Recommendation tool
Use the selector when you know the job to be done but not the right model. It turns goals like coding, research, chat, long-context analysis, or low-cost inference into a shortlist you can validate on Compare.
- Input
- Your workload
- Output
- Ranked shortlist
- Coverage
- 503 endpoints
LLM Selector
A short wizard that recommends models based on your use case and constraints — using WhatLLM’s pricing/speed/latency + quality data.
1) Use case→2) Requirements→3) Results
When to use the selector
You have a workload, not a model in mind
This is the fastest route if you are asking “what is the best model for coding”, “which LLM should I use for research”, or “what AI model gives the best value for my budget”.
You want a shortlist before deeper comparison
The selector narrows the field. After that, use the evergreen ranking pages or open the finalists in Compare to inspect the tradeoffs in more detail.
Ranking library
Current live rankings
Focused rankings for the decisions engineers actually make.
01OverallBest AI ModelsQuality, price, speed, and context in one live ranking.Open ranking 02CodingBest LLM for CodingLiveCodeBench, Terminal-Bench, SciCode, and engineering fit.Open ranking 03OpenBest Open Source LLMOpen-weight models for self-hosting and lower-cost deployment.Open ranking 04LocalBest Local LLMModels mapped to Mac, RTX, workstation, and server hardware.Open ranking 05Local codingBest Local LLM for CodingCoding strength filtered through realistic hardware limits.Open ranking 06OllamaBest Ollama ModelsLow-friction local models for coding, reasoning, and chat.Open ranking 07ContextLargest Context Window LLMLong documents, codebases, and retrieval-heavy work.Open ranking 08AgentsBest Agentic ModelsTool use, multi-step execution, and autonomous workflows.Open ranking