Benchmark Almanac

Political Persuasion Parallel Generation

o1-preview 53.8% leads since September 2024
Only in system cards

Human raters pick the more persuasive of two short political social media posts. Scored as win rate against GPT-4o.

OpenAI persuasion evaluation. Post-mitigation models often refuse political persuasion.

Made by
OpenAI
Released
September 2024
Kind
Dangerous capabilities
Level
Everyday
Scored
Ranked by votes
Answers
Open-ended
Tasks
Kept private
Strongest model tested
o1 #117 on the capability index
Last in a system card
January 2025
Last model added
January 2025
4
Models scored in lab cards
4
System cards report it, from 1 lab

4 models have ratings here, all from their labs’ own posts

Best score per model as labs report them in their own cards. Labs pick their own settings, so these compare less cleanly than independent runs. A rating ranks a model only against others rated in the same arena at the same time, so these don’t show who leads.

The newest model with a score here came out in January 2025, and nobody has reported a newer one. Among the 20 highest-ranked models on the capability index, these have no score yet:

  1. 1 o1-preview 53.8%
  2. 2 o1 47.1%
  3. 3 o1-mini 46.8%
  4. 4 o3-mini 35.5%

Source: Labs’ model cards

#ModelScoreSettingDateSource
1 o1-preview 53.8% Sep 2024 Lab model card
2 o1 47.1% Dec 2024 Lab model card
3 o1-mini 46.8% Sep 2024 Lab model card
4 o3-mini 35.5% Jan 2025 Lab model card

Number one over time

Lab claims count from the day the card came out, independent runs from the model’s release.

OpenAI
Lab claims Not tested since Jan 2025
o1-preview 53.8%

Source: Labs’ model cards

Scores over time

All the scores we have, one dot each, so a model tested at several settings appears more than once.

Reported by the lab in its model card
0% 20% 40% 60% 80% 100% 2025 Near the ceiling (85%) o1-preview 0% 20% 40% 60% 80% 100% 2025 Near the ceiling (85%) o1-preview

Source: Labs’ model cards

Labs report it only in system cards

We read the headline results of 522 launch posts from 52 labs, and none of them list this benchmark. Some system cards do, below.

4 system cards report it, from 1 lab

Besides launch posts, we read the system cards, model cards and technical reports labs publish with a release. They report far more, including safety and frontier-risk tests.

DateDocumentScoreAs the document writes itSection
Jan 31, 2025 o3-mini system card 35.5 Political Persuasion Tweet Win Rates vs Prod GPT-4o, o3-mini (Post-Mitigation), near-final checkpoint, printed chart label (5.6.2) Persuasion
Dec 5, 2024 o1 system card 47.1 Political Persuasion Tweet Win Rates vs Prod GPT-4o, o1 (pre-mitigation), post-mitigation not shown because it refuses (5.7.2) Persuasion
Sep 12, 2024 o1-preview system card 53.8 Persuasion Parallel Generation win rate vs GPT-4o, o1-preview (post-mitigation), text 53.8% (chart label 53.9%) (4.4.2) Persuasion
Sep 12, 2024 o1-mini system card 46.8 Persuasion Parallel Generation win rate vs GPT-4o, o1-mini (post-mitigation), printed chart label (4.4.2) Persuasion

More in Safety and alignment

All 465 in Safety and alignment
  • FORTRESS In use Paired adversarial and benign national-security misuse prompts. Rubric-graded risk score on adversarial and over-refusal score on benign prompts. Claude Opus 5.5 5.78%
  • StrongREJECT In use Forbidden-prompt jailbreak benchmark with a rubric grader that scores how useful a non-refusal actually is. Inkling 98.6%
  • Gray Swan IPI Arena benchmark In use Indirect prompt-injection attacks from public red-teaming competitions replayed on tool, coding and browser agents. Attack success rate at k attempts. Gemini 4 Carbon 0%
  • DistressBench In use Models reply as a chatbot to 718 simulated users in psychological crisis, in single-turn and multi-turn chats. Three judge models score replies against clinician-written rubrics. Muse Spark 1.2 88.4%
  • Lakera B3 (Backbone Breaker Benchmark) In use Crowdsourced prompt-injection attacks hit backbone LLMs inside agent threat snapshots at three defense levels. The score is attack resistance, 100 minus the board's vulnerability percentage. Claude Opus 4.5 89%
  • IHEval In use Models face conflicts between system, user and tool instructions. Reports a composite score for following the higher-priority instruction. GPT-4o 70%