GPT-5.2vsClaude Sonnet 4.5Data Analysis

GPT-5.2 vs Claude Sonnet 4.5 for Data Analysis

Which model turns raw data into actionable insights faster? We compare GPT-5.2 and Claude Sonnet 4.5 on five data analysis dimensions.

I want to try nowAll modelsOpen docs

You only pay credits per request. No monthly subscription. Paid credits never expire.

Replace multiple AI subscriptions with one wallet that includes routing, failover, and optimization.

First success in 60 seconds
Step 01Sign up in 10 secondsGet 40 free creditsStep 02Open your dashboardCreate API keyStep 03Send first requestRun a sample
Why teams start here first
No monthly subscription
Pay-as-you-go credits
Start with trial credits, then buy only what you consume.
Failover safety
Production-ready routing
Auto fallback across providers when latency, quality, or reliability changes.
Data control
Your policy, your choice
BYOK and zero-retention mode keep training and storage scope explicit.
Single API experience
One key, multi-provider access
Use Chat/Compare/Blend/Judge/Failover from one dashboard.
0
GPT-5.2
2
Tie
3
Claude Sonnet 4.5
Evidence snapshot

GPT-5.2 vs Claude Sonnet 4.5 for data analysis

Task-specific scoring for data analysis workloads across 5 dimensions.

GPT-5.2 wins
0
data analysis dimensions
Claude Sonnet 4.5 wins
3
data analysis dimensions
Dimensions tested
5
task-specific checks
Winner
Claude Sonnet 4.5
for data analysis
Head-to-head for data analysis
DimensionGPT-5.2Claude Sonnet 4.5Edge
Pattern RecognitionIdentifies trends and anomalies quickly. Good at spotting correlations in tabular data.More thorough at identifying subtle patterns and potential confounding variables. Better at qualifying findings.
SQL & Query GenerationGenerates correct SQL for most common query patterns. Strong at complex JOINs and window functions.Equally strong on SQL syntax. Better at optimizing queries and suggesting indexes for large datasets.tie
Statistical ReasoningApplies standard tests correctly. Better at explaining results in business-friendly language.More rigorous about assumptions and test prerequisites. Less likely to apply an inappropriate statistical test.
Data CleaningGood at suggesting cleaning transformations. Generates working pandas/SQL code for common operations.Better at identifying data quality issues proactively and handling edge cases like mixed encodings and inconsistent formats.
Insight SynthesisProduces clear, actionable summaries. Better at framing findings for non-technical stakeholders.More nuanced insights with appropriate caveats. Better at connecting findings across multiple data sources.tie

Which should you pick for data analysis?

AChoose GPT-5.2

Pick GPT-5.2 for exploratory data analysis, generating quick dashboards, and presenting findings to business stakeholders who need clear, jargon-free summaries.

BChoose Claude Sonnet 4.5

Pick Claude Sonnet 4.5 for rigorous statistical analysis, large-dataset cleaning, and any analysis where methodological correctness matters more than speed.

Verdict for data analysis

Claude Sonnet 4.5 is the more rigorous data analyst, with stronger pattern recognition, data cleaning, and statistical discipline. GPT-5.2 excels at communicating findings to non-technical audiences and is faster for exploratory analysis.

Use LLMWise Compare mode to test GPT-5.2 vs Claude Sonnet 4.5 on your own data analysis prompts.

Common questions

Which AI is better for data analysis?
Claude Sonnet 4.5 is more rigorous and thorough. GPT-5.2 is faster for exploratory work and better at communicating findings to non-technical audiences.
Can these models write SQL?
Both are strong SQL generators. They handle complex JOINs, CTEs, and window functions reliably. Claude has a slight edge on query optimization.
Which should I use for pandas/Python data work?
Both generate good pandas code. Claude tends to handle edge cases in data cleaning more thoroughly, while GPT produces code faster for standard operations.
Which is cheaper, GPT-5.2 or Claude Sonnet 4.5 for data analysis?
Both are premium-tier models with comparable pricing. LLMWise provides per-request cost tracking, so you can monitor exactly what each analysis costs and optimize your model choice based on real usage data.
Can I switch between GPT-5.2 and Claude Sonnet 4.5 for data tasks?
Yes. LLMWise offers a unified API for both models. You can route exploratory queries to GPT-5.2 for speed and deep statistical analysis to Claude Sonnet 4.5 for rigor, all without changing your integration.

One wallet, enterprise AI controls built in

You only pay credits per request. No monthly subscription. Paid credits never expire.

Replace multiple AI subscriptions with one wallet that includes routing, failover, and optimization.

Chat, Compare, Blend, Judge, MeshPolicy routing + replay labFailover without extra subscriptions
Start free with 40 creditsSee pricing examples
Related pages
GPT-5.2 vs Gemini 3 Flash for Data AnalysisClaude Sonnet 4.5 vs Gemini 3 Flash for Data AnalysisDeepSeek V3 vs GPT-5.2 for Data AnalysisClaude Sonnet 4.5 vs DeepSeek V3 for Data AnalysisGrok 3 vs Claude Sonnet 4.5 for Data AnalysisBest LLM for Document Summarization