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Compare LLM benchmarks, pricing, and recommendations for better model selection.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "io.github.Daichi-Kudo/llm-advisor" MCP server from askskill: Run: claude mcp add 'io-github-daichi-kudo-llm-advisor' -- npx -y llm-advisor-mcp
Using real-time benchmarks, pricing, and recommendations, help me find LLMs for a customer support bot. Requirements: fast responses, low cost, stable English performance. Provide 3 candidate models and why they fit.
A shortlist of suitable models with performance, pricing, and recommendation rationale.
Compare multimodal models for image-and-text understanding, focusing on pricing, benchmark performance, and availability. Recommend the best option for a small or mid-sized team pilot.
A comparison of multimodal models with a balanced recommendation for quality and budget.
I’m adding an AI text generation feature to a product. Based on the latest model rankings, pricing, and recommendations, suggest options across quality, latency, and cost control.
Model recommendations organized by different priorities to support product decisions.
Get LLM provider recommendations, pricing, and service status insights.
Discover live models and pricing to route tasks to compatible low-cost LLMs.
Get real-time AI model pricing, capabilities, and context window details.
Search live LLM pricing, compare models, and estimate usage costs.
Count tokens and estimate costs across many LLMs for planning and budgeting.
Safely let your AI run code, query databases, use LMs, and commit to GitHub.