Discover Enterprise AI & Software Benchmarks
AI 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
AI Deep Research: Claude vs ChatGPT vs Grok in 2026
AI deep research is a feature in some LLMs that offers users a wider range of search results than AI search engines.
Best 30+ Open Source Web Agents in 2026
We tested 30+ open-source web agents across four categories: autonomous agents, computer-use controllers, web scrapers, and developer frameworks. We ran identical benchmarks using the WebVoyager test suite, which covers 643 tasks across 15 real websites, to measure which tools actually complete multi-step web tasks and which fail when sites use dynamic dropdowns or JavaScript-heavy layouts.
Agentic Search in 2026: Benchmark 8 Search APIs for Agents
Agentic search plays a crucial role in bridging the gap between traditional search engines and AI search capabilities. These systems enable AI agents to autonomously find, retrieve, and structure relevant information, powering applications from research assistance to real-time monitoring and multi-step reasoning.
Remote Browsers: Web Infra for AI Agents Compared ['26]
AI agents rely on remote browsers to automate web tasks without being blocked by anti-scraping measures. The performance of this browser infrastructure is critical to an agent’s success. We benchmarked 8 providers on success rate, speed, and features.
See All Agentic AI ArticlesLatest Insights
Inside the OpenClaw Ecosystem: 8 AI Agent-Driven Platforms
AI agents are no longer just tools that answer questions. In the OpenClaw ecosystem, they live in cities, earn money, trade, socialize, form beliefs, and sometimes take risks. We map that ecosystem, from simulated worlds and marketplaces to social networks and infrastructure that lets agents persist on their own.
Moltbook: Agent Driven Social Media [2026]
The rapid growth of OpenClaw has triggered an unusual social experiment: Moltbook, a Reddit-like social platform where agents interact with each other. Launched on the 28th of January, 2026, and started to get attention in a very short time span. It reached 1.5m+ agents in its first week.
Top 30+ Agentic AI Companies in 2026
Though AI agents are being hyped and some companies rebrand their chatbots as agentic tools, there are still a few agents in production. Previously, we benchmarked several capable AI agents over several real-world tasks.
OpenClaw (Moltbot/Clawdbot) Use Cases and Security 2026
OpenClaw (formerly Moltbot and 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, OpenClaw operates as an autonomous agent that can execute shell commands, manage files, and automate browser operations on the host machine.
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 | |
Nimble | 1st Response Time | 6.16 ms | 2025 | |
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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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