual-line Comparison of Models and Service Providers
It is also possible to compare the performance differences of the same model on different hosting services. It supports browsing by category according to Open Weights and Proprietary, making it convenient to select API suppliers.
Category-specific Leaderboards
In addition to language models, it covers leaderboards for multiple categories such as coding agents, speech, images, videos, and reasoning, meeting the model selection needs of different application scenarios.
Search Index
A newly launched comparison of search-focused API service providers, which evaluates the quality, cost and speed of AI agents using the same set of metrics, covering retrieval-augmented and intelligent search application scenarios.
How to use Artificial Analysis
- The ranking is suitable for narrowing down the candidate range: first lock the category according to your own scenario, then find a balance between quality and "single-task cost".
- Before making the final decision, conduct a small-scale comparative test on the 2-3 shortlisted models with your own real tasks, which is more reliable than any ranking.
- when making a technical selection report, indicate the version and time of the data source to make the conclusion more solid.
Things to know
Traffic & popularity
Data month Sep 2026
Artificial Analysis receives about 7.2M visits per month and ranks #7,202 worldwide.
Monthly visits
12 monthsTraffic sources
- Direct48.5%
- Search38.9%
- Referrals5.5%
- Social4.3%
- AI assistants1.9%
- Other0.8%
Top countries
- United States20.8%
- China9.0%
- Brazil5.2%
- India4.4%
- Germany4.0%
Estimated from third-party traffic data.
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