How to Compare AI Models

Don't pick benchmark tasks. Pick the actual work you do:

• Drafting a customer email.
• Reviewing a piece of code you'd actually run.
• Summarising a document you'd actually read.
• Brainstorming names for an actual product.

If you don't use AI for that task in real life, don't include it in the test.

Use AskAI.free to run the same prompt across ChatGPT 4o, Claude Sonnet 4, and Gemini 2.5 Pro in the same session. Same prompt, same context — only the model changes.

For coding-heavy work, also include DeepSeek R1 (a reasoning model). For research-heavy work, include Perplexity.

Copy each answer to a doc with model names hidden. Read all of them. Rank them on:

• Was it correct?
• Did it actually do what I asked, or what it thought I meant?
• Did the tone match the audience?
• How much editing would I need before sending/using it?

Reveal the model names after ranking. You'll often be surprised — the model with the loudest marketing isn't usually the best for your task.

Average performance is not what you care about. You care about worst-case performance — how badly does the model fail on the trickiest 10% of tasks?

Include in your test: a task with subtle ambiguity, a task that requires saying "I don't know," a task with a politically sensitive angle. The model that gracefully handles edge cases is the right daily driver.

For tasks where you need 50 outputs a day, speed and cost matter as much as quality. Reasoning models are slower; ChatGPT 4o is the fastest among the flagships.

On AskAI.free, all models share your monthly token allowance — so picking a more expensive model means fewer total questions. Match the model to the task: don't waste Claude Sonnet 4 tokens on "summarise this email."

Models update. The leader in January is often dethroned by July. Set a recurring reminder to re-run your comparison and update your defaults.

For a head start, our comparison hub stays current with the latest model verdicts across the most common tasks.