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  1. Home
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  3. Data Analysis

Best AI for Data Analysis

Which AI performs the best data analysis? Ranked across dataset interpretation, statistical summaries, and insight generation from structured data.

Updated Apr 2026
4 challenges
20 models
#1 Claude Opus 4.6

How Data Analysis rankings are computed

Rankings are based on 20 models tested across 4 data analysis challenges. Each model is scored using a five-signal composite: 30% Rival Index (with product-line inheritance for new models), 20% task coverage, 20% challenge-scoped duel performance, 15% model recency, and 15% model tier. Models are deduplicated by product line so only the newest version per model family appears. Claude Opus 4.6 currently leads with a score of 92.5/100. All ranking data is part of Rival's open dataset of 21,000+ human preference votes.

Rival's Pick
#1 Rival IndexGoogle flagshipToo close to call
Gemini 3.1 Pro Preview
Gemini 3.1 Pro Previewgoogle

Neck and neck with Claude Opus 4.6. Gemini 3.1 Pro Preview gets the nod — stronger community consensus in blind votes.

Gemini 3.1 Pro Preview
Gemini 3.1 Pro Preview
google
90score
Claude Opus 4.6
Claude Opus 4.6
anthropic
92score
Qwen: Qwen3.6 Plus Preview (free)
Qwen: Qwen3.6 Plus Preview (free)
qwen
89score

Head-to-Head

Claude Opus 4.6 logo
Claude Opus 4.6
vs
Gemini 3.1 Pro Preview
Gemini 3.1 Pro Preview logo
Claude Opus 4.6 logo
Claude Opus 4.6
vs
Qwen: Qwen3.6 Plus Preview (free)
Qwen: Qwen3.6 Plus Preview (free) logo
Gemini 3.1 Pro Preview logo
Gemini 3.1 Pro Preview
vs
Qwen: Qwen3.6 Plus Preview (free)
Qwen: Qwen3.6 Plus Preview (free) logo

Full Rankings

20 models
#
Model
Coverage
Index
Score
4
Gemini 3 Flash Preview logo
Gemini 3 Flash Previewgoogle
4/4
#7
86
5
Z.ai: GLM 5 logo
Z.ai: GLM 5zhipu
4/4
#52
85
6
Grok 4.20 Multi-Agent Beta logo
Grok 4.20 Multi-Agent Betaxai
4/4
#84
82
7
Google: Gemma 4 31B logo
Google: Gemma 4 31Bgoogle
4/4
#6
82
8
Claude Sonnet 4.6 logo
Claude Sonnet 4.6anthropic
4/4
#56
80
9
Claude Haiku 4.5 logo
Claude Haiku 4.5anthropic
4/4
#25
79
10
Qwen3 Coder Next logo
Qwen3 Coder Nextqwen
4/4
#16
78
11
Google: Gemma 4 26B A4B logo
Google: Gemma 4 26B A4Bgoogle
4/4
#10
77
12
GPT-5.4 logo
GPT-5.4openai
4/4
#46
74
13
Z.ai: GLM 5.1 logo
Z.ai: GLM 5.1z-ai
4/4
73
14
GPT OSS 120B logo
GPT OSS 120Bopenai
4/4
#89
73
15
GPT-5.3-Codex logo
GPT-5.3-Codexopenai
4/4
#50
73
16
Gemini 2.5 Pro Preview 06-05 logo
Gemini 2.5 Pro Preview 06-05google
3/4
#28
71
17
Claude 3.7 Thinking Sonnet logo
Claude 3.7 Thinking Sonnetanthropic
4/4
#20
71
18
Healer Alpha logo
Healer Alphaopenrouter
4/4
#33
71
19
Mistral Large 3 2512 logo
Mistral Large 3 2512mistral
4/4
#51
71
20
Kimi K2.5 logo
Kimi K2.5moonshotai
4/4
#61
70
Challenges4
Gravitational Waves Visualization
Tests scientific accuracy and visual execution
Estimate Complexity
Tests estimation and technical reasoning
Advanced Investment Memo (IC Memo)
Tests pro-level buy-side memo writing, valuation, and diligence framing
Mini LBO Underwrite
Tests leverage modeling, cash flow mechanics, and sensitivity analysis
Related
Technical AnalysisComplex ReasoningData Visualization
vs

Ask them anything yourself

Claude Opus 4.6Gemini 3.1 Pro Preview

Keep exploring

#1 VS #2

Claude Opus 4.6 vs Gemini 3.1 Pro Preview

The top two for Data Analysis, compared directly

RELATED

Best AI for Technical Analysis

See which models rank highest here

FAQ

What is the best AI for data analysis?

Rival ranks AI models for data analysis using a five-signal composite algorithm across 4 challenges: 30% Rival Index, 20% task coverage, 20% challenge duels, 15% recency, and 15% model tier. Newer models inherit Rival scores from predecessors within their product line, and only the newest version per model family is shown. As of the latest refresh, Claude Opus 4.6 leads with a composite score of 92.5/100.

How are AI models ranked for data analysis on Rival?

Each model is scored with a multi-signal composite: 30% Rival Index, 20% task coverage, 20% challenge duels, 15% recency, and 15% model tier, plus a small bonus for major AI providers. Rankings are based on 20 models tested across 4 data analysis challenges. Models are deduplicated by product line (e.g., only the latest GLM or GPT version appears). All duel votes are blind: voters see responses without knowing which model produced them.

Can I compare AI models for data analysis?

Yes. Each model in the ranking links to its profile page, and you can compare any two models side-by-side on Rival's Compare page to see their actual responses to data analysis challenges.

How often are the data analysis rankings updated?

Rankings are refreshed every few hours. They incorporate the latest Rival Index scores from community duels, model recency, and any new model responses added to the platform. All ranking data is part of Rival's open dataset.

We compare AI models for a living. On purpose. We chose this.

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