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LLM Use Cases, Analyses & Benchmarks

LLMs are AI systems trained on vast text data to understand, generate, and manipulate human language for business tasks. We benchmark performance, use cases, cost analyses, deployment options, and best practices to guide enterprise LLM adoption.

Github Stars of Open-Source Multimodal Models

Analyzed 2021–2025 growth of open-source multimodal models like LLaVA, CLIP, and CogVLM.

Cost comparison of AI gateways

Compared AI gateway costs for Llama 4 Scout using 1M input/output tokens.

First token latency comparison of AI gateways

Benchmarked AI gateways with 50 short and long prompts, successful runs only.

Text-to-SQL Benchmark

Benchmarked 24 LLMs on converting questions to SQL, assessing accuracy and common errors.

Explore LLM Use Cases, Analyses & Benchmarks

Large Multimodal Models (LMMs) vs LLMs

LLMsSep 26

We evaluated the performance of Large Multimodal Models (LMMs) in financial reasoning tasks using a carefully selected dataset. By analyzing a subset of high-quality financial samples, we assess the models’ capabilities in processing and reasoning with multimodal data in the financial domain. The methodology section provides detailed insights into the dataset and evaluation framework employed.

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LLMsSep 25

Compare Top 12 LLM Orchestration Frameworks

Leveraging multiple LLMs concurrently demands significant computational resources, driving up costs and introducing latency challenges. In the evolving landscape of AI, efficient LLM orchestration is essential for optimizing performance while minimizing expenses.  Explore key strategies and tools for managing multiple LLMs effectively.

LLMsSep 24

Compare 10+ LLMs in Healthcare

Large language models (LLMs) are increasingly being applied in healthcare to support clinical tasks such as medical question answering, patient communication, and summarizing medical records.

LLMsSep 24

LLM Parameters: GPT-5 High, Medium, Low and Minimal

New LLMs, such as OpenAI’s GPT-5 family, come with different versions (e.g., GPT-5, GPT-5-mini, and GPT-5-nano) and various parameters, including high, medium, low, and minimal. Below, we explore the differences between these versions of the models by gathering their benchmark performances and the costs to run these benchmarks. Price vs.

LLMsSep 24

LLM Latency Benchmark by Use Cases

The effectiveness of large language models (LLMs) is determined not only by their accuracy and capabilities but also by the speed at which they engage with users. We benchmarked the performance of leading language models across various use cases, measuring their responsiveness to user input.

LLMsSep 24

Top 5 AI Gateways for OpenAI: OpenRouter Alternatives

The growing number of LLM providers creates significant API management hurdles. AI gateways address this complexity by acting as a central routing point, enabling developers to interact with multiple providers through a single, unified API, thereby simplifying development and maintenance.

LLMsSep 23

Benchmark 30 Finance LLMs: GPT-5, Gemini 2.5 Pro & more

Large language models (LLMs) are transforming finance by automating complex tasks such as risk assessment, fraud detection, customer support, and financial analysis. Benchmarking finance LLM can help identify the most reliable and effective solutions.

LLMsSep 22

Large Language Models in Cybersecurity

Large language models (LLMs) are increasingly applied across cybersecurity domains, including threat intelligence, vulnerability detection, anomaly analysis, and red teaming. These applications are supported by both specialized cybersecurity LLMs and general-purpose models.

LLMsSep 22

Audience Simulation: Can LLMs Predict Human Behavior?

In marketing, evaluating how accurately LLMs predict human behavior is crucial for assessing their effectiveness in anticipating audience needs and recognizing the risks of misalignment, ineffective communication, or unintended influence.

LLMsSep 19

10+ Large Language Model Examples & Benchmark

We have used open-source benchmarks to compare top proprietary and open-source large language model (LLM) examples. You can choose your use case to find the right model for it. 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.

LLMsSep 19

Large Language Model Evaluation: 10+ Metrics & Methods

Large Language Model evaluation (i.e., LLM eval) refers to the multidimensional assessment of large language models (LLMs). Effective evaluation is crucial for selecting and optimizing LLMs. Enterprises have a range of base models and their variations to choose from, but achieving success is uncertain without precise performance measurement.

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