BlogLLM Benchmark Scores as Published, Side by Side

Capture-the-Flag Challenges: Results as Published

Every result the catalog holds for Capture-the-Flag Challenges: 8 models from 1 developer, read from 3 pages. Each number is as printed by the company named beside it; nothing is ranked or rescored. Models are listed by developer, newest first.

Area CybersecurityMaintainer OpenAIIntroduced 2024Data version 2026103001, as of 2026-10-30

OpenAI's internal capture-the-flag suite, used under its Preparedness Framework, asks a model to solve more than 100 publicly available CTF challenges across web, reverse engineering, binary and network exploitation, cryptography and miscellaneous categories. Challenges are sorted by the skill level they need (high school, collegiate, professional); collegiate and professional tasks require chaining two or more exploitation steps. The model works on a headless Linux machine with offensive tools, and the result is a pass rate over repeated attempts per challenge.

Capture the Flag challenges

ModelValuePrinted bySetup as printed
GPT-5.6 LunaOpenAI, released 2026-07-0985.2%OpenAI, GPT-5.6: Frontier intelligence that scales with your ambitionchecked 2026-10-15-
GPT-5.6 SolOpenAI, released 2026-07-0996.7%OpenAI, GPT-5.6: Frontier intelligence that scales with your ambitionchecked 2026-10-15-
GPT-5.6 TerraOpenAI, released 2026-07-0991.8%OpenAI, GPT-5.6: Frontier intelligence that scales with your ambitionchecked 2026-10-15-
GPT-5.5OpenAI, released 2026-04-2388.1%OpenAI, Introducing GPT-5.5checked 2026-10-15; printed on 1 more pageEffort: xhigh
GPT-5.4OpenAI, released 2026-03-0583.7%OpenAI, Introducing GPT-5.5checked 2026-10-15Effort: xhigh
GPT-5.3-CodexOpenAI, released 2026-02-0577.6%OpenAI, Introducing GPT-5.3-Codexchecked 2026-10-15Effort: xhigh
GPT-5.2-CodexOpenAI, released 2025-12-1867.4%OpenAI, Introducing GPT-5.3-Codexchecked 2026-10-15Effort: xhigh
GPT-5.2OpenAI, released 2025-12-1167.7%OpenAI, Introducing GPT-5.3-Codexchecked 2026-10-15Effort: xhigh

Every number here is read from the same catalog file as the benchmark table, data version 2026103001, and is the number the table shows for that model and test. Where one page printed a model under several setups, each value is listed. The catalog is public in armanobosyan/sugra-llm-benchmarks; a wrong number can be reported from the table, with Report an error under the value, or as an issue in that repository.