Agentic AI Benchmarks: Agent and LLM Performances
Agentic AI includes agents that execute complex tasks with minimal human supervision. We evaluated the most popular AI agents and the performance of popular LLMs on different benchmarks to find the best agent-model combination that you will need.
Explore Agentic AI Benchmarks: Agent and LLM Performances
- Agentic AIInsightSep 28
40+ Agentic AI Use Cases with Real-life Examples
Autonomous generative AI agents execute complex tasks with little or no human supervision. Agentic AI differs from chatbots and co-pilots. Unlike traditional AI, particularly generative AI, which often requires human intervention in complex workflows, agentic AI aims to autonomously navigate and optimize processes thanks to its decision-making capabilities and goal-directed behavior. AI agents serve as:…
- AI AgentsBenchmarkSep 21
AI Agent Performance: Success Rates & ROI
Recent research reveals that AI performance follows predictable exponential decay patterns, enabling businesses to forecast capabilities and differentiate between costly failures and successful ROI-generating implementations. I oversaw 12 AIMultiple benchmarks, including nearly 70 AI agents across more than 1,000 tasks. See what each benchmark measures and where limits remain: Computer use agents interact with a…
- AI AgentsSep 21
Agent benchmarks
Agent benchmark
- AI AgentsBenchmarkSep 21
Mobile AI Agents Tested Across 65 Real-World Tasks
We spent 3 days benchmarking four mobile AI agents (DroidRun, Mobile-Agent, AutoDroid, and AppAgent) across 65 real-world tasks using an Android emulator with applications such as calendar management, contact creation, photo capture, audio recording, and file operations. See benchmark results including real-world performance comparison, costs and execution times: Highest success rate (43%) with high cost…
- Agentic WebBenchmarkSep 17
Top 4 AI Search Engines Compared
Searching with LLMs has become a major alternative to Google search. We benchmarked the following AI search engines to see which one provides the most correct results: Deepseek is the leader of this benchmark, by correctly providing 57% of the data in our ground truth dataset. You can also read our AI deep research benchmark…
- AI MemoryBenchmarkSep 15
RELC-Bench: Retrieval on Long Context Benchmark
RELC-Bench (RELC-Bench: Retrieval on Long Context Benchmark) aims to measure a model’s ability to find and extract a specific numeric value from one or more documents within its context. It tests whether the model can remember and retrieve a specific fact it just saw in the input. claude-fable-5 scores 97.0% on the 100 direct-recall items,…
- Agentic FinanceBenchmarkSep 15
Top 15+ AI Financial Research Platforms for Investors
Despite thousands of available financial research tools, many investors struggle with fragmented data, time-consuming manual analysis, and limited predictive insights. AI financial research platforms use natural language processing and advanced analytics to cut research time from hours to minutes. See the top AI financial research solutions with their main services, prices and use-cases: Our experience:…
- AI AgentsInsightSep 15
AI Agent Vulnerability with 192 Real-life Incidents
Understanding how AI agent vulnerability makes systems fail, whether through security exploits, guardrail breakdowns, or data exposure, has become critical as these systems take on increasingly autonomous roles in business workflows. To map the real-world risk landscape of AI agents, we reviewed 192 documented vulnerability incidents spanning March 2016 to May 2026, drawing on sources.…