Misguided Attention
Models get slight variations of famous riddles, paradoxes and thought experiments. A model fails when it answers the well-known original instead of the problem as stated.
Version 0.3 (2025-01) added an evaluation subset with tagged releases. About 490 GitHub stars.
- Level
- Everyday Most adults, without training
- Scored
- Graded by a model A language model scores each response, usually against a rubric.
- Answers
- Open-ended Free-form text, documents, designs or media judged as a whole.
Grok-3 mini leads with 73.7% among models released by Jun 2025
Best score per entry from the benchmark's own leaderboard, read on 2 Nov 2026. Where a model ran with several settings or harnesses, we keep its best. Every run is in the next chart. Names in gray aren't in our model list: fine-tunes, agent systems, products and older models. They don't count toward leaders.
The newest model with a score here came out in Jun 2025, and nobody has tested a newer one. Among the 20 highest-ranked models on the capability index, these have no score yet:
- GPT-6 Astra
- Claude Opus 5.5
- GPT-6.1 Terra
- GPT-6.1 Sol
- and 16 more
- 73.7 Grok-3 mini
- 68.6 Claude Sonnet 4
- 67.1
DeepSeek-R1
- 64.1 Claude Opus 4
- 63.5
Gemini 2.5 Flash
- 62.5
Gemini 2.5 Flash
- 58.8
Gemini 2.5 Pro
- 57.4
Llama-3.3-Nemotron-Super-49B-v1
- 57.4
Gemini 2.5 Pro
- 56.1 Claude 3.7 Sonnet
- 56.1
QwQ-32B
- 55.2
Gemini 2.5 Pro
- 55.1
DeepSeek-R1
- 55.1 Grok 3
- 53.5
DeepSeek-V3
- 53.5 GLM-Z1-32B-0414
- 51.7
Magistral Medium 1.0
- 50.6
Mistral Medium 3
- 49.4 o4-mini-high-long
- 49.0
Qwen3-235B-A22B
- 48.7 GPT-4.1 mini
- 48.4 DeepHermes-3-Mistral-24B-Pre
- 48.4
Phi-4-Reasoning-plus
- 47.4 optimus-alpha
- 46.8 o3-mini
- 44.2 GPT-4.1
- 43.6
Qwen3-30B-A3B
- 42.9 o4-mini
- 42.6
DeepSeek-R1-Distill-Llama-70B
- 40.7 quasar-alpha
- 37.2 Claude 3.5 Sonnet (October 2024)
- 36.5
MiniMax-Text-01
- 35.9
Llama 4 Scout
- 35.3
Llama 3.3 70B Instruct
- 34.6
Gemini 2.0 Pro
- 33.7 GPT-4o
- 32.1 GPT-4o
- 31.4 Hermes-3-Llama-3.1-70B
- 31.4
Qwen2.5-Max
- 30.1
Cohere Command A
- 29.5
Llama 4 Maverick
- 28.2
Gemini 2.0 Flash
- 27.9
Mistral Small 3
- 26.9
DeepSeek-V3
- 26.6 GPT-4.1 nano
- 26.0
Mistral Small 3.1
- 25.0 Jamba 1.6 Large
- 23.4
Gemma 3 27B
- 22.9 gemini-exp-1206
- 22.8
Gemma 3n E4B
- 19.2
OLMo 2 32B Instruct
- 1 Grok-3 mini thinking 73.7%
- 2 Claude Sonnet 4 thinking 68.6%
- 3
DeepSeek-R1 May 2025 67.1%
- 4 Claude Opus 4 64.1%
- 5
Gemini 2.5 Flash May 2025, thinking 63.5%
- 6
Gemini 2.5 Flash Jun 2025, high 62.5%
- 7
Gemini 2.5 Pro May 2025 58.8%
- 8
Llama-3.3-Nemotron-Super-49B-v1 thinking 57.4%
- 9
Gemini 2.5 Pro Jun 2025, low 57.4%
- 10 Claude 3.7 Sonnet thinking 56.1%
- 11
QwQ-32B 56.1%
- 12
Gemini 2.5 Pro Mar 2025 55.2%
- 13
DeepSeek-R1 55.1%
- 14 Grok 3 55.1%
- 15
DeepSeek-V3 Mar 2025 53.5%
- 16 GLM-Z1-32B-0414 53.5%
- 17
Magistral Medium 1.0 thinking 51.7%
- 18
Mistral Medium 3 50.6%
- 19 o4-mini-high-long 49.4%
- 20
Qwen3-235B-A22B thinking 49%
- 21 GPT-4.1 mini 48.7%
- 22 DeepHermes-3-Mistral-24B-Pre 48.4%
- 23
Phi-4-Reasoning-plus 48.4%
- 24 optimus-alpha 47.4%
- 25 o3-mini 46.8%
- 26 GPT-4.1 44.2%
- 27
Qwen3-30B-A3B thinking 43.6%
- 28 o4-mini high 42.9%
- 29
DeepSeek-R1-Distill-Llama-70B 42.6%
- 30 quasar-alpha 40.7%
- 31 Claude 3.5 Sonnet (October 2024) 37.2%
- 32
MiniMax-Text-01 36.5%
- 33
Llama 4 Scout 35.9%
- 34
Llama 3.3 70B Instruct 35.3%
- 35
Gemini 2.0 Pro 34.6%
- 36 GPT-4o Nov 2024 33.7%
- 37 GPT-4o Jan 2025 32.1%
- 38 Hermes-3-Llama-3.1-70B 31.4%
- 39
Qwen2.5-Max 31.4%
- 40
Cohere Command A 30.1%
- 41
Llama 4 Maverick 29.5%
- 42
Gemini 2.0 Flash Feb 2025 28.2%
- 43
Mistral Small 3 27.9%
- 44
DeepSeek-V3 26.9%
- 45 GPT-4.1 nano 26.6%
- 46
Mistral Small 3.1 26%
- 47 Jamba 1.6 Large 25%
- 48
Gemma 3 27B 23.4%
- 49 gemini-exp-1206 22.9%
