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// ranked · November 2026

Best LLM for Data Analysis

Ranked by LiveBench’s data analysis category: table reformatting, table joins and event-sequence reasoning over real datasets.

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Gemini 4 Argon leads on LiveBench data analysis at 85.2, ahead of GPT-6 Astra (83.0) and GPT-6.1 Sol (82.7).

Gemini 4 Argon vs GPT-6 Astra, head to head

Top 10

#ModelData analysis scoreBlended / 1MContextCapabilities
1Gemini 4 Argon

google/gemini-4-argon

85.2$4.001.0M
reasoningtoolsvision
2GPT-6 Astra

openai/gpt-6-astra

83.0$20.001.1M
reasoningtoolsvision
3GPT-6.1 Sol

openai/gpt-6.1-sol

82.7$4.001.1M
reasoningtoolsvision
4GPT-6.1 Terra

openai/gpt-6.1-terra

82.3$2.001.1M
reasoningtoolsvision
5Muse Wonder

meta/muse-wonder

81.6$8.001.0M
reasoningtoolsvision
6Claude Opus 5.5

anthropic/claude-opus-5.5

80.3$8.001M
reasoningtoolsvision
7Claude Fable 5.1

anthropic/claude-fable-5.1

80.3$20.001M
reasoningtoolsvision
8Muse Spark 1.3

meta/muse-spark-1.3

79.6$2.001.0M
reasoningtoolsvision
9DeepSeek V4.1 Flash 1017

deepseek/deepseek-v4.1-flash-1017

79.5$0.2621.0M
reasoningtoolsvision
10GPT-5.6 Terra

openai/gpt-5.6-terra

79.3$4.501.1M
reasoningtoolsvision

18 more models qualify — see the full leaderboard.

FAQ

What is the best LLM for Data Analysis in November 2026?

Gemini 4 Argon leads on LiveBench data analysis at 85.2, ahead of GPT-6 Astra (83.0) and GPT-6.1 Sol (82.7).

What is the best value in the top 10 for data analysis?

DeepSeek V4.1 Flash 1017. Lowest measured cost per point among the leaders — $0.0004 per point for a score of 79.5.

What is the best under $1.00 / 1m for data analysis?

DeepSeek V4.1 Flash 1017. Highest score at a blended list price of $1.00 per 1M tokens or less — 79.5 at $0.262.

How is this ranking produced?

Ranked by LiveBench’s data analysis category: table reformatting, table joins and event-sequence reasoning over real datasets.

Other rankings

How this ranking is produced

  • One metric, stated above — nothing here is weighted or scored by us. Scores come from LiveBench release 2026-10-25; models without a published run don't appear in score-based rankings.
  • Price, context and capabilities — live from OpenRouter, refreshed every 15 minutes.
  • Ties — scores less than a point apart are called a tie; effort settings alone move a LiveBench score by more than that.

A public benchmark is someone else's workload. Before committing, see LLM & agent evaluation.