Benchmark profile
CAIS AI Dashboard Text Capabilities Index (CAIS Text Leaderboard)
A Center for AI Safety dashboard view summarizing text capabilities across HLE, ARC-AGI-2, SWE-Bench Pro, and TextQuests.
How BenchLM shows the CAIS Text Leaderboard
BenchLM mirrors the CAIS AI Dashboard text-capability view as a simple average over hle, arc_agi_2, swebench_pro, textquests. The source dashboard publishes the component benchmark scores and model metadata used here.
The CAIS Text Leaderboard is display only on BenchLM. It is a composite dashboard view rather than a single benchmark-native task set, so BenchLM keeps it out of weighted rankings.
Text average on CAIS Text Leaderboard — June 2026 dashboard snapshot
BenchLM mirrors the published text average view for CAIS Text Leaderboard. GPT-5.5 leads the public snapshot at 54.1% , followed by Opus 4.8 (53.8%) and Gemini 3.1 Pro (52.9%). BenchLM does not use these results to rank models overall.
GPT-5.5
OpenAI
gpt-5.5-high
Opus 4.8
Anthropic
opus-4-8-adaptive-64k
Gemini 3.1 Pro
gemini-3.1-pro-preview-high
Text average table (25 models)
ScoreThe published CAIS Text Leaderboard snapshot places GPT-5.5 first at 54.1%. The third row is 1.2 points behind. The broader top-10 range is 18.5 points, so the table still separates the published systems.
25 models have been evaluated on CAIS Text Leaderboard. The benchmark falls in the External benchmark mirrors category. We keep external benchmark mirrors separate from the weighted global scoring system, so these results remain source-specific evidence. CAIS Text Leaderboard is currently displayed for reference but excluded from the scoring formula, so it does not directly affect overall rankings.
About CAIS Text Leaderboard
Year
2025
Tasks
HLE, ARC-AGI-2, SWE-Bench Pro, and TextQuests
Format
Average component score
Difficulty
Composite frontier text capability
BenchLM mirrors the text-capability portion of the CAIS AI Dashboard as a display-only composite. The displayed score is the average of the public HLE, ARC-AGI-2, SWE-Bench Pro, and TextQuests component scores.
BenchLM freshness & provenance
Version
CAIS Text Leaderboard 2025
Refresh cadence
Quarterly
Staleness state
Current
Question availability
Public benchmark set
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.
FAQ
What does CAIS Text Leaderboard measure?
A Center for AI Safety dashboard view summarizing text capabilities across HLE, ARC-AGI-2, SWE-Bench Pro, and TextQuests.
Which model leads the published CAIS Text Leaderboard snapshot?
GPT-5.5 currently leads the published CAIS Text Leaderboard snapshot with 54.1% text average. BenchLM shows this benchmark for display only and does not use it in overall rankings.
How many models are evaluated on CAIS Text Leaderboard?
25 AI models are included in BenchLM's mirrored CAIS Text Leaderboard snapshot, based on the public leaderboard captured on June 2026 dashboard snapshot.
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