DeepSeek V3vsGPT-5.2Data Analysis

DeepSeek V3 vs GPT-5.2 for Data Analysis

DeepSeek V3 delivers strong analytical reasoning at an unbeatable price point, while GPT-5.2 adds polish in narrative insight synthesis and structured output.

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DeepSeek V3
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Tie
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GPT-5.2
Evidence snapshot

DeepSeek V3 vs GPT-5.2 for data analysis

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

DeepSeek V3 wins
3
data analysis dimensions
GPT-5.2 wins
1
data analysis dimensions
Dimensions tested
5
task-specific checks
Winner
DeepSeek V3
for data analysis
Head-to-head for data analysis
DimensionDeepSeek V3GPT-5.2Edge
Pattern RecognitionIdentifies trends, outliers, and correlations with strong quantitative precision, often surfacing non-obvious patterns.Recognizes patterns effectively and contextualizes them within broader domain knowledge.
SQL & Query GenerationGenerates accurate, optimized SQL for complex queries including CTEs, window functions, and multi-table joins.Produces correct SQL across diverse dialects with strong query explanation but occasionally less optimized execution plans.
Statistical ReasoningApplies appropriate statistical tests and correctly interprets p-values, confidence intervals, and effect sizes.Strong statistical reasoning with excellent plain-language explanations accessible to non-technical stakeholders.tie
Data CleaningGenerates effective cleaning scripts handling missing values, duplicates, and type inconsistencies with production-ready code.Produces thorough cleaning pipelines with good edge-case handling, though scripts can be more verbose than necessary.
Insight SynthesisSummarizes findings accurately but can produce dry bullet-point insights lacking narrative flow and business context.Synthesizes findings into compelling narratives with actionable recommendations tailored to business audiences.

Which should you pick for data analysis?

AChoose DeepSeek V3

Choose DeepSeek V3 for data engineering pipelines, exploratory analysis, SQL-heavy workflows, or analytical workloads where cost efficiency and precision are priorities.

BChoose GPT-5.2

Choose GPT-5.2 when presenting data insights to executives or non-technical stakeholders who need polished narratives and actionable business recommendations.

Verdict for data analysis

DeepSeek V3 wins on data analysis overall thanks to strong quantitative reasoning, efficient SQL generation, and dramatically lower cost. GPT-5.2 is preferable when the final output needs to be a polished, stakeholder-ready narrative.

Use LLMWise Compare mode to test DeepSeek V3 vs GPT-5.2 on your own data analysis prompts.

Common questions

Is DeepSeek V3 good for data analysis?
Yes, DeepSeek V3 excels at pattern recognition, SQL generation, and data cleaning, making it a top choice for analytical workloads at scale.
Which model writes better SQL?
DeepSeek V3 generates slightly more optimized SQL, particularly for complex joins and window functions.
Should I use GPT-5.2 for data analysis reports?
GPT-5.2 is the better choice when analysis needs to be presented as a polished, narrative-driven report for business stakeholders.
Which is cheaper, DeepSeek V3 or GPT-5.2 for data analysis?
DeepSeek V3 is dramatically cheaper per token while delivering strong analytical performance. For high-volume data work like SQL generation and cleaning, the cost savings are substantial. LLMWise tracks per-request costs.
Does LLMWise support both DeepSeek V3 and GPT-5.2 for data analysis?
Yes. Both models are available through LLMWise's unified API. You can use DeepSeek V3 for data engineering tasks and GPT-5.2 for stakeholder-facing reports, all through one integration.

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