- 50
Gemma 3n E4B 22.8%
- 51
OLMo 2 32B Instruct 19.2%
| # | Entry | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | Grok-3 mini | 73.7% | thinking | Apr 2025 | Official leaderboard |
| 2 | Claude Sonnet 4 | 68.6% | thinking | May 2025 | Official leaderboard |
| 3 | | 67.1% | May 2025 | Official leaderboard | |
| 4 | Claude Opus 4 | 64.1% | May 2025 | Official leaderboard | |
| 5 | | 63.5% | thinking | May 2025 | Official leaderboard |
| 6 | | 62.5% | high | Jun 2025 | Official leaderboard |
| 7 | | 58.8% | May 2025 | Official leaderboard | |
| 8 | | 57.4% | thinking | Mar 2025 | Official leaderboard |
| 9 | | 57.4% | low | Jun 2025 | Official leaderboard |
| 10 | Claude 3.7 Sonnet | 56.1% | thinking | Feb 2025 | Official leaderboard |
| 11 | | 56.1% | Mar 2025 | Official leaderboard | |
| 12 | | 55.2% | Mar 2025 | Official leaderboard | |
| 13 | | 55.1% | Jan 2025 | Official leaderboard | |
| 14 | Grok 3 | 55.1% | Apr 2025 | Official leaderboard | |
| 15 | | 53.5% | Mar 2025 | Official leaderboard | |
| 16 | GLM-Z1-32B-0414 | 53.5% | Apr 2025 | Official leaderboard | |
| 17 | | 51.7% | thinking | Jun 2025 | Official leaderboard |
| 18 | | 50.6% | May 2025 | Official leaderboard | |
| 19 | o4-mini-high-long | 49.4% | Official leaderboard | ||
| 20 | | 49% | thinking | Apr 2025 | Official leaderboard |
| 21 | GPT-4.1 mini | 48.7% | Apr 2025 | Official leaderboard | |
| 22 | DeepHermes-3-Mistral-24B-Pre | 48.4% | Official leaderboard | ||
| 23 | | 48.4% | Apr 2025 | Official leaderboard | |
| 24 | optimus-alpha | 47.4% | Official leaderboard | ||
| 25 | o3-mini | 46.8% | Jan 2025 | Official leaderboard | |
| 26 | GPT-4.1 | 44.2% | Apr 2025 | Official leaderboard | |
| 27 | | 43.6% | thinking | Apr 2025 | Official leaderboard |
| 28 | o4-mini | 42.9% | high | Apr 2025 | Official leaderboard |
| 29 | | 42.6% | Jan 2025 | Official leaderboard | |
| 30 | quasar-alpha | 40.7% | Official leaderboard | ||
| 31 | Claude 3.5 Sonnet (October 2024) | 37.2% | Oct 2024 | Official leaderboard | |
| 32 | | 36.5% | Jan 2025 | Official leaderboard | |
| 33 | | 35.9% | Apr 2025 | Official leaderboard | |
| 34 | | 35.3% | Dec 2024 | Official leaderboard | |
| 35 | | 34.6% | Feb 2025 | Official leaderboard | |
| 36 | GPT-4o Nov 2024 | 33.7% | Nov 2024 | Official leaderboard | |
| 37 | GPT-4o Jan 2025 | 32.1% | Jan 2025 | Official leaderboard | |
| 38 | Hermes-3-Llama-3.1-70B | 31.4% | Official leaderboard | ||
| 39 | | 31.4% | Jan 2025 | Official leaderboard | |
| 40 | | 30.1% | Mar 2025 | Official leaderboard | |
| 41 | | 29.5% | Apr 2025 | Official leaderboard | |
| 42 | | 28.2% | Feb 2025 | Official leaderboard | |
| 43 | | 27.9% | Jan 2025 | Official leaderboard | |
| 44 | | 26.9% | Dec 2024 | Official leaderboard | |
| 45 | GPT-4.1 nano | 26.6% | Apr 2025 | Official leaderboard | |
| 46 | | 26% | Mar 2025 | Official leaderboard | |
| 47 | Jamba 1.6 Large | 25% | Mar 2025 | Official leaderboard | |
| 48 | | 23.4% | Mar 2025 | Official leaderboard | |
| 49 | gemini-exp-1206 | 22.9% | Official leaderboard | ||
| 50 | | 22.8% | Jun 2025 | Official leaderboard | |
| 51 | | 19.2% | Mar 2025 | Official leaderboard |
Scores at each effort level
Models the leaderboard ran at two or more effort levels. We don’t have enough cost data here to say what the extra effort costs.
5 models have held number one since its release in May 2024
Lab claims count from the day the card came out, independent runs from the model’s release.
Scores over time
All the scores we have, one dot each, so a model tested at several settings appears more than once.
No lab model card reports it yet
We read the headline results of 479 launch posts from 51 labs, and none of them list this benchmark.
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