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Visual Guides/Which AI Model Should I Use?
Applied AI

Which AI Model Should I Use?

Not a flowchart: a computation. State your constraints, and a live Pareto frontier of cost versus capability recomputes which models are even worth arguing about.

Move 2 different constraints (0/2)
Select a model on the frontier

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Why "which model?" is math, not a flowchart

Dominated

A model is dominated when another model is at least as capable AND at least as cheap, and strictly better on one of the two. A dominated model is never the right answer, whatever your taste: something else beats it on both axes.

On the frontier

The Pareto frontier is what remains after eliminating dominated models: every step up in capability costs real money. Your only genuine decision is where on that frontier your task sits. Constraints shrink the frontier first; preference picks last.

The capability index and prices in this guide are editable assumptions: defaults as of July 2026, list-price style estimates and generic capability tiers, not vendor-verified benchmark results. Context window, latency class, and hosting are fixed dataset attributes. Prices and scores go stale; the point is the method. Edit a capability score or price in the table below and every dot, line, and recommendation recomputes exactly.

The tradeoff explorer

Tighten a constraint and watch models drop out (they turn dim with an ×). The pink dots are the recomputed Pareto frontier of the survivors. Click a dot, or use the Select buttons in the table below, to inspect a model.

The minimum capability your task can tolerate. Raising it kills the cheap end.

Max blended price per million tokens (3:1 input:output mix). Lowering it kills the frontier end.

Latency ceiling

Interactive UIs usually need medium or faster; batch jobs tolerate slow.

How much you must fit in one request: long documents and big codebases push this up.

Privacy / hosting

Open weights means you can run it on your own hardware, so data never leaves your infrastructure.

0255075100$0.25$0.50$1.00$2.00$5.00$10.0$25.0blended price per Mtok, log scalecapability indexHaikuGem-FlashLlamaMistralGPT-miniQwenDeepSeekGem-ProSonnetGPT-FOpus
Frontier (large dot, dashed line)Passes but dominated×Fails a constraintYour selection

models passing

11/11

on the frontier

8

cheapest frontier

$0.30

The dataset: editable assumptions

Capability index and prices are editable assumptions (defaults as of July 2026). Edit a value and the chart, frontier, and statuses recompute.

modelhostinglatencycontextcapability$ in / Mtok$ out / Mtokblendedstatus
Claude Opus (frontier)Hosted APISlow200K$30.0● frontier
Claude SonnetHosted APIMedium1M$6.00● frontier
Claude HaikuHosted APIFast200K$2.00passes, dominated
GPT frontier tierHosted APISlow400K$17.5● frontier
GPT mini tierHosted APIFast128K$0.70● frontier
Gemini Pro tierHosted APIMedium1M$5.63● frontier
Gemini Flash tierHosted APIFast1M$0.85passes, dominated
Llama 70B class (open)Open weightsMedium128K$0.90passes, dominated
Mistral small (open)Open weightsFast128K$0.30● frontier
Qwen 72B class (open)Open weightsMedium256K$0.75● frontier
DeepSeek reasoning (open)Open weightsSlow128K$0.96● frontier
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