By Quad Chat · Published · Last updated

How to Compare AI Models Side by Side

To compare AI models fairly, send the same complete prompt to two or three models at once, decide what a good answer looks like before you read them, and judge the differences against that checklist. In Quad Chat the comparison is built into the composer: you pick up to three models, send once, and the answers appear next to each other in the same conversation.

Direct answer: Open the Compare control in the Quad composer, choose 1, 2 or 3 models, write one prompt and send it. Read the answers side by side, note where they disagree, verify the claims that matter, then continue with the model or answer you trust. You need a free Quad account, and comparison is not available in incognito chats.

Why compare at all

Public benchmarks describe models in general. They do not tell you which model handles your contracts, your codebase or your tone of voice. Running your own prompt through several models is the quickest way to find out, and the disagreements are the useful part: where two strong models differ, you have found the claim that needs checking.

Comparison is not always worth it. A routine rewrite rarely needs three answers, and each answer is its own generation that uses part of your plan's allowance. Save it for decisions, unfamiliar technical work, high-stakes writing and research summaries.

How comparison works in Quad Chat

  1. Open Compare. In the composer, open the Compare models control.
  2. Choose how many. Pick 1, 2 or 3 models. Each numbered slot has its own model selector, so you can mix providers, for example GPT-6, Claude Sonnet 5.5 and Gemini 3.1.
  3. Send one prompt. The same message, attached files and conversation history go to every selected model.
  4. Read the answers together. On a desktop-width screen the answers sit in two or three columns. On a phone each answer is a card you swipe between.
  5. Keep going. Each answer has its own actions, including copy, retry and branching the conversation from that model's reply.

A few details are worth knowing:

Choose models that differ on purpose

Three near-identical models teach you little. Pick models that differ along a dimension you care about:

Dimension Example pairing What you learn
Provider One GPT, one Claude, one Gemini model Whether the answer depends on a lab's habits
Tier A flagship model next to a lightweight one from the same family Whether the premium buys anything for this task
Cost A budget model next to a premium model Where you can safely use the cheaper one
Context A long-context model on a large document Whether details survive a long input

The per-token pricing guide shows how wide the cost gap between tiers can be, which is a good reason to test the tier question first.

A repeatable method

1. Write one complete prompt

Include the goal, the audience, the format and any source material. If one model gets more context than another, you are testing your prompt, not the models.

2. Decide your criteria first

Write down three to five things a good answer must do before you read anything. That keeps the first answer you read from setting the standard.

Task Criteria worth writing down
Decision memo Assumptions stated, risks named, a clear recommendation
Code review Correct fixes, edge cases, no invented APIs
Research summary Claims tied to sources, uncertainty flagged
Marketing draft Specific claims, on-brand voice, nothing unsupported
File analysis Quotes and numbers match the document
Study explanation Clear steps, correct examples

3. Read for disagreement, not for a winner

Mark where the answers differ in facts, recommendations or assumptions. Agreement between independent models raises confidence a little. Disagreement tells you where to spend your verification time.

4. Verify what matters

A model can be fluent and wrong. Check important numbers, quotations and citations against primary sources, and ask for sources when you search the web.

5. Decide and record

Pick the answer to use, or ask one model to merge the strongest parts while resolving the disagreements you found. Then note which model suited this task type, so next time you can use it directly instead of comparing again.

Common mistakes

Comparing other tools

Side-by-side tools exist outside Quad, and some are built only for comparison. If that is the only feature you need, see how Quad compares with ChatHub. For a walkthrough aimed at three specific model families, read how to compare ChatGPT, Claude and Gemini side by side.

Summary

Comparing models is a decision step. Send one prompt, write your criteria before reading, choose models that differ for a reason, focus on disagreements and verify what matters. Quad puts up to three models in one composer and one conversation, so the comparison and the follow-up work stay together.

Try Quad Chat free ->

Compare behavior in this guide was checked against Quad's current product on October 5, 2026. Features and plan access can change.

See also: Compare ChatGPT, Claude and Gemini side by side | Use ChatGPT and Claude together | All AI app comparisons

Frequently asked questions

How do I compare AI models side by side in Quad Chat?

Open the Compare models control in the composer, choose two or three models, then send one prompt. The answers appear next to each other in the same conversation, and you can continue with the model you trust.

How many models can I compare at once?

Up to three. Each slot has its own model selector, and picking the same model twice counts once. Which models you can choose depends on your plan, and comparison needs a signed-in account outside incognito chats.

Does comparing models use more credits?

Yes. Each answer is its own generation, so three models use more of your allowance than one. The model picker shows a credit estimate before you send, which helps you decide when a comparison is worth it.