작성 Jikwang Kim (maintainer)마지막 업데이트 bal.pe.kr

About · Data · Methodology

Last updated 2026-06-20 · This page documents the tool's trust (E-E-A-T) information.

What this tool is

The "AI Model Use-Case Matcher — llmpick" is a free tool that takes your task type (coding, math, long-context, creative, translation, image, summarization, agents, chat), budget (free/budget/premium), required context length, and priority (quality, speed, cost) and recommends the best LLM Top 3 among major models like GPT, Claude, and Gemini, with reasoning and a spec comparison. No signup is required and every computation runs entirely in your browser.

The goal is to cut the choice fatigue of "which AI model should I use?" and help you find not the smartest model overall but the smartest model per dollar for your task.

How matching works

Each model carries fit scores (0–10) across nine task types, plus overall intelligence, speed, context window, and input/output prices. The recommendation runs as follows.

  1. Hard filters — exclude models that do not support a selected task (e.g. text-only model + image generation), lack the required context, or exceed the budget.
  2. Fit — task fit is the average of the scores for the tasks you selected.
  3. Priority weighting — quality weights overall intelligence, speed weights the speed score, and cost weights a value score based on output-weighted blended price.
  4. Ranking — sort by the weighted score descending and recommend the top three. Ties are broken deterministically by intelligence, then identifier.

Rejected models appear under "why not these" grouped by reason (budget, context, capability) for transparency.

Data sources & updates

  • Claude family: reflects Anthropic's official specs accurately — Fable 5 $10/$50 at 1M, Opus 4.8 $5/$25 at 1M, Sonnet 4.6 $3/$15 at 1M, Haiku 4.5 $1/$5 at 200K.
  • Other vendors (GPT-5.x, Gemini, Grok, DeepSeek, Llama, Qwen, Mistral): plausible 2026 estimates based on commonly known specs.
  • Task scores: relative fit synthesized from public benchmarks and general reputation, not first-party test results.
  • Update cadence: refreshed on major launches and price changes. The market moves fast — confirm on official pages before committing.

Neutrality

This tool aims for vendor-neutral comparison and favors no provider. It receives no sponsorship or compensation from any vendor, and scores are based solely on task fit and value. Operating costs are covered by on-site advertising.

Privacy

Inputs are never sent to a server — they live only in your browser (localStorage) and in the share link (?s= token). There is no signup or personal tracking, only advertising and traffic analytics to run the site. The tool makes no model API calls (it is fully static-data based).

Disclaimer

Recommendations, scores, and prices are general reference estimates; real-world performance and cost vary by usage, prompt, and version. Before any important decision, test each model yourself and confirm official pricing and terms.

Who runs it