Discover Enterprise AI & Software Benchmarks
AI Code Editor Comparison
Analyze performance of AI-powered code editors
AI Coding Benchmark
Compare AI coding assistants’ compliance to specs and code security
AI Gateway Comparison
Analyze features and costs of top AI gateway solutions
AI Hallucination Rates
Evaluate hallucination rates of top AI models
Agentic Frameworks Benchmark
Compare latency and completion token usage for agentic frameworks
Agentic RAG Benchmark
Evaluate multi-database routing and query generation in agentic RAG
Cloud GPU Providers
Identify the cheapest cloud GPUs for training and inference
E-commerce Scraper Benchmark
Compare scraping APIs for e-commerce data
LLM Examples Comparison
Compare capabilities and outputs of leading large language models
LLM Price Calculator
Compare LLM models’ input and output costs
OCR Accuracy Benchmark
See the most accurate OCR engines and LLMs for document automation
Proxy Pricing Calculator
Calculate and compare proxy provider costs
RAG Benchmark
Compare retrieval-augmented generation solutions
Screenshot to Code Benchmark
Evaluate tools that convert screenshots to front-end code
SERP Scraper API Benchmark
Benchmark search engine scraping API success rates and prices
Vector DB Comparison for RAG
Compare performance, pricing & features of vector DBs for RAG
Web Unblocker Benchmark
Evaluate the effectiveness of web unblocker solutions
Latest Benchmarks
Agentic Document Extraction: LandingAI & more
Agentic Document Extraction (ADE) is a specialized form of Optical Character Recognition (OCR) that extracts data from various file types. It combines document processing, data retrieval, structured output generation, and automation to streamline knowledge work. ADE stands out from traditional OCR by its ability to recognize complex document structures, such as tables, flowcharts, and images.
Top 7 Open-Source Vector Databases: Faiss vs. Chroma & More
Vector databases are a core enabler of AI-driven applications. As AI Agents and models increasingly rely on high-dimensional data retrieval, selecting a scalable, open-source vector database becomes critical for enterprise deployment.
Handwriting Recognition Benchmark: LLMs vs OCRs
Today, OCR achieves over 99% accuracy on typed text in high-quality images. However, handwriting remains challenging due to style variations, spacing, and irregularities. In our benchmarks, manuscript handwriting averaged 64% accuracy (GPT-4o and Amazon Textract leading), while cursive achieved 90% (GPT-5, Gemini 3 Pro Preview, and olmOCR-2-7B-1025-FP8 performing best).
OCR Benchmark: Text Extraction / Capture Accuracy
OCR accuracy is critical for many document processing tasks and SOTA multi-modal LLMs are now offering an alternative to OCR.
See All AI ArticlesLatest Insights
Optimizing Agentic Coding: How to use Claude Code
AI coding tools have become indispensable for many development tasks. In our tests, popular AI coding tools like Cursor have been responsible for generating over 70% of the code required for tasks.
Top 20 Strategies for AI Improvement & Examples
AI models require continuous improvement as data, user behavior, and real-world conditions evolve. Even well-performing models can drift over time when the patterns they learned no longer match current inputs, leading to reduced accuracy and unreliable predictions.
GPU Marketplace: Shadeform vs Prime Intellect vs Node AI
Finding available GPU capacity at reasonable prices has become a critical challenge for AI teams. While major cloud providers like AWS and Google Cloud offer GPU instances, they’re often at capacity or expensive. GPU marketplace aggregators have emerged as an alternative, connecting users to dozens of providers through a single interface.
Top 40+ LLMOps Tools & Compare them to MLOPs
The rapid adoption of large language models has outpaced the operational frameworks needed to manage them efficiently. Enterprises increasingly struggle with high development costs, complex pipelines, and limited visibility into model performance. LLMOps tools aim to address these challenges by providing structured processes for fine-tuning, deployment, monitoring, and governance.
See All AI ArticlesAIMultiple Newsletter
1 free email per week with the latest B2B tech news & expert insights to accelerate your enterprise.
Data-Driven Decisions Backed by Benchmarks
Insights driven by 40,000 engineering hours per year
60% of Fortune 500 Rely on AIMultiple Monthly
Fortune 500 companies trust AIMultiple to guide their procurement decisions every month. 3 million businesses rely on AIMultiple every year according to Similarweb.
See how Enterprise AI Performs in Real-Life
AI benchmarking based on public datasets is prone to data poisoning and leads to inflated expectations. AIMultiple’s holdout datasets ensure realistic benchmark results. See how we test different tech solutions.
Increase Your Confidence in Tech Decisions
We are independent, 100% employee-owned and disclose all our sponsors and conflicts of interests. See our commitments for objective research.
