BuzzBench
Models analyze humor, such as why a joke or comic piece works. The leaderboard reports a score and response length per model.
The site calls it a humor analysis benchmark. The grading method was not read, so scoring type needs a check.
- 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.
Gemini 2.5 Pro leads with 71.1 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. 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
- 71.1
Gemini 2.5 Pro
- 69.1 GPT-4o
- 68.2 Claude 3.7 Sonnet
- 67.8 quasar-alpha
- 67.1 GPT-4.1
- 62.7
DeepSeek-R1
- 61.9 Claude 3.5 Sonnet
- 59.5 chatgpt-4o-latest
- 59.3 o1
- 54.9 gemini-pro-1.5
- 54.4
Gemini 2.0 Flash
- 53.3 Claude 3.5 Haiku
- 51.8 Grok-2
- 51.6
DeepSeek-V3
- 47.5
Mistral Large 2
- 46.2 o1-mini
- 45.9
Llama 3.1-405B
- 45.9
Qwen2.5-72B
- 45.7
Llama 3.3 70B Instruct
- 39.0 GPT-3.5 Turbo
- 38.7
Phi-4
- 32.9
Llama 3.1-8B
- 32.3
Ministral 8B
- 31.4
Qwen2.5-7B
- 26.6
Llama 3.2 3B
- 9.51
Llama 3.2 1B
- 1
Gemini 2.5 Pro Jun 2025 71.1
- 2 GPT-4o Mar 2025 69.1
- 3 Claude 3.7 Sonnet 68.2
- 4 quasar-alpha 67.8
- 5 GPT-4.1 67.1
- 6
DeepSeek-R1 May 2025 62.7
- 7 Claude 3.5 Sonnet 61.9
- 8 chatgpt-4o-latest 59.5
- 9 o1 59.3
- 10 gemini-pro-1.5 54.9
- 11
Gemini 2.0 Flash Feb 2025 54.4
- 12 Claude 3.5 Haiku 53.3
- 13 Grok-2 Dec 2024 51.8
- 14
DeepSeek-V3 Mar 2025 51.6
- 15
Mistral Large 2 Nov 2024 47.5
- 16 o1-mini 46.2
- 17
Llama 3.1-405B 45.9
- 18
Qwen2.5-72B 45.9
- 19
Llama 3.3 70B Instruct 45.7
- 20 GPT-3.5 Turbo Jun 2023 39.0
- 21
Phi-4 38.7
- 22
Llama 3.1-8B 32.9
- 23
Ministral 8B 32.3
- 24
Qwen2.5-7B 31.4
- 25
Llama 3.2 3B 26.6
- 26
Llama 3.2 1B 9.51
| # | Entry | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | | 71.1 | Jun 2025 | Official leaderboard | |
| 2 | GPT-4o Mar 2025 | 69.1 | Mar 2025 | Official leaderboard | |
| 3 | Claude 3.7 Sonnet | 68.2 | Feb 2025 | Official leaderboard | |
| 4 | quasar-alpha | 67.8 | Official leaderboard | ||
| 5 | GPT-4.1 | 67.1 | Apr 2025 | Official leaderboard | |
| 6 | | 62.7 | May 2025 | Official leaderboard | |
| 7 | Claude 3.5 Sonnet | 61.9 | Jun 2024 | Official leaderboard | |
| 8 | chatgpt-4o-latest | 59.5 | Official leaderboard | ||
| 9 | o1 | 59.3 | Dec 2024 | Official leaderboard | |
| 10 | gemini-pro-1.5 | 54.9 | Official leaderboard | ||
| 11 | | 54.4 | Feb 2025 | Official leaderboard | |
| 12 | Claude 3.5 Haiku | 53.3 | Oct 2024 | Official leaderboard | |
| 13 | Grok-2 Dec 2024 | 51.8 | Dec 2024 | Official leaderboard | |
| 14 | | 51.6 | Mar 2025 | Official leaderboard | |
| 15 | | 47.5 | Nov 2024 | Official leaderboard | |
| 16 | o1-mini | 46.2 | Sep 2024 | Official leaderboard | |
| 17 | | 45.9 | Jul 2024 | Official leaderboard | |
| 18 | | 45.9 | Sep 2024 | Official leaderboard | |
| 19 | | 45.7 | Dec 2024 | Official leaderboard | |
| 20 | GPT-3.5 Turbo Jun 2023 | 39.0 | Jun 2023 | Official leaderboard | |
| 21 | | 38.7 | Dec 2024 | Official leaderboard | |
| 22 | | 32.9 | Jul 2024 | Official leaderboard | |
| 23 | | 32.3 | Oct 2024 | Official leaderboard | |
| 24 | | 31.4 | Sep 2024 | Official leaderboard | |
| 25 | | 26.6 | Sep 2024 | Official leaderboard | |
| 26 | | 9.51 | Sep 2024 | Official leaderboard |
5 models have held number one since 2023
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.
More in Writing and taste
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- WritingBench Fading Models complete 1,000 real-world writing requests across 6 domains and 100 subdomains. A judge model scores each reply on five query-specific criteria. GPT-5 83.9
- Creative Writing (MiniMax in-house) Only in system cards Models write creative pieces for real Hailuo AI user requests. Automatic assessments score the writing.
MiniMax-Text-01 81.3%
- DeepSeek Chinese functional writing evaluation Only in system cards Models answer 3,170 everyday Chinese writing prompts such as reports, emails and