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Independent Enterprise AI & Software Benchmarks

AIMultiple is 100% employee owned. AIMultiple's independent enterprise AI benchmarks are funded by its data subscribers.

AIM Indices

Top model
Claude Opus 5
Score 63.9
Best value
GPT-5.6 Luna
$0.016 / task
Fastest
GPT-5.6 Terra
94 s average
Trusted by leading media and institutions
Business Insider
DHL
European Commission
IBM
IT Brew
The Washington Post
World Economic Forum
Business Insider
DHL
European Commission
IBM
IT Brew
The Washington Post
World Economic Forum
Agentic Coding Benchmark

Compare and see the differences between AI Code editors, and CLI Agents

AI Coding
Agentic 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

Compare the latency of LLMs

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 Benchmark

Evaluate hallucination rates of AI models

AI Models
AI Hallucination Benchmark
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
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 and features of vector DBs for RAG

RAG
Vector DB Comparison for RAG
Agentic Frameworks Benchmark

Compare latency and completion token usage for agentic frameworks

Agentic AI Frameworks
Agentic Frameworks Benchmark
Tiktok Scraping

Analyze performance of TikTok Scraper APIs

Web Data Scraping
Tiktok Scraping
Web Unblocker Benchmark

Evaluate the effectiveness of web unblocker solutions

Web Data Scraping
Web Unblocker Benchmark
Video Scrapers Benchmark

Analyze performance of Video Scraper APIs

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
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
Tabular Models Benchmark

Compare tabular learning models with different datasets

AI Models
Tabular Models Benchmark
LLM Quantization Benchmark

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

AI Models
LLM Quantization Benchmark
Multimodal Embedding Models Benchmark

Compare multimodal embeddings for image–text reasoning

RAG
Multimodal Embedding Models Benchmark
LLM Inference Engines Benchmark

Compare vLLM, LMDeploy, SGLang on H100 efficiency

AI Hardware
LLM Inference Engines Benchmark
LLM Scrapers Benchmark

Compare the performance of LLM scrapers

Web Data Scraping
LLM Scrapers Benchmark
Visual Reasoning Benchmark

Compare the visual reasoning abilities of LLMs

AI Models
Visual Reasoning Benchmark
Agentic Orchestration Benchmark

Compare the orchestration performance of agentic frameworks

Agentic AI Frameworks
Agentic Orchestration Benchmark
AI Providers Benchmark

Compare the latency of AI providers

AI Foundations
AI Providers Benchmark
Multilingual Embedding Models Benchmark

Compare multilingual embedding models for RAG

RAG
Multilingual Embedding Models Benchmark
Reranker Benchmark

Compare reranker models for dense retrieval

RAG
Reranker Benchmark
Agentic LLM Benchmark

Compare LLMs across software development tasks.

AI Agents
Agentic LLM Benchmark
Computer Use Agents

Compare how strong UI grounding models are.

AI Agents
Computer Use Agents

Latest Benchmarks

Top 30+ AI Chip Makers: NVIDIA & Its Competitors

AI
Feature Comparison
Sep 29

Based on our experience running AIMultiple’s cloud GPU benchmark, we compare chip makers by product, availability and architecture, covering data center GPUs, mobile chips, edge accelerators and foundries. 30+ AI chip makers by category Each row names a representative product, its type and its availability. Availability distinguishes hardware offered for sale, cloud services, internal deployments

AI
Benchmark
Sep 29

AIM-Text-to-SQL Benchmark: SQL Accuracy Across 40+ LLMs

SQL accuracy is the percentage of scored queries that return the reference result. Incorrect routes and references flagged as broken are excluded. A reference query is the SQL supplied as the expected answer. Each model reaches a different set of SQL questions because scoring depends on its database choices. Differences in these subsets and execution

AI
Benchmark
Sep 29

AIM-Agentic RAG Benchmark: Routing Across 11 SQL Databases

Routing accuracy is the percentage of scored questions for which the model explicitly names the correct database in its final answer. The headline uses the 184 questions flagged as difficult by both our similarity test and a jury of three LLMs. Missing explicit declarations receive no credit. Database routing findings Opus 5.5 recorded the highest

