Nazlı Şipi

Jul 8

LLM Latency Benchmark by Use Cases in 2026

We benchmarked 11 top large language models with a total of 1,320 requests, splitting reasoning and non-reasoning models, and measured first-token latency, per-token latency, and overall response time. You can find details on how we measured latency here. We report reasoning and non-reasoning models separately. Reasoning models spend several seconds thinking before the first visible…

Agentic AI

Jul 6

Top 5 Open-Source Agentic AI Frameworks in 2026

We benchmarked 4 popular open-source agentic frameworks across 2,000 runs (5 tasks, 100 runs each per framework), measuring end-to-end latency, token consumption, and architectural differences. We examined how the frameworks themselves influence agent behavior and the resulting impact on latency and token consumption. LangGraph is the fastest framework with the lowest latency values across all…

Compare Multimodal AI Models on Visual Reasoning

We benchmarked 15 leading multimodal AI models on visual reasoning using 200 visual-based questions. The evaluation consisted of two tracks: 100 chart understanding questions testing data visualization interpretation, and 100 visual logic questions assessing pattern recognition and spatial reasoning. Each question was run 5 times to ensure consistent and reliable results. See our benchmark methodology…

Top 4 Google Play Scraping Providers Compared

We benchmarked four web scraping providers across Google Play product page URLs, sending 4,000 requests in total. For each request, we measured how reliably the provider returned data, how long it took from submission to final response, and how many metadata fields the response contained. Only providers with a success rate above 90% were included…

Top 6 Apple App Store Scrapers: Bright Data, SerpAPI & Zyte

We benchmarked 6 web scraping providers against 1,000 Apple App Store pages, for a total of 6,000 requests, and measured success rate, completion time, and the number of metadata fields each provider returned. Since all providers achieved 100% success rates, we focused our comparison on the number of metadata fields returned and end-to-end response times.…

2026 Web Crawler Benchmark to Feed Websites to AI

We benchmarked four crawl APIs across three domains of varying difficulty at three max depth levels (5, 10, 20) with a 1,000-page limit, measuring crawl coverage, execution time, link discovery, markdown link quality, and title extraction accuracy. If you aim to: You can read our benchmark methodology. Firecrawl consistently crawled around 100 pages on theregister.com…

Top 6 LLM Scrapers: ChatGPT, Perplexity & Gemini

We benchmarked how the top LLM scraper providers, including Bright Data, Oxylabs, and Apify, perform at extracting outputs from LLM platforms such as ChatGPT, Gemini, Perplexity, and Google AI Mode. To ensure reliable results, we ran 1,000 tests per provider, repeating each prompt 10 times for consistency. The top-performing provider is detailed below. Providers missing…

Jun 30

Vision Language Models Compared to Image Recognition

Can advanced Vision Language Models (VLMs) replace traditional image recognition models? To find out, we benchmarked 16 leading models across three paradigms: traditional CNNs (ResNet, EfficientNet), VLMs ( such as GPT-4.1, Gemini 2.5), and Cloud APIs (AWS, Google, Azure). Mean Average Precision (mAP) served as our primary accuracy metric, supplemented by latency, cost and class-specific…