Popular AI models today: how to choose a powerful LLM

What the online model popularity dashboard measures

The /models dashboard ranks models by request count on Void API over seven calendar days in UTC. It also reports input and output tokens. The period and update time are displayed alongside the statistics; data is updated every 12 hours.

The first row identifies the most requested model on this service during the stated period, not the most popular model across the entire AI market. Usage depends on user workloads, pricing, and request frequency. It does not prove that a model is best at every task.

Open the LLM popularity dashboard

Which AI model is most capable for your task?

Coding workloads need correct code and reliable tool use. Analysis needs accurate conclusions and consistent handling of constraints. Image-based tasks require support for visual input. A single universal measure of model power cannot capture all of these requirements.

Select a few relevant models and give them the same verifiable task. Compare result quality, corrections required, completion time, and total cost. Benchmarks help create a shortlist, while your own test establishes whether the model suits your workflow.

Connect models to AI coding tools

Compare popular GPT and Claude models with token pricing

The catalog lists current model IDs and prices per million input, output, and applicable cache tokens. The usage dashboard shows demand on the service. Use both to select candidates for testing rather than assuming the most expensive model is the strongest choice.

Measure the whole workload: conversation history adds input, longer answers add output, and an agent may call a model multiple times for one task. Historical usage can include models no longer present in the current catalog, so verify availability before integration.

Compare model prices and usage·Estimate your API budget

Practical AI use cases with published examples

The @voidapitech channel collects examples of AI producing usable deliverables. Published cases describe Claude rebuilding a label template from an image, preparing a travel document for a trip to China, and helping edit a 3D model. A separate guide covers job-search assistance with OpenCode and Void API.

These cases demonstrate a model combined with tools: visual input, code execution, file creation, and result verification. They describe specific workflows rather than guaranteeing the same quality or completion time for every request. The linked source posts are in Russian.

Case: label templates and PDF files·Case: travel planning·Case: 3D model editing·OpenCode for job-search assistance

AI news and model updates on Telegram

The Void API channel publishes AI news, model updates, and practical ways to use neural networks. Follow it to discover developments and identify workflows worth testing with available models.

Use the channel for ideas and case studies, and the catalog for current availability and prices. The online dashboard measures popularity on the service; practical examples and your own tests help assess a model for real work.

Follow Void API AI news and use cases (Russian)

Frequently asked questions

More guides to LLM API access

LLM API from Russia: one AI API aggregator·How to buy LLM API access and estimate your costs·How to try an AI API for free with promo credit·LLM subscription or pay-as-you-go API access from Russia