Discover Enterprise AI & Software Benchmarks
Agentic Coding Benchmark
Compare AI coding assistants’ compliance to specs and code security
LLM Coding Benchmark
Compare LLMs is coding capabilities.
Cloud GPU Providers
Identify the cheapest cloud GPUs for training and inference
GPU Concurrency Benchmark
Measure GPU performance under high parallel request load.
Multi-GPU Benchmark
Compare scaling efficiency across multi-GPU setups.
AI Gateway Comparison
Analyze features and costs of top AI gateway solutions
LLM Latency Benchmark New
Compare the latency of LLMs
LLM Price Calculator
Compare LLM models’ input and output costs
Text-to-SQL Benchmark
Benchmark LLMs’ accuracy and reliability in converting natural language to SQL.
AI Bias Benchmark
Compare the bias rates of LLMs
AI Hallucination Rates
Evaluate hallucination rates of top AI models
Agentic RAG Benchmark
Evaluate multi-database routing and query generation in agentic RAG
Embedding Models Benchmark
Compare embedding models accuracy and speed.
Hybrid RAG Benchmark
Compare hybrid retrieval pipelines combining dense & sparse methods.
Open-Source Embedding Models Benchmark
Evaluate leading open-source embedding models accuracy and speed.
RAG Benchmark
Compare retrieval-augmented generation solutions
Vector DB Comparison for RAG
Compare performance, pricing & features of vector DBs for RAG
Web Unblocker Benchmark
Evaluate the effectiveness of web unblocker solutions
Video Scrapers Benchmark New
Analyze performance of Video Scraper APIs
AI Code Editor Comparison
Analyze performance of AI-powered code editors
E-commerce Scraper Benchmark
Compare scraping APIs for e-commerce data
LLM Examples Comparison
Compare capabilities and outputs of leading large language models
OCR Accuracy Benchmark
See the most accurate OCR engines and LLMs for document automation
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
Handwriting OCR Benchmark
Compare the OCRs in handwriting recognition.
Invoice OCR Benchmark
Compare LLMs and OCRs in invoice.
AI Reasoning Benchmark
See the reasoning abilities of the LLMs.
Speech-to-Text Benchmark
Compare the STT models' WER and CER in healthcare.
Text-to-Speech Benchmark
Compare the text-to-speech models.
AI Video Generator Benchmark
Compare the AI video generators in e-commerce.
Tabular Models Benchmark New
Compare tabular learning models with different datasets
LLM Quantization Benchmark New
Compare BF16, FP8, INT8, INT4 across performance and cost
Multimodal Embedding Models Benchmark New
Compare multimodal embeddings for image–text reasoning
LLM Inference Engines Benchmark New
Compare vLLM, LMDeploy, SGLang on H100 efficiency
LLM Scrapers Benchmark New
Compare the performance of LLM scrapers
Visual Reasoning Benchmark New
Compare the visual reasoning abilities of LLMs
AI Providers Benchmark New
Compare the latency of AI providers
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Latest Benchmarks
Best AI Code Editor: Cursor vs Windsurf vs Replit
Making an app without coding skills is highly trending right now. But can these tools successfully build and deploy an app? We benchmarked 6 AI code editors across 10 real-world web development challenges. Each task required implementations such as backend, frontend, authentication, state management.
Vision Language Models Compared to Image Recognition
Can advanced Vision Language Models (VLMs) replace traditional image recognition models? To find out, we benchmarked 16 leading models across three paradigms: traditional CNNs (ResNet, EfficientNet), VLMs ( such as GPT-4.1, Gemini 2.5), and Cloud APIs (AWS, Google, Azure).
AI Coding Benchmark: Claude code vs Cursor
Coding agents are no longer experimental tools. Teams now rely on them to ship features, fix bugs, and scaffold full applications. However, the market has fragmented into three categories: agentic CLI tools, AI code editors embedded in IDEs, and cloud IDE agents. Each claims to automate development.
Top 7 Open Source AI Coding Agents
In prior evaluations, we benchmarked both open-source and proprietary Agentic CLIs, focusing on their performance in web development tasks, and some open-source agents performed as successfully as the paid options. Therefore, we also listed the top open source coding agents for users with privacy concerns.
See All AI ArticlesLatest Insights
Top 12 SEO AI Use Cases with Case Studies
As algorithms change and consumer expectations rise, it has become more challenging to compete for accessibility in search results. Conventional SEO techniques, which depend on manual research and minor updates, frequently fall behind these developments. AI-powered SEO tools address this challenge by automating complex tasks and aligning content more precisely with user intent.
Test Automation Documentation with Best Practices in 2026
Test automation is vital for ensuring the quality and reliability of applications in software testing and development. Businesses and QA teams are transitioning from manual testing to automation testing as it can: What often goes overlooked is the role of effective documentation in maximizing the benefits of test automation.
Chatbot vs ChatGPT: Differences & Features
When people search “chatbot vs ChatGPT,” they’re asking if ChatGPT is fundamentally different from traditional chatbots. It is. Calling ChatGPT a chatbot is like calling a smartphone just a phone, technically accurate but missing critical distinctions. Let’s clear up what separates traditional chatbots from ChatGPT, and why it matters for anyone choosing between them.
CPFR: TOP 21 Tools, 6 Case Studies & 5 Benefits
The global market for demand planning solutions, including CPFR (collaborative planning, forecasting, and replenishment) software is growing with the need for real-time data sharing, cloud platforms, and AI-driven forecasting to build more integrated and resilient supply chains.
See All AI ArticlesBadges from latest benchmarks
Enterprise Tech Leaderboard
Top 3 results are shown, for more see research articles.
Vendor | Benchmark | Metric | Value | Year |
|---|---|---|---|---|
 Groq | 1st Latency | 2.00 s | 2025 | |
 SambaNova | 2nd Latency | 3.00 s | 2025 | |
 Together.ai | 3rd Latency | 11.00 s | 2025 | |
 llama-4-maverick | 1st Success Rate | 56 % | 2025 | |
 claude-4-opus | 2nd Success Rate | 51 % | 2025 | |
 qwen2.5-72b-instruct | 3rd Success Rate | 45 % | 2025 | |
 Zyte | 1st Response Time | 1.75 s | 2025 | |
 Bright Data | 2nd Response Time | 2.38 s | 2025 | |
 Decodo | 3rd Response Time | 3.43 s | 2025 | |
Bright Data | 1st Overall | Leader | 2025 | |
Data-Driven Decisions Backed by Benchmarks
Insights driven by 40,000 engineering hours per year
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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.
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We are independent, 100% employee-owned and disclose all our sponsors and conflicts of interests. See our commitments for objective research.
