GPTCrunch Blog
In-depth analysis, comparisons, and guides for choosing the right AI model. Written for developers, teams, and decision-makers.
GPT-4o vs Claude 3.5 Sonnet: Which AI Model Should You Choose in 2026?
A detailed head-to-head comparison of OpenAI's GPT-4o and Anthropic's Claude 3.5 Sonnet covering benchmarks, pricing, context windows, and real-world performance. We break down exactly where each model excels so you can make the right call for your project.
The Complete Guide to AI Model Pricing: Understanding Token Costs
Tokens are the fundamental unit of AI pricing, but how they translate to real costs is surprisingly nuanced. This guide explains input vs output pricing, batch discounts, and practical strategies for keeping your AI bill under control.
Open Source vs Closed Source AI Models: A Comprehensive Analysis
The gap between open source and closed source AI models has narrowed dramatically. This analysis compares Llama 3, Mistral, and Qwen against GPT-4o, Claude, and Gemini across performance, cost, privacy, and customizability.
How to Choose the Best AI Model for Your Use Case
With hundreds of AI models available, choosing the right one can be overwhelming. This decision framework breaks down model selection by task type, budget, latency requirements, and data privacy needs, with specific recommendations for every common use case.
AI Benchmarks Explained: What MMLU, HumanEval, and GSM8K Actually Measure
Benchmark scores dominate AI model marketing, but what do they actually test? This guide demystifies the major benchmarks, explains their limitations, and shows you how to interpret scores without being misled.
The Rise of Reasoning Models: How o1, DeepSeek-R1, and QwQ Are Changing AI
A new class of AI models uses extended chain-of-thought reasoning to solve problems that standard models cannot. This analysis explains how reasoning models work, compares the major players, and assesses whether the reasoning paradigm will reshape the industry.