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

Latest Benchmarks
Top 10 Multilingual Embedding Models for RAG
We benchmarked 10 multilingual embedding models on ~606k Amazon reviews across 6 languages (German, English, Spanish, French, Japanese, Chinese). We generated 1,800 queries (300 per language), each referencing concrete details from its source review.
10+ Large Language Model Examples & Benchmark
We have used open-source benchmarks to compare top proprietary and open-source large language model examples. You can choose your use case to find the right model. Comparison of the most popular large language models We have developed a model scoring system based on three key metrics: user preference, coding, and reliability.
Top 20+ Agentic RAG Frameworks
Agentic RAG enhances traditional RAG by boosting LLM performance and enabling greater specialization. We conducted a benchmark to assess its performance on routing between multiple databases and generating queries. Explore agentic RAG frameworks and libraries, key differences from standard RAG, benefits, and challenges to unlock their full potential.
Embedding Models: OpenAI vs Gemini vs Cohere
The effectiveness of any Retrieval-Augmented Generation (RAG) system depends on the precision of its retriever. We benchmarked 11 leading text embedding models, including those from OpenAI, Gemini, Cohere, Snowflake, AWS, Mistral, and Voyage AI, using ~500,000 Amazon reviews.
See All AI ArticlesLatest Insights
Top Tools & Use Cases of Sentiment Analysis Marketing
“This was great!” “I had a horrible experience.” The sentiments in these sentences can be inferred from certain words, such as “great” and “horrible”. By analyzing the sentiments of reviews, feedback, and other customer interactions, businesses can improve their marketing campaigns.
AI Chatbot Pricing: Chatbot Cost Comparison
Chatbots reduce customer support costs while maintaining 24/7 availability. With generative AI chatbots like ChatGPT, more businesses are adopting them. Ambiguous pricing models create barriers to adoption. Here’s what chatbot platforms actually cost, explained clearly.
Benchmark Best 30 AI Governance Tools in 2026
We analyzed ~20 AI governance tools and ~40 MLOps platforms that deliver AI governance capability to identify the market leaders based on quantifiable metrics. Click the links below to explore their profiles: Compare AI governance software AI governance tools landscape below shows the relevant categories for each tool mentioned in the article.
ChatGPT for Customer Service: Top 10 Use Cases
ChatGPT has become one of the most talked-about AI tools in business. Companies are finding practical ways to use it in customer service, though results vary widely depending on how it’s implemented. Below is what actually works, what doesn’t, and how real businesses are putting it to use.
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 | |
o1 | 1st Accuracy | 86 % | 2025 | |
o3-mini | 2nd Accuracy | 86 % | 2025 | |
claude-3.7-sonnet | 3rd Accuracy | 67 % | 2025 | |
Zyte | 1st Response Time | 1.75 s | 2025 | |
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