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
Text-to-SQL: Comparison of LLM Accuracy
I have relied on SQL for data analysis for 18 years, beginning in my days as a consultant. Translating natural-language questions into SQL makes data more accessible, allowing anyone, even those without technical skills, to work directly with databases.
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.
AGI/Singularity: 9,300 Predictions Analyzed
Artificial general intelligence (AGI/singularity) occurs when an AI system matches or exceeds human-level cognitive abilities across a broad range of tasks, rather than excelling in a single domain. While many researchers and experts anticipate the near-term arrival of AGI, opinions differ on its speed and development pathway.
LLM Inference Engines: vLLM vs LMDeploy vs SGLang
We benchmarked 3 leading LLM inference engines on NVIDIA H100: vLLM, LMDeploy, and SGLang. Each engine processed identical workloads: 1,000 ShareGPT prompts using Llama 3.1 8B-Instruct to isolate the true performance impact of their architectural choices and optimization strategies.
See All AI ArticlesLatest Insights
World Foundation Models: 10 Use Cases
Training robots and autonomous vehicles (AVs) in the physical world can be costly, time-consuming and risky. World Foundation Models offer a scalable alternative by enabling realistic simulations of real-world environments. These models accelerate development and deployment in robotics, AVs, and other domains by reducing reliance on physical testing.
Time Series Foundation Models: Use Cases & Benefits
Time series foundation models (TSFMs) build on advances in foundation models from natural language processing and vision. Using transformer-based architectures and large-scale training data, they achieve zero-shot performance and adapt across sectors such as finance, retail, energy, and healthcare.
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.
AP AI Applications & Tools for Accounts Payable Processes
AI eliminates the inefficiencies that plague manual AP, like fraud risk, data errors, slow payment cycles, and a lack of spending visibility. By implementing these AP AI tools, your finance team can achieve massive cost savings, boost compliance, and gain the strategic insights needed for better cash management.
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 | |
 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 | |
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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