Best AI for data analysis in 2026
AI can accelerate analysis, but a persuasive narrative can still be numerically wrong. The best model shows its assumptions and produces work you can reproduce.
THE SHORT ANSWER
Choose by task, not by logo.
Use ChatGPT or Claude for complex analytical reasoning and DeepSeek for efficient SQL and code help. Require reproducible calculations, validation checks and a clear boundary between data and interpretation.
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
DeepSeek V4 Flash
Cost-efficient reasoning and coding.
- Provider
- DeepSeek
- Prima Ordia cost
- 1 credit
- Images
- Text only
01 / WHERE IT FITS
Good reasons to test these models
- Planning an analysis
- Writing and reviewing SQL
- Explaining anomalies
- Translating results for decision-makers
02 / KEEP YOUR GUARD UP
What a useful comparison must catch
- Recalculate every important number
- Check joins, filters and denominators
- Correlation is not causation
- Do not upload restricted datasets
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.
Reasoning
Can it handle constraints, expose assumptions and recover when the first approach fails?
Coding reliability
Does the code fit the requested stack, explain trade-offs and survive your tests?
Answer quality
Does the answer solve the task accurately, completely and at the right level of detail?
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
Can AI analyse data accurately?+
It can help, but calculations, queries and interpretations must be independently verified.
Which AI is best for SQL?+
ChatGPT, Claude and DeepSeek are useful candidates. Test them on queries with known correct results and realistic schema context.
Can I upload confidential data?+
Only if your organisation authorises it and the service arrangements meet your requirements. Minimise and anonymise data where possible.