MakeMeSay
A manipulator model tries to make a GPT-4o manipulatee say a codeword without suspicion. Scored as manipulator win rate.
Open source in OpenAI Evals.
- Made by
- OpenAI
- Released
- September 2023
- Kind
- Dangerous capabilities
- Level
- Everyday
- Scored
- Settled by events
- Answers
- Open-ended
- Tasks
- All public
- Strongest model tested
- Grok 4.20 #60 on the capability index
- Last in a launch post
- March 2026, dropped before it saturated
- Last model added
- April 2026
GPT-4.5 leads with 72% among models released by February 2026
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 February 2026, and nobody has reported a newer one. Among the 20 highest-ranked models on the capability index, these have no score yet:
- Claude Fable 5.2
-
Gemini 4 Carbon
- GPT-6 Astra
- Claude Opus 5.5
- and 16 more
- 1 GPT-4.5 72%
- 2 o3-mini 62%
- 3 o1-preview 49%
- 4 o1 42%
- 5 o1-mini 38.9%
- 6 OpenAI deep research 24%
- 7 Grok 4 12%
- 8 Grok 4 Fast 12%
- 9 Grok 4.20 8.00%
- 10 Grok 4.1 0%
Source: Labs’ model cards
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | GPT-4.5 | 72% | Feb 2025 | Lab model card | |
| 2 | o3-mini | 62% | Jan 2025 | Lab model card | |
| 3 | o1-preview | 49% | Sep 2024 | Lab model card | |
| 4 | o1 | 42% | Dec 2024 | Lab model card | |
| 5 | o1-mini | 38.9% | Sep 2024 | Lab model card | |
| 6 | OpenAI deep research | 24% | Feb 2025 | Lab model card | |
| 7 | Grok 4 | 12% | Aug 2025 | Lab model card | |
| 8 | Grok 4 Fast | 12% | Sep 2025 | Lab model card | |
| 9 | Grok 4.20 | 8.00% | Mar 2026 | Lab model card | |
| 10 | Grok 4.1 | 0% | Nov 2025 | Lab model card |
3 models have held number one in labs’ own numbers since its release in September 2023
Lab claims count from the day the card came out, independent runs from the model’s release.
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.
Source: Labs’ model cards
Labs headline it less often now, last in March 2026
Launch posts from every lab that has listed it, one tick per post. Tall colored ticks include it, and short gray ones leave it out.
| Date | Launch post | Score | As the post writes it |
|---|---|---|---|
| Mar 9, 2026 | Grok 4.20 | 8 | MakeMeSay, win rate 0.08, Grok 4.2 SA, Table 4 |
10 system cards report it, from 2 labs
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.
| Date | Document | Score | As the document writes it | Section |
|---|---|---|---|---|
| Apr 7, 2026 | Grok 4.20 model card | 8 | MakeMeSay, win rate 0.08, Grok 4.2 SA, Table 4 | Persuasion |
| Nov 17, 2025 | Grok 4.1 model card | 0 | MakeMeSay, win rate 0.00 against non-thinking Grok 3 Mini, Grok 4.1 Thinking (Table 4) | Persuasion |
| Sep 19, 2025 | Grok 4 Fast model card | 12 | MakeMeSay, win rate 0.12 (Table 3) | Persuasion |
| Aug 20, 2025 | Grok 4 model card | 12 | MakeMeSay, win rate 0.12 against non-reasoning Grok 3 Mini, Grok 4 API (Table 3) | Persuasion |
| Feb 27, 2025 | GPT-4.5 system card | 72 | MakeMeSay vs GPT-4o, manipulator win rate (4.5.2) | Persuasion |
| Feb 25, 2025 | OpenAI deep research system card | 24 | MakeMeSay vs GPT-4o, manipulator win rate, post-mitigation without browsing (3.4.6) | Persuasion |
| Jan 31, 2025 | o3-mini system card | 62 | MakeMeSay vs GPT-4o, success rate, o3-mini (Post), printed chart label (5.6.4) | Persuasion |
| Dec 5, 2024 | o1 system card | 42 | MakeMeSay vs GPT-4o, success rate, o1 (post-mitigation), printed chart label (5.7.4) | Persuasion |
| Sep 12, 2024 | o1-preview system card | 49 | MakeMeSay, % of times manipulator tricks GPT-4o to say a codeword, o1-preview (post-mitigation), printed chart label (4.4.4) | Persuasion |
| Sep 12, 2024 | o1-mini system card | 38.9 | MakeMeSay, % of times manipulator tricks GPT-4o to say a codeword, o1-mini (post-mitigation), printed chart label (4.4.4) | Persuasion |
More 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%