A large-scale ranking of language models and neural networks has been published, covering more than 200 current AI systems.

AI Release 💡 A large-scale ranking of language models and neural networks has been published, covering more than 200 current AI systems. The roundup includes flagship models such as GPT-5, Claude and Gemini, as well as lesser-known open-source and niche solutions. For each model, the results of standardized benchmarks are provided, allowing models to be compared on a single scale. In addition to answer quality, the authors collected data on API pricing, which is critically important for practical use. Key characteristics are also listed: context size, supported modalities, inference speed and limitations. This is the first attempt this comprehensive to map the AI market in 2026, when the number of new models is growing exponentially. The ranking will be useful for developers choosing a model for specific tasks and budgets. Product managers will be able to assess the price-to-quality ratio when integrating AI into commercial products. For researchers, the ranking provides an overview of the current state of technology and the gap between open and proprietary models. Moreover, benchmark data helps identify model specialization: some excel at code, others at reasoning or multimodal tasks. The publication will lead to more informed tool choices and increased competition among providers. The ranking also highlights the trend toward cheaper APIs and the growing efficiency of small models. Overall, it is an important reference point for anyone following AI development and planning to use neural networks in their work. 2 views 11:40

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