openrouter-trending-models

This skill provides a high-fidelity interface to OpenRouter's programming model rankings, enabling developers and agents to make data-driven decisions about which LLMs to utilize for specific tasks. By leveraging the OpenRouter Models API, the skill fetches structured data regarding the top 9 most-used models in the programming category, providing clarity on model IDs, token capacity, context window constraints, and detailed pricing structures. This allows users to perform cost-benefit analysis, ensuring that project workflows remain performant and budget-efficient.

• Real-time aggregation of OpenRouter trending programming models, including names, IDs, and rank.

• Detailed token usage statistics for the most recent week to identify industry-standard coding tools.

• Comprehensive model specifications covering total context length and maximum completion tokens.

• Granular pricing insights, including prompt and completion costs per token and per 1 million tokens, facilitating budget planning.

• Summary analytics including the top provider, average context window sizes, and price range distributions across the trending list.

• Utilize this tool for multi-model review workflows, where selecting the right model balance between capability and cost is critical for project success.

• Ideal for documentation maintenance, keeping agent system prompts and README files synchronized with the latest model advancements.

• Useful for automated cost-optimization strategies, such as filtering for high-context models that fall below specific pricing thresholds.

• Executes as a lightweight Bun script, returning structured JSON output that is easily parsed by CLI tools like jq or integrated directly into agentic workflows.

• Note that data is updated weekly; ensure your integration accounts for this refresh frequency to keep recommendations accurate.

• The tool is designed for developers, architects, and DevOps engineers who manage AI-assisted development pipelines and need to reconcile performance with API costs.