Artificial Analysis
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About
Artificial Analysis serves as a comprehensive hub for independent, objective performance data on artificial intelligence models and API providers. In an industry where model performance and pricing change weekly, the platform provides a centralized location to track the "Intelligence Index" across hundreds of models including GPT-5 variants, Claude, Gemini, and Llama. It moves beyond marketing claims by running standardized tests on dedicated hardware to ensure that developers and enterprises get an accurate picture of real-world performance across reasoning, knowledge, and coding tasks. The tool offers detailed visualizations like the "Intelligence vs. Cost" and "Intelligence vs. Speed" quadrants, which allow users to visualize the trade-offs between different frontier models and their hosting providers. It specifically tracks several specialized benchmarks such as GDPval-AA for agentic real-world work, Terminal-Bench for coding, and IFBench for instruction following. Additionally, the platform hosts "Arenas" for blind preference voting in image and video generation, alongside hardware benchmarks that compare GPU inference efficiency to help users understand the underlying infrastructure requirements. This resource is primarily designed for software engineers, product managers, and enterprise decision-makers who need to select the most efficient infrastructure for AI-driven applications. It is particularly useful for those building agentic workflows or high-throughput systems where slight variations in tokens-per-second or input/output costs have significant financial and user-experience impacts. Researchers also benefit from the "Openness Index," which ranks models based on the transparency of their methodology and training data. By providing independent verification of lab-claimed values, it offers a layer of technical trust that is essential for professional AI implementation.
Pros & Cons
Provides independent verification of AI performance claims rather than relying on lab reports.
Tracks granular speed and cost data across multiple API providers for the same model.
Offers specialized evaluations for agentic tool use, scientific reasoning, and coding accuracy.
Includes a comprehensive hardware benchmark for GPU inference performance.
Visualizes complex trade-offs using interactive intelligence-to-price quadrants.
Deep insights and full reports are restricted to enterprise-level subscriptions.
The vast amount of technical benchmark data may be complex for non-developers.
Model data changes rapidly, requiring constant monitoring of the latest index version.
Use Cases
Developers can compare tokens-per-second across providers like Groq and Azure to find the fastest endpoint for real-time applications.
Enterprise decision-makers use the Intelligence vs. Cost quadrant to balance high performance with operational budgets for LLM integration.
AI Researchers can track model transparency through the Openness Index to understand the methodology and data used in frontier models.
Graphic designers can use the Image Arena to see which text-to-image models currently lead in blind preference for visual quality.
Platform
Task
Features
• personalized model recommendations
• model openness index
• agentic work tasks evaluation (gdpval-aa)
• intelligence vs. cost analysis
• hardware gpu benchmarking
• image and video generation arenas
• api provider performance tracking
• artificial analysis intelligence index
FAQs
What is the Artificial Analysis Intelligence Index?
It is a comprehensive metric that incorporates 10 different evaluations, including SciCode and GPQA Diamond, to measure model reasoning and knowledge independently.
How is the speed of AI models measured?
The platform measures output tokens per second on dedicated hardware, focusing on the generation rate after the first token is received from the API.
Does the platform verify lab claims from AI companies?
Yes, Artificial Analysis distinguishes between verified independent test results and data claimed by AI labs that has not yet been independently verified.
What is the purpose of the Image and Video Arenas?
These arenas use blind preference votes from users to generate ELO scores and 95% confidence intervals for image and video generation models.
How does the Openness Index work?
It assesses how transparent models are based on their availability and the disclosure of methodology, pre-training data, and post-training data.
Pricing Plans
Free
Free Plan• Access to Intelligence Index
• Image & Video Leaderboards
• API Provider Speed Data
• Hardware Benchmarking
• Model Pricing Comparisons
• Openness Index Access
Job Opportunities
There are currently no job postings for this AI tool.
Ratings & Reviews
No ratings available yet. Be the first to rate this tool!
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