AI
Benchmark
Sep 28

Bias in AI: Examples and 6 Ways to Fix it

Because LLMs learn from human-generated text, they can absorb its biases, which matters when they screen candidates, assess risk, or support decisions. We benchmarked 32 models on bias questions spanning gender, race/ethnicity, age, appearance, religion, socioeconomic status, sexual orientation, and disability, each designed so that “cannot be determined” is the only defensible answer. Every question

See All AI Articles

Latest Insights

Top 8 Methods for Audio Sentiment Analysis

AI
Insight
Sep 28

As the number of consumers increases and users’ data accumulates daily, a data explosion is no surprise. Companies use data collection and analytics to improve sales, customer insights, or brand reputation. Even though voice data is the most direct feedback businesses receive from customers, they often overlook its importance. To better understand how customers evaluate

AI
Open World Evaluation
Sep 28

Banking Chatbots: 7 Tools & Use Cases

Industries that prioritize customer service face rising costs as demand for excellent service grows. Banking chatbots let customers complete transactions by voice or text, reducing operational costs and improving customer satisfaction. We compiled the top 7 chatbots with financial literacy, including their features, comparisons, and best practices for deployment to address cost and service concerns.

AI
Open World Evaluation
Sep 28

20 Chatbot Companies To Deploy

With 200+ chatbot platforms on the market, the choice isn’t obvious. The right vendor depends on three things: how your team wants to build (drag-and-drop vs. code), which systems you need to connect to, and how much conversation volume you’re actually handling. We compared the 20 most widely used chatbot platforms for building production applications.

AI
Insight
Sep 28

Generative AI Copyright: Law & Litigation

We reviewed court decisions, regulatory actions, and licensing agreements to answer three key questions about generative AI and copyright. 1. Can copyright-protected data be used as training data? United States Sony Music Publishing and Warner Chappell sue Anthropic In August 2026, Anthropic faced further copyright litigation from major music publishers. Sony Music Publishing and Warner

See All AI Articles

Enterprise Tech Leaderboard

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

Tiktok Scraping
1st
Bright Data
Metric
Success Rate
Value
100 %
Metric
Success Rate
Value
99 %
Metric
Success Rate
Value
95 %
Metric
Latency
Value
2.00 s
AI Gateways
2nd
SambaNova
Metric
Latency
Value
3.00 s
AI Gateways
3rd
Together.ai
Metric
Latency
Value
11.00 s
Metric
Response Time
Value
1.75 s
Web Unlockers
2nd
Bright Data
Metric
Response Time
Value
2.38 s
Web Unlockers
3rd
Decodo
Metric
Response Time
Value
3.43 s
Amazon Scraping
1st
Bright Data
Metric
Overall
Value
Leader

Vendor
Benchmark
Metric
Value
Bright Data
Bright Data
1st
Success Rate
100 %
Apify
Apify
2nd
Success Rate
99 %
Decodo
Decodo
3rd
Success Rate
95 %
Groq
Groq
1st
Latency
2.00 s
SambaNova
SambaNova
2nd
Latency
3.00 s
Together.ai
Together.ai
3rd
Latency
11.00 s
Zyte
Zyte
1st
Response Time
1.75 s
Bright Data
Bright Data
2nd
Response Time
2.38 s
Decodo
Decodo
3rd
Response Time
3.43 s
Bright Data
Bright Data
1st
Overall
Leader

Data-Driven Decisions Backed by Benchmarks

Insights driven by 43,680 engineering hours per year

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Fortune 500 companies trust AIMultiple to guide their procurement decisions every month. 4 million businesses rely on AIMultiple every year according to Similarweb.

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.

Increase Your Confidence in Tech Decisions

We are independent, 100% employee-owned and disclose all our sponsors and conflicts of interests. See our commitments for objective research.