Artificial Analysis

What Artificial Analysis does

Artificial Analysis provides independent analysis and benchmarking of AI models and API providers. They help organizations understand the AI landscape to choose the best model and provider for their specific use cases. Their offerings include proprietary benchmarks like the Intelligence Index and AA-Briefcase, a personalized model recommender, and tools to compare AI agents. They also offer premium plans with expanded benchmark data, custom visualizations, and industry reports. Additionally, Artificial Analysis provides advisory and custom benchmarking services for various model types including LLMs, Speech to Text, Text to Speech, and Image models, as well as an API for accessing their benchmark and market intelligence dataset.

Products

• Intelligence IndexA proprietary benchmark for evaluating the intelligence of leading AI models, incorporating multiple evaluations like GDPval-AA, τ³-Banking, and Terminal-Bench.
• AA-BriefcaseA proprietary benchmark specifically designed for long-horizon knowledge work.
• Personalized model recommenderA tool that provides personalized recommendations for AI models based on user priorities for intelligence, speed, and cost.
• AI Agents ComparisonA tool to explore and compare AI agents across capabilities, pricing, and platform support for general work, coding, and customer support.
• Pro PlanA subscription plan for individuals and small organizations offering API access, data export, custom charts, industry reports, and email support.
• Enterprise PlanA tailored solution for large organizations including everything in Pro, plus custom benchmarking, higher API rate limits, compute market model access, workshops, education, and AI strategy advisory.
• Advisory ServicesConsulting services including AI market and customer research, AI use-case discovery, technology selection, and cost analysis.
• Custom Benchmarking ServicesTailored benchmarks for technical performance and quality for specific use-cases, support for models not listed publicly, and model fine-tuning impact analysis.
• Data APIAn API providing structured model metadata, benchmark results, pricing, and performance data across language, image, video, music, and speech models for integration into products, research, and monitoring systems.

Key capabilities

• Independent AI benchmarking
• Proprietary evaluation metrics (Intelligence Index, AA-Briefcase)
• Personalized AI model recommendations
• Comparison of AI agents
• Access to expanded benchmark data
• Custom visualizations and industry reports
• API for benchmark and market intelligence data
• Advisory services for AI strategy and technology selection
• Custom benchmarking for specific use cases and model types
• Evaluation of LLMs, Speech to Text, Text to Speech, Image models, and fine-tuned models

Use cases

• Choosing the best AI model and provider
• Understanding the AI landscape
• Staying up to date on models, inference, and hardware
• Building with AI APIs
• Local data analysis
• Building custom charts and tables
• AI market and customer research
• AI use-case discovery
• Selecting appropriate AI technologies
• Technology cost-analysis for AI deployments
• Technical performance and quality benchmarking
• Model fine-tuning support and impact analysis
• Integrating benchmark data into products, research, and monitoring systems

AI approach

Artificial Analysis provides independent analysis and benchmarking of AI models and API providers across various modalities. They develop proprietary benchmarks and evaluation methodologies to assess intelligence, speed, and cost of AI models. They also offer advisory and custom benchmarking services.

Tech named: GDPval-AA V2, 𝜏³-Banking, Terminal-Bench v2.1, AA-Briefcase, Artificial Analysis Intelligence Index, SciCode, Humanity's Last Exam, GPQA Diamond, CritPt, AA-Omniscience, AA-LCR, Artificial Analysis Coding Agent Index, NVIDIA Nemotron 3 Ultra, NVIDIA GB200 NVL72, NVIDIA NemoClaw stack

What it says sets it apart

• Leading independent AI benchmarking company
• Backed by prominent figures like Nat Friedman, Daniel Gross, and Andrew Ng
• Proprietary benchmarks and evaluation methodologies (e.g., GDPval-AA, τ³-Banking, Terminal-Bench, AA-Briefcase)
• Rapid benchmarking of new models and providers (within 24 hours of release)
• Strict independence policy; providers cannot pay for results or methodology changes
• Comprehensive data across various model types (language, image, video, speech, music)
• Customizable solutions for large organizations, including bespoke access terms for API