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Discover Enterprise AI & Software Benchmarks

AI Coding Benchmark

Compare AI coding assistants’ compliance to specs and code security

AI Coding
AI Coding Benchmark

LLM Coding Benchmark

Compare LLMs is coding capabilities.

AI Coding
LLM Coding Benchmark

Cloud GPU Providers

Identify the cheapest cloud GPUs for training and inference

AI Hardware
Cloud GPU Providers

GPU Concurrency Benchmark

Measure GPU performance under high parallel request load.

AI Hardware
GPU Concurrency Benchmark

Multi-GPU Benchmark

Compare scaling efficiency across multi-GPU setups.

AI Hardware
Multi-GPU Benchmark

AI Gateway Comparison

Analyze features and costs of top AI gateway solutions

AI Models
AI Gateway Comparison

LLM Latency Benchmark
New

Compare the latency of LLMs

New
AI Models
LLM Latency Benchmark

LLM Price Calculator

Compare LLM models’ input and output costs

AI Models
LLM Price Calculator

Text-to-SQL Benchmark

Benchmark LLMs’ accuracy and reliability in converting natural language to SQL.

AI Models
Text-to-SQL Benchmark

AI Bias Benchmark

Compare the bias rates of LLMs

AI Foundations
AI Bias Benchmark

AI Hallucination Rates

Evaluate hallucination rates of top AI models

AI Foundations
AI Hallucination Rates

Agentic RAG Benchmark

Evaluate multi-database routing and query generation in agentic RAG

RAG
Agentic RAG Benchmark

Embedding Models Benchmark

Compare embedding models accuracy and speed.

RAG
Embedding Models Benchmark

Hybrid RAG Benchmark

Compare hybrid retrieval pipelines combining dense & sparse methods.

RAG
Hybrid RAG Benchmark

Open-Source Embedding Models Benchmark

Evaluate leading open-source embedding models accuracy and speed.

RAG
Open-Source Embedding Models Benchmark

RAG Benchmark

Compare retrieval-augmented generation solutions

RAG
RAG Benchmark

Vector DB Comparison for RAG

Compare performance, pricing & features of vector DBs for RAG

RAG
Vector DB Comparison for RAG

Web Unblocker Benchmark

Evaluate the effectiveness of web unblocker solutions

Web Data Scraping
Web Unblocker Benchmark

Video Scrapers Benchmark
New

Analyze performance of Video Scraper APIs

New
Web Data Scraping
Video Scrapers Benchmark

AI Code Editor Comparison

Analyze performance of AI-powered code editors

AI Coding
AI Code Editor Comparison

E-commerce Scraper Benchmark

Compare scraping APIs for e-commerce data

Web Data Scraping
E-commerce Scraper Benchmark

LLM Examples Comparison

Compare capabilities and outputs of leading large language models

AI Models
LLM Examples Comparison

OCR Accuracy Benchmark

See the most accurate OCR engines and LLMs for document automation

Document Automation
OCR Accuracy Benchmark

Screenshot to Code Benchmark

Evaluate tools that convert screenshots to front-end code

AI Coding
Screenshot to Code Benchmark

SERP Scraper API Benchmark

Benchmark search engine scraping API success rates and prices

Web Data Scraping
SERP Scraper API Benchmark

Handwriting OCR Benchmark

Compare the OCRs in handwriting recognition.

Document Automation
Handwriting OCR Benchmark

Invoice OCR Benchmark

Compare LLMs and OCRs in invoice.

Document Automation
Invoice OCR Benchmark

AI Reasoning Benchmark

See the reasoning abilities of the LLMs.

AI Foundations
AI Reasoning Benchmark

Speech-to-Text Benchmark

Compare the STT models' WER and CER in healthcare.

GenAI Applications
Speech-to-Text Benchmark

Text-to-Speech Benchmark

Compare the text-to-speech models.

GenAI Applications
Text-to-Speech Benchmark

AI Video Generator Benchmark

Compare the AI video generators in e-commerce.

GenAI Applications
AI Video Generator Benchmark

Tabular Models Benchmark
New

Compare tabular learning models with different datasets

New
AI Models
Tabular Models Benchmark

LLM Quantization Benchmark
New

Compare BF16, FP8, INT8, INT4 across performance and cost

New
AI Models
LLM Quantization Benchmark

Multimodal Embedding Models Benchmark
New

Compare multimodal embeddings for image–text reasoning

New
RAG
Multimodal Embedding Models Benchmark

LLM Inference Engines Benchmark
New

Compare vLLM, LMDeploy, SGLang on H100 efficiency

New
AI Hardware
LLM Inference Engines Benchmark

LLM Scrapers Benchmark
New

Compare the performance of LLM scrapers

New
Web Data Scraping
LLM Scrapers Benchmark

Visual Reasoning Benchmark
New

Compare the visual reasoning abilities of LLMs

New
AI Models
Visual Reasoning Benchmark

AI Providers Benchmark
New

Compare the latency of AI providers

New
AI Foundations
AI Providers Benchmark

Latest Insights

Inside the OpenClaw Ecosystem: 8 AI Agent-Driven Platforms

Agentic AIFeb 4

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.

Agentic AIFeb 4

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.

Agentic AIFeb 3

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.

Agentic AIJan 30

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 Articles

Enterprise Tech Leaderboard

Top 3 results are shown, for more see research articles.

Filter
Category
Year
Metric
Latency
Value
2.00 s
Year
2025
Metric
Latency
Value
3.00 s
Year
2025
Metric
Latency
Value
11.00 s
Year
2025
LMMs
1st
llama-4-maverick
Metric
Success Rate
Value
56 %
Year
2025
LMMs
2nd
claude-4-opus
Metric
Success Rate
Value
51 %
Year
2025
LMMs
3rd
qwen-2.5-72b-instruct
Metric
Success Rate
Value
45 %
Year
2025
Metric
Accuracy
Value
86 %
Year
2025
AI Code Models
2nd
o3-mini
Metric
Accuracy
Value
86 %
Year
2025
AI Code Models
3rd
claude-3.7-sonnet
Metric
Accuracy
Value
67 %
Year
2025
SERP API
1st
Nimble
Metric
Response Time
Value
6.16 ms
Year
2025

Vendor
Benchmark
Metric
Value
Year
X
X
1st
Latency
2.00 s2025
SambaNova
SambaNova
2nd
Latency
3.00 s2025
Together.ai
Together.ai
3rd
Latency
11.00 s2025
llama-4-maverick
llama-4-maverick
1st
Success Rate
56 %2025
claude-4-opus
claude-4-opus
2nd
Success Rate
51 %2025
qwen-2.5-72b-instruct
qwen-2.5-72b-instruct
3rd
Success Rate
45 %2025
o1
o1
1st
Accuracy
86 %2025
o3-mini
o3-mini
2nd
Accuracy
86 %2025
claude-3.7-sonnet
claude-3.7-sonnet
3rd
Accuracy
67 %2025
Nimble
Nimble
1st
Response Time
6.16 ms2025

Data-Driven Decisions Backed by Benchmarks

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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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