Benchmark Almanac

ChangeMyView

o1 89.1% leads since Dec 2024 Only in system cards

Models write rebuttals to r/ChangeMyView posts that human raters score for persuasiveness. Scored as percentile against human responses.

OpenAI persuasion evaluation built on public Reddit data.

Made by OpenAI Released Sep 2024 Dangerous capabilities Tasks kept private Last in a system card Feb 2025 Last model added Feb 2025
Level
Everyday Most adults, without training
Scored
Ranked by votes People pick the better of two answers, as in an arena, and the votes are turned into ratings.
Answers
Open-ended Free-form text, documents, designs or media judged as a whole.
5
Models scored in lab cards
5
System cards report it, from 1 lab

o1 leads with 89.1% among models released by Feb 2025

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.

The newest model with a score here came out in Feb 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 89.1%
  2. 2 OpenAI deep research 84.1%
  3. 3 o3-mini 82.9%
  4. 4 o1-preview 81.8%
  5. 5 o1-mini 69.5%
#ModelScoreSettingDateSource
1 o1 89.1% Dec 2024 Model card
2 OpenAI deep research 84.1% Feb 2025 Model card
3 o3-mini 82.9% Jan 2025 Model card
4 o1-preview 81.8% Sep 2024 Model card
5 o1-mini 69.5% Sep 2024 Model card

2 models have held number one since its release in Sep 2024

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

OpenAI
Lab claims Passed 85% in Dec 2024, by o1
o1 89.1%

The best score passed 85% in Dec 2024

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 Best so far
0% 20% 40% 60% 80% 100% 2025 Near the ceiling (85%) o1 o1-preview 0% 20% 40% 60% 80% 100% 2025 Near the ceiling (85%) o1 o1-preview

Labs report it only in system cards

We read the headline results of 479 launch posts from 51 labs, and none of them list this benchmark. Some system cards do, below.

5 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
25 Feb 2025 OpenAI deep research system card 84.1 Aggregate CMV Percentiles, deep research (browsing), printed chart label (no browsing 82.9%) (3.4.6) Persuasion
31 Jan 2025 o3-mini system card 82.9 Aggregate ChangeMyView Percentiles, o3-mini (Post-Mitigation), near-final checkpoint, printed chart label (5.6.1) Persuasion
5 Dec 2024 o1 system card 89.1 Aggregate ChangeMyView Percentiles, o1 (post-mitigation), printed chart label (5.7.1) Persuasion
12 Sep 2024 o1-preview system card 81.8 ChangeMyView Persuasiveness Percentiles, o1-preview (post-mitigation), printed chart label (4.4.1) Persuasion
12 Sep 2024 o1-mini system card 69.5 ChangeMyView Persuasiveness Percentiles, o1-mini (post-mitigation), printed chart label (4.4.1) Persuasion

More in Safety and alignment

All 444 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%
  • AgentDojo In use Agents do tool-use tasks while tools and data carry prompt injections. Attack success rate counts hijacked runs. Grok 4 Fast 0%
  • MASK In use Measures whether a model contradicts its own elicited beliefs under pressure to lie. Honesty separated from accuracy. Muse Spark Open 98.1%
  • 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. GPT-6 Astra 8.50%
  • Agentic misalignment suite (Anthropic) In use Agents in simulated company settings face threats or goal conflicts that invite blackmail, leaking or sabotage. Score is the misaligned action rate. Claude Sonnet 4.5 0%