Can I use this to find models with specific context window sizes?

Absolutely. The skill returns the 'contextLength' for every model, allowing you to filter for high-context models like Gemini or Grok.

How often is the model ranking data updated?

The data is fetched directly from OpenRouter, which typically updates its public rankings on a weekly basis.

How does this improve multi-model code reviews?

Instead of using hardcoded model lists, your agent can use this skill to dynamically select the currently most popular or cost-effective models for every review.

What is the primary source of this data?

The data is aggregated from OpenRouter's public programming rankings and their official Models API.

Does this skill provide pricing for both input and output tokens?

Yes, the skill provides detailed pricing for both prompts (input) and completions (output), including per-token and per-1-million-token costs.

OpenRouter Trending Models

Name: OpenRouter Trending Models
Author: MadAppGang

byMadAppGang

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177

Ciencia de Datos y ML

Fetches and analyzes real-time rankings of the most popular programming AI models to optimize model selection and cost.

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This skill provides a programmatic way to access OpenRouter's trending programming models, offering deep insights into the current AI landscape. It retrieves essential data for the top 9 most-used models, including context window sizes, detailed pricing per million tokens, and weekly usage statistics. By integrating this skill, developers can automate the selection of high-performing models for multi-model reviews, perform cost-benefit analysis between providers, and ensure their agent workflows are always utilizing the most relevant and efficient LLMs available.

Características Principales

Provides technical specifications including context length and max completion tokens
Retrieves rankings for the top 9 trending programming models on OpenRouter
Outputs structured JSON optimized for integration with automated agent workflows
Delivers precise pricing data for prompt and completion tokens in USD
Generates summary statistics including top providers and average price ranges
177 GitHub stars

Casos de Uso

Cost optimization by identifying the most affordable high-context models for specific tasks
Dynamic selection of trending models for multi-model code review pipelines
Automated maintenance of README files with up-to-date model recommendations

Acerca de

Características Principales

Provides technical specifications including context length and max completion tokens
Retrieves rankings for the top 9 trending programming models on OpenRouter
Outputs structured JSON optimized for integration with automated agent workflows
Delivers precise pricing data for prompt and completion tokens in USD
Generates summary statistics including top providers and average price ranges
177 GitHub stars

Casos de Uso

Cost optimization by identifying the most affordable high-context models for specific tasks
Dynamic selection of trending models for multi-model code review pipelines
Automated maintenance of README files with up-to-date model recommendations