Skip to main content
BenchLM
Data

FACTS Benchmark Suite

We show this table for reference; we do not rank on it.

Data verified

The official FACTS suite combines document grounding, visual factuality, parametric recall, and search-assisted answering. The published average stays separate from its component scores.

Evaluation results published by Google DeepMind, Google Research, and Kaggle. How Kaggle Benchmarks reruns tests.

Kaggle labels this benchmark Apache 2.0. We retain aggregate measurements with attribution and source links. That declaration does not establish rights to third-party documents, videos, or other underlying task material; no task contents are included. Original article terms.

Published average (%) on FACTS Benchmark Suite — October 13, 2026

We mirror the published published average (%) view for FACTS Benchmark Suite. GPT-6 Astra has the highest reported value at 75.7%. These are published source configurations. Compare the task version and disclosed settings before treating a score difference as a model difference. We do not use these results to rank models overall.

40 source rowsKnowledgeCurrentDisplay onlyUpdated October 13, 2026

Published average (%) table (40 source rows)

Published average (%) results for FACTS Benchmark Suite
RankModel / configurationScoreParameters (B)Open / closed
1GPT-6 AstraCreator not reportedKaggle benchmark v1; task revision 1; 4/4 component scores; Evaluated 2026-09-15
75.7%
Not reportedUnknown
2GPT-6.1 SolCreator not reportedKaggle benchmark v1; task revision 1; 4/4 component scores; Evaluated 2026-10-13
75.3%
Not reportedUnknown
3GPT-6 SolCreator not reportedKaggle benchmark v1; task revision 1; 4/4 component scores; Evaluated 2026-09-29
72.5%
Not reportedUnknown
4Gemini 3.7 FlashCreator not reportedKaggle benchmark v1; task revision 1; 4/4 component scores; Evaluated 2026-08-27
71.2%
Not reportedUnknown
5Gemini 3.8 FlashCreator not reportedKaggle benchmark v1; task revision 1; 4/4 component scores; Evaluated 2026-09-04
69.4%
Not reportedUnknown
6Gemini 3.1 Pro PreviewCreator not reportedKaggle benchmark v1; task revision 1; 4/4 component scores; Evaluated 2026-07-25
67.4%
Not reportedUnknown
7GPT-5.5Creator not reportedKaggle benchmark v1; task revision 1; 3/4 component scores; Evaluation date unreported
66.7%
Not reportedUnknown
8Gemini 3.6 FlashCreator not reportedKaggle benchmark v1; task revision 1; 4/4 component scores; Evaluated 2026-07-23
65.3%
Not reportedUnknown
9Claude Opus 5.5Creator not reportedKaggle benchmark v1; task revision 1; 4/4 component scores; Evaluated 2026-09-25
65.3%
Not reportedUnknown
10Gemini 3 Flash PreviewCreator not reportedKaggle benchmark v1; task revision 1; 4/4 component scores; Evaluated 2026-07-18
63.4%
Not reportedUnknown
11GPT-6 LunaCreator not reportedKaggle benchmark v1; task revision 1; 4/4 component scores; Evaluated 2026-09-29
63.3%
Not reportedUnknown
12Gemini 3.5 FlashCreator not reportedKaggle benchmark v1; task revision 1; 4/4 component scores; Evaluated 2026-07-23
63.1%
Not reportedUnknown
13Gemini 2.5 ProCreator not reportedKaggle benchmark v1; task revision 1; 3/4 component scores; Evaluated 2025-12-07
61.5%
Not reportedUnknown
14GPT-5Creator not reportedKaggle benchmark v1; task revision 1; 3/4 component scores; Evaluated 2025-12-07
56.5%
Not reportedUnknown
15Claude Opus 4.8Creator not reportedKaggle benchmark v1; task revision 1; 4/4 component scores; Evaluated 2026-07-24
53.5%
Not reportedUnknown
16Gemini 3.5 Flash-LiteCreator not reportedKaggle benchmark v1; task revision 1; 4/4 component scores; Evaluated 2026-07-23
53.5%
Not reportedUnknown
17GPT-5.6 SolCreator not reportedKaggle benchmark v1; task revision 1; 3/4 component scores; Evaluated 2026-07-24
52.4%
Not reportedUnknown
18GPT-5.6 TerraCreator not reportedKaggle benchmark v1; task revision 1; 4/4 component scores; Evaluated 2026-07-24
52.0%
Not reportedUnknown
19Gemini 3.1 Flash-Lite PreviewCreator not reportedKaggle benchmark v1; task revision 1; 3/4 component scores; Evaluation date unreported
51.4%
Not reportedUnknown
20Grok 4.5Creator not reportedKaggle benchmark v1; task revision 1; 4/4 component scores; Evaluated 2026-07-28
50.2%
Not reportedUnknown
21GPT-5.2Creator not reportedKaggle benchmark v1; task revision 1; 3/4 component scores; Evaluation date unreported
48.5%
Not reportedUnknown
22Gemini 2.5 FlashCreator not reportedKaggle benchmark v1; task revision 1; 3/4 component scores; Evaluated 2025-12-07
47.2%
Not reportedUnknown
23Grok 4Creator not reportedKaggle benchmark v1; task revision 1; 3/4 component scores; Evaluated 2025-12-07
46.3%
Not reportedUnknown
24GPT-4.1Creator not reportedKaggle benchmark v1; task revision 1; 3/4 component scores; Evaluated 2025-12-07
45.8%
Not reportedUnknown
25Claude Opus 4.7Creator not reportedKaggle benchmark v1; task revision 1; 3/4 component scores; Evaluation date unreported
45.5%
Not reportedUnknown
26Gemma 4 31BCreator not reportedKaggle benchmark v1; task revision 1; 4/4 component scores; Evaluated 2026-07-27
45.3%
Not reportedUnknown
27GPT-5.1Creator not reportedKaggle benchmark v1; task revision 1; 3/4 component scores; Evaluated 2025-12-07
45.0%
Not reportedUnknown
28o3Creator not reportedKaggle benchmark v1; task revision 1; 3/4 component scores; Evaluated 2025-12-07
44.4%
Not reportedUnknown
29Claude Opus 4.5Creator not reportedKaggle benchmark v1; task revision 1; 3/4 component scores; Evaluated 2025-12-07
43.9%
Not reportedUnknown
30Gemma 4 26B A4BCreator not reportedKaggle benchmark v1; task revision 1; 4/4 component scores; Evaluated 2026-07-28
42.7%
Not reportedUnknown
31Claude Opus 4.6Creator not reportedKaggle benchmark v1; task revision 1; 3/4 component scores; Evaluation date unreported
41.5%
Not reportedUnknown
32Claude Sonnet 4.5 (thinking)Creator not reportedKaggle benchmark v1; task revision 1; 3/4 component scores; Evaluated 2025-12-07
40.6%
Not reportedUnknown
33Claude Opus 4.1Creator not reportedKaggle benchmark v1; task revision 1; 3/4 component scores; Evaluated 2025-12-07
40.4%
Not reportedUnknown
34GPT-5 miniCreator not reportedKaggle benchmark v1; task revision 1; 3/4 component scores; Evaluated 2025-12-07
38.6%
Not reportedUnknown
35Claude Sonnet 4.6Creator not reportedKaggle benchmark v1; task revision 1; 3/4 component scores; Evaluation date unreported
37.0%
Not reportedUnknown
36GPT-5.6 LunaCreator not reportedKaggle benchmark v1; task revision 1; 4/4 component scores; Evaluated 2026-08-12
35.0%
Not reportedUnknown
37Claude Sonnet 4Creator not reportedKaggle benchmark v1; task revision 1; 3/4 component scores; Evaluated 2025-12-07
35.0%
Not reportedUnknown
38Gemma 3 27BCreator not reportedKaggle benchmark v1; task revision 1; 3/4 component scores; Evaluated 2025-12-07
29.1%
Not reportedUnknown
39o4 miniCreator not reportedKaggle benchmark v1; task revision 1; 3/4 component scores; Evaluated 2025-12-07
28.1%
Not reportedUnknown
40grok-4-fast-reasoningCreator not reportedKaggle benchmark v1; task revision 1; 3/4 component scores; Evaluated 2025-12-07
25.5%
Not reportedUnknown

How to read FACTS Benchmark Suite

The FACTS suite brings four factuality tests together: Grounding v2, Multimodal v1, Parametric v1, and Search v2 in this source snapshot. We show Kaggle's published Average without recalculating it or borrowing scores from provider reports.

Some rows lack a component result even though the table labels the average as four dimensions. The retained measurements preserve those missing cells. A published average does not establish that a model completed all four tests, and it should be read alongside its coverage.

The complete official download includes models hidden by the source page's default filters. Source names and task versions stay separate from canonical model profiles; these results do not enter overall or category rankings.

These are published source configurations. Compare the task version and disclosed settings before treating a score difference as a model difference. The table retains each source configuration and its reported value.

40 source rows are shown for FACTS Benchmark Suite. The benchmark falls in the Knowledge category. We keep external benchmark mirrors separate from the weighted global scoring system, so these results remain source-specific evidence. FACTS Benchmark Suite is currently displayed for reference but excluded from the scoring formula, so it does not directly affect overall rankings.

About FACTS Benchmark Suite

Year

2025

Tasks

Four benchmark dimensions; public and held-out examples

Format

Published percentage average

The FACTS suite brings four factuality tests together: Grounding v2, Multimodal v1, Parametric v1, and Search v2 in this source snapshot. We show Kaggle's published Average without recalculating it or borrowing scores from provider reports. Some rows lack a component result even though the table labels the average as four dimensions. The retained measurements preserve those missing cells. A published average does not establish that a model completed all four tests, and it should be read alongside its coverage. The complete official download includes models hidden by the source page's default filters. Source names and task versions stay separate from canonical model profiles; these results do not enter overall or category rankings.

Freshness and provenance

Version

FACTS Benchmark Suite 2025

Refresh cadence

Quarterly

Staleness state

Current

Question availability

Public benchmark set

CurrentDisplay only

BenchLM uses freshness metadata to decide whether a benchmark should still be treated as a strong differentiator, a benchmark to watch, or a display-only reference. For the full scoring policy, see the BenchLM methodology page.

Questions

What does FACTS Benchmark Suite measure?

The official FACTS suite combines document grounding, visual factuality, parametric recall, and search-assisted answering. The published average stays separate from its component scores.

Which source row has the highest reported FACTS Benchmark Suite value?

GPT-6 Astra has the highest reported FACTS Benchmark Suite value at 75.7%. These are published source configurations. Compare the task version and disclosed settings before treating a score difference as a model difference. BenchLM shows this benchmark for display only and does not use it in overall rankings.

How many models are evaluated on FACTS Benchmark Suite?

The October 13, 2026 snapshot contains 40 AI models.

Last updated: October 13, 2026 · mirrored from the public benchmark leaderboard

Know when it’s worth switching models

The model to choose, the cheaper alternative, and the release we would wait on.

Read a sample issue

Join 6,100+ subscribers.

One email each week. Unsubscribe anytime.