How to compare AI models fairly
A fair model test controls the input, defines success in advance and includes more than one example. It measures the finished work, not the brand or the first impressive sentence.
THE SHORT ANSWER
Choose by task, not by logo.
Choose a repeated workflow, collect five to ten examples, write an acceptance rubric, send identical prompts and score blind where possible. Include correction time and credit cost before deciding.
ChatGPT 5.6 Terra
A fast, capable ChatGPT model subsidised by Prima for free accounts.
- Provider
- OpenAI
- Prima Ordia cost
- 0 credits
- Images
- Analysis supported
Claude Sonnet 5
Strong writing, analysis and coding.
- Provider
- Anthropic
- Prima Ordia cost
- 4 credits
- Images
- Analysis supported
Gemini Flash
Fast multimodal help for everyday tasks.
- Provider
- Prima Ordia cost
- 0 credits
- Images
- Analysis supported
01 / WHERE IT FITS
Good reasons to test these models
- Choosing a model for a repeated workflow
- Building an internal AI shortlist
- Checking whether premium models add value
- Re-running tests after model updates
02 / KEEP YOUR GUARD UP
What a useful comparison must catch
- One prompt is an anecdote
- Do not change prompts mid-comparison
- Blind scoring reduces brand bias
- Keep a human-reviewed answer key where possible
03 / THE SCORECARD
Judge the finished work, not the demo.
Give every model the same context and constraints. Score each dimension from one to five, then include the time you spent correcting the answer.
Answer quality
Does the answer solve the task accurately, completely and at the right level of detail?
Reasoning
Can it handle constraints, expose assumptions and recover when the first approach fails?
Speed
Is it responsive enough for the way you actually work, including revisions?
Value
Does the result justify its credit cost for this particular task?
DON'T CHOOSE BASED ON OUR OPINION
Test them yourself.
04 / A FAIR TEST
Five rules that make the result worth trusting
- Use real work.Choose a task you repeat, not a trick question designed for a leaderboard.
- Hold the prompt constant.Same context, constraints, requested format and deadline for every model.
- Define success first.Write down what a correct, useful answer must contain before you see any output.
- Run more than one example.Include an easy, typical and difficult case so one lucky result cannot decide.
- Count correction time.The cheapest or fastest response loses if it creates more work before acceptance.
05 / COMMON QUESTIONS
What people ask
How many prompts make a fair AI comparison?+
Five to ten representative examples are a useful minimum for an initial decision; higher-risk workflows need more rigorous evaluation.
What should I score?+
Score correctness, completeness, instruction-following, usability, correction time, latency and cost.
Why compare answers side by side?+
It holds the prompt constant and makes differences in assumptions, detail and style easier to see.