AIDABench (Pass@1) - QA: leaderboard

Metric: Score (%) on the 226 question-answering tasks, a single run (pass@1), AIDABench's 603 end-to-end data-analytics tasks over real business files (mostly spreadsheets, up to 14 files per task); the model works in a Python sandbox through one execute_code tool (at most 20 calls) with an auxiliary spreadsheet summary, provider-recommended decoding; QA answers are judged pass/fail by QwQ-32B against the reference, charts get a 0-1 rubric score from a Gemini-3-Pro-Preview judge, spreadsheets pass/fail from a Claude-Sonnet-4.5 file evaluator; higher is better. Source: arxiv.org. Saturation forecast: Around January 2027. 11 models tracked.

Top models

#ModelScoreOverall rank
1Claude Sonnet 4.568.58#138
2Kimi K2 (Thinking)66.37#236 (Kimi K2)
3Gemini 3 Pro (Preview)64.6#64
4DeepSeek V3.2 (Thinking)62.39#198 (DeepSeek V3.2)
5Qwen 3 Max (2026-01-23)60.62#151
6DeepSeek V3.2 (Non-reasoning)60.18#198 (DeepSeek V3.2)
7Qwen 3 235B A22B 2507 Instruct53.98#291
8Qwen 3 30B A3B 2507 (Thinking)52.65#366 (Qwen 3 30B A3B 2507)
9Qwen 3 30B A3B 2507 Instruct35.4#464

No result here: #3 Claude Opus 5.5, #5 GPT-6 Astra, #8 Claude Fable 5.1.

Interactive version: theaggregate.ai/benchmark?slug=aidabench-pass-1-qa · How It Works · Data refreshed daily, snapshot 2026-10-11.