LiveBench 1.0 Data Analysis
Data analysis category of LiveBench 1.0, frozen at its final release (25 June 2026). LiveBench 2.0's Data Analysis suite is a different test.
As of 24 Oct 2026, GPT-6 Astra leads LiveBench 1.0 Data Analysis on BenchLeader with 83.0%, ahead of GPT-6.1 Sol at 82.7%, across 67 model configurations with a published result.
- Published by
- LiveBench
- Category
- Knowledge
- Index weight
- Reference only
- Models
- 67
- Data as of
- 24 Oct 2026
- Newest result
- 25 Jun 2026
The publisher has posted no new results on this board since 25 Jun 2026. BenchLeader re-reads it every day, so newer models appear here as soon as they are published.
LiveBench (livebench.ai), White et al. 2024.
This board is frozen. A different, newer test now carries its name, and its scores are on LiveBench 2.0 Data Analysis.
What the test looks like
LiveBench 1.0's data analysis tasks: reading tables, reformatting data, joining columns and predicting types, using recent datasets.
How it is scored
Percent correct, from LiveBench 1.0's final release (25 June 2026). LiveBench 2.0's Data Analysis suite is a different question set, so these scores no longer update.
What to keep in mind
A practical but narrow skill; models that are weak at structured output can lose points for formatting rather than reasoning.
- 1GPT-6 Astra (max)83.0%
- 2GPT-6.1 Sol (max)82.7%
- 3GPT-6.1 Sol (xhigh)82.2%
- 4Muse Wonder (max)81.6%
- 5GPT-5.5 (xhigh)81.6%
- 6GPT-6 Sol (max)81.2%
- 7Claude Fable 5 (max)80.5%
- 8Claude Opus 5.5 (max)80.3%
- 9Claude Fable 5.1 (max)80.3%
- 10GPT-5.6 Sol (max)79.8%
- 11Claude Opus 5.5 (xhigh)79.8%
- 12Muse Spark 1.3 (xhigh)79.6%
- 13Deepseek v4 Flash Vision79.5%
- 14DeepSeek V4 Flash79.3%
- 15GPT-5.4 (xhigh)79.3%
| # | ||||
|---|---|---|---|---|
| 1 | 83.0% | 70.4 | 2026-06-25 | |
| 2 | 82.7% | 69.9 | 2026-06-25 | |
| 3 | 82.2% | 67.7 | 2026-06-25 | |
| 4 | 81.6% | 67.5 | 2026-06-25 | |
| 5 | 81.6% | 66.1 | 2026-06-25 | |
| 6 | 81.2% | 66.4 | 2026-06-25 | |
| 7 | 80.5% | 69.3 | 2026-06-25 | |
| 8 | 80.3% | 72.6 | 2026-06-25 | |
| 9 | 80.3% | 70.5 | 2026-06-25 | |
| 10 | 79.8% | 68.0 | 2026-06-25 | |
| 11 | 79.8% | 70.0 | 2026-06-25 | |
| 12 | 79.6% | 64.9 | 2026-06-25 | |
| 13 | 79.5% | – | 2026-06-25 | |
| 14 | 79.3% | 52.2 | 2026-06-25 | |
| 15 | 79.3% | 64.7 | 2026-06-25 | |
| 16 | 79.3% | 64.4 | 2026-06-25 | |
| 17 | 79.3% | 61.2 | 2026-06-25 | |
| 18 | 79.2% | 53.5 | 2026-06-25 | |
| 19 | 79.1% | – | 2026-06-25 | |
| 20 | 78.8% | – | 2026-06-25 | |
| 21 | 78.7% | 59.1 | 2026-06-25 | |
| 22 | 78.6% | 67.9 | 2026-06-25 | |
| 23 | 78.5% | 60.3 | 2026-06-25 | |
| 24 | 78.4% | 63.3 | 2026-06-25 | |
| 25 | 78.3% | 57.4 | 2026-06-25 | |
| 26 | 78.2% | 57.3 | 2026-06-25 | |
| 27 | 78.2% | 56.0 | 2026-06-25 | |
| 28 | 78.0% | 59.9 | 2026-06-25 | |
| 29 | 78.0% | – | 2026-06-25 | |
| 30 | 76.9% | 61.6 | 2026-06-25 | |
| 31 | 76.6% | 54.6 | 2026-06-25 | |
| 32 | 76.5% | 49.8 | 2026-06-25 | |
| 33 | 76.5% | 63.2 | 2026-06-25 | |
| 34 | 76.4% | 62.6 | 2026-06-25 | |
| 35 | 76.2% | 56.4 | 2026-06-25 | |
| 36 | Ox Alphamax | 75.8% | – | 2026-06-25 |
| 37 | 74.5% | 68.8 | 2026-06-25 | |
| 38 | 74.4% | 59.2 | 2026-06-25 | |
| 39 | 74.2% | 60.2 | 2026-06-25 | |
| 40 | 73.9% | 57.8 | 2026-06-25 | |
| 41 | 73.7% | 52.0 | 2026-06-25 | |
| 42 | 73.4% | 60.0 | 2026-06-25 | |
| 43 | 73.0% | 59.0 | 2026-06-25 | |
| 44 | 72.8% | 61.5 | 2026-06-25 | |
| 45 | 72.5% | 61.6 | 2026-06-25 | |
| 46 | 71.8% | 60.6 | 2026-06-25 | |
| 47 | 71.7% | 59.0 | 2026-06-25 | |
| 48 | 70.8% | 56.3 | 2026-06-25 | |
| 49 | 70.8% | 54.8 | 2026-06-25 | |
| 50 | 70.4% | 48.6 | 2026-06-25 | |
| 51 | 70.2% | – | 2026-06-25 | |
| 52 | 69.9% | 58.8 | 2026-06-25 | |
| 53 | 69.9% | 62.7 | 2026-06-25 | |
| 54 | 68.0% | 63.5 | 2026-06-25 | |
| 55 | 67.6% | 54.2 | 2026-06-25 | |
| 56 | 66.0% | 63.3 | 2026-06-25 | |
| 57 | 65.1% | 59.4 | 2026-06-25 | |
| 58 | 64.9% | 63.1 | 2026-06-25 | |
| 59 | 63.0% | 62.0 | 2026-06-25 | |
| 60 | 62.7% | 55.8 | 2026-06-25 |
More knowledge benchmarks · All LLM benchmarks
Cite as: BenchLeader, “LiveBench 1.0 Data Analysis leaderboard”, data as of 24 Oct 2026, https://www.benchleader.com/benchmarks/livebench_data.
LiveBench 1.0 Data Analysis: questions
- What does LiveBench 1.0 Data Analysis measure?
- LiveBench 1.0's data analysis tasks: reading tables, reformatting data, joining columns and predicting types, using recent datasets. Scores are reported in percent of tasks solved; higher is better.
- Which AI model leads LiveBench 1.0 Data Analysis?
- GPT-6 Astra leads LiveBench 1.0 Data Analysis with 83.0% as of 24 Oct 2026, ahead of GPT-6.1 Sol at 82.7%.
- How many models have LiveBench 1.0 Data Analysis results?
- 67 model configurations have a LiveBench 1.0 Data Analysis result on BenchLeader, all taken from LiveBench.
- Who runs LiveBench 1.0 Data Analysis and how often is it updated?
- LiveBench 1.0 Data Analysis is published by LiveBench. BenchLeader re-reads the published results once a day and records the date each result was published.
- Does LiveBench 1.0 Data Analysis count toward the BenchLeader Index?
- No. LiveBench 1.0 Data Analysis is shown for reference but left out of the composite index.