FACTS Search V2
Models answer information-seeking questions with a search tool and must combine what they find correctly. Second version of FACTS Search on Kaggle.
Kaggle published version 2 of the board on July 27th, 2026 and renamed it FACTS Search V2. It listed 23 models on November 1st, 2026. No changelog was found.
- Made by
- Google DeepMind + Google Research + Kaggle
- Released
- July 2026
- Kind
- Short factual questions
- Level
- University
- Scored
- Graded by a model
- Answers
- Short answer
- Tasks
- Public, plus a private test set
- Strongest model tested
- GPT-6 Astra #3 on the capability index
- Last model added
- October 2026
- Scores refreshed
- November 12th, 2026
GPT-6 Astra leads with 89.9%
Best score per entry from the benchmark's own leaderboard, read on November 12th, 2026. Where a model ran with several settings or harnesses, we keep its best. Names in gray aren't in our model list: fine-tunes, agent systems, products and older models. They don't count toward leaders.
- 89.9 GPT-6 Astra
- 88.5 GPT-5.6 Sol
- 88.2 GPT-6.1 Sol
- 86.5 Claude Opus 5.5
- 86.2 GPT-6 Sol
- 85.3 Claude Opus 5
- 84.0
Gemini 4 Argon
- 83.7
Gemini 3.1 Pro
- 81.7 GPT-5.6 Terra
- 81.4 GPT-6 Luna
- 80.9
Gemini 3 Flash
- 80.9
Gemini 3.7 Flash
- 79.6 Claude Opus 4.8
- 79.4 Grok 4.5
- 79.3 GPT-5.6 Luna
- 77.5 Claude Haiku 5.5
- 76.3
Gemini 3.8 Flash
- 68.2
Gemini 3.6 Flash
- 64.3
Gemini 3.5 Flash
- 63.4
Gemini 3.5 Flash-Lite
- 60.3
Gemma 4 26B A4B
- 53.4 Qwen 3 235B A22B Instruct 2506
- 1 GPT-6 Astra 89.9%
- 2 GPT-5.6 Sol 88.5%
- 3 GPT-6.1 Sol 88.2%
- 4 Claude Opus 5.5 86.5%
- 5 GPT-6 Sol 86.2%
- 6 Claude Opus 5 85.3%
- 7
Gemini 4 Argon 84%
- 8
Gemini 3.1 Pro 83.7%
- 9 GPT-5.6 Terra 81.7%
- 10 GPT-6 Luna 81.4%
- 11
Gemini 3 Flash 80.9%
- 12
Gemini 3.7 Flash 80.9%
- 13 Claude Opus 4.8 79.6%
- 14 Grok 4.5 79.4%
- 15 GPT-5.6 Luna 79.3%
- 16 Claude Haiku 5.5 77.5%
- 17
Gemini 3.8 Flash 76.3%
- 18
Gemini 3.6 Flash 68.2%
- 19
Gemini 3.5 Flash 64.3%
- 20
Gemini 3.5 Flash-Lite 63.4%
- 21
Gemma 4 26B A4B 60.3%
- 22 Qwen 3 235B A22B Instruct 2506 53.4%
Source: Official FACTS Search V2 leaderboard
| # | Entry | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | GPT-6 Astra | 89.9% | Sep 2026 | Official leaderboard | |
| 2 | GPT-5.6 Sol | 88.5% | Jul 2026 | Official leaderboard | |
| 3 | GPT-6.1 Sol | 88.2% | Sep 2026 | Official leaderboard | |
| 4 | Claude Opus 5.5 | 86.5% | Sep 2026 | Official leaderboard | |
| 5 | GPT-6 Sol | 86.2% | Sep 2026 | Official leaderboard | |
| 6 | Claude Opus 5 | 85.3% | Jul 2026 | Official leaderboard | |
| 7 | | 84% | Sep 2026 | Official leaderboard | |
| 8 | | 83.7% | Feb 2026 | Official leaderboard | |
| 9 | GPT-5.6 Terra | 81.7% | Jul 2026 | Official leaderboard | |
| 10 | GPT-6 Luna | 81.4% | Sep 2026 | Official leaderboard | |
| 11 | | 80.9% | Dec 2025 | Official leaderboard | |
| 12 | | 80.9% | Aug 2026 | Official leaderboard | |
| 13 | Claude Opus 4.8 | 79.6% | May 2026 | Official leaderboard | |
| 14 | Grok 4.5 | 79.4% | Jul 2026 | Official leaderboard | |
| 15 | GPT-5.6 Luna | 79.3% | Jul 2026 | Official leaderboard | |
| 16 | Claude Haiku 5.5 | 77.5% | Oct 2026 | Official leaderboard | |
| 17 | | 76.3% | Sep 2026 | Official leaderboard | |
| 18 | | 68.2% | Jul 2026 | Official leaderboard | |
| 19 | | 64.3% | May 2026 | Official leaderboard | |
| 20 | | 63.4% | Jul 2026 | Official leaderboard | |
| 21 | | 60.3% | Apr 2026 | Official leaderboard | |
| 22 | Qwen 3 235B A22B Instruct 2506 | 53.4% | Jul 2026 | Official leaderboard |
3 models have held number one on the official leaderboard since its release in July 2026
Lab claims count from the day the card came out, independent runs from the model’s release.
Source: Official FACTS Search V2 leaderboard
GPT-5.6 Sol on the official leaderboard passed 85% in July 2026
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Source: Official FACTS Search V2 leaderboard
No lab model card reports it yet
We read the headline results of 522 launch posts from 52 labs, and none of them list this benchmark.
Versions
We switch the top row to each new version when it comes out. Open it for one row per version. An old version stays in play while people still test it, so whoever first takes it past 85% gets credit for closing it out.
Source: Official leaderboards
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