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 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
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
LLM Coding Benchmark
Compare LLMs is coding capabilities.
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.
AI Bias Benchmark
Compare the bias rates of LLMs
Multi-GPU Benchmark
Compare scaling efficiency across multi-GPU setups.
GPU Concurrency Benchmark
Measure GPU performance under high parallel request load.
Embedding Models Benchmark
Compare embedding models accuracy and speed.
Open-Source Embedding Models Benchmark
Evaluate leading open-source embedding models accuracy and speed.
Text-to-SQL Benchmark
Benchmark LLMs’ accuracy and reliability in converting natural language to SQL.
Hybrid RAG Benchmark
Compare hybrid retrieval pipelines combining dense & sparse methods.
Latest Benchmarks
15 Threats to the Security of AI Agents in 2026
Even a few years ago, the unpredictability of large language models (LLMs) would have posed serious challenges. One notable early case involved ChatGPT’s search tool: researchers found that webpages designed with hidden instructions (e.g., embedded prompt-injection text) could reliably cause the tool to produce biased, misleading outputs, despite the presence of contrary information.
15 AI Agent Observability Tools in 2026: AgentOps & Langfuse
AI agent observability tools, such as Langfuse and Arize, help gather detailed traces (a record of a program or transaction’s execution) and provide dashboards to track metrics in real time. Many agent frameworks, like LangChain, use the OpenTelemetry standard to share metadata with agentic monitoring. On top of that, many observability tools provide custom instrumentation for greater flexibility.
Computer Use Agents: Benchmark & Architecture in 2026
Computer-use agents promise to operate real desktops and web apps, but their designs, limits, and trade-offs are often unclear. We examine leading systems by breaking down how they work, how they learn, and how their architectures differ.
AI Memory: Most Popular AI Models with the Best Memory
Smarter models often have worse memory. We tested 26 large language models in a 32-message business conversation to determine which actually retain information. AI memory benchmark results We tested 26 popular large language models through a simulated 32-message business conversation with 43 questions.
See All Agentic AI ArticlesLatest Insights
Top 30+ Industrial AI Agents Landscape to Watch in 2026
Industrial AI agents address the limitations of siloed data by autonomously integrating and deriving actionable insights from IoT, controls systems (e.g. SCADA), and connected assets.
Moltbot (Formerly Clawdbot) Use Cases and Security [2026]
Moltbot (formerly Clawdbot) is an open-source, self-hosted AI assistant designed to execute local computing tasks and interface with users through standard messaging platforms. Unlike traditional chatbots that function as advisors generating text, Moltbot operates as an autonomous agent that can execute shell commands, manage files, and automate browser operations on the host machine.
Best 50+ Open Source AI Agents Listed in 2026
Everyone has been building AI agents so after hands-on testing with popular AI coding agents, AI agent builders and tools use benchmarks to evaluate their real-world capabilities, we put together a curated list of the best 50+ open source AI agents.
Top 10+ AI Agents in Healthcare with Examples in 2026
AI agents in healthcare are intelligent, autonomous systems that support clinicians, automate routine work, and personalize patient care by delivering data-driven insights, improving diagnostic accuracy, and enhancing both operational efficiency and patient support. We previously explained healthcare AI use cases. This article lists the AI agents for healthcare that automate workflows in clinical operations.
See All Agentic AI ArticlesBadges from latest benchmarks
Enterprise Tech Leaderboard
Top 3 results are shown, for more see research articles.
Vendor | Benchmark | Metric | Value | Year |
|---|---|---|---|---|
 X | 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 | |
 qwen-2.5-72b-instruct | 3rd Success Rate | 45 % | 2025 | |
 o1 | 1st Accuracy | 86 % | 2025 | |
o3-mini | 2nd Accuracy | 86 % | 2025 | |
claude-3.7-sonnet | 3rd Accuracy | 67 % | 2025 | |
 Bright Data | 1st Cost | 2025 | ||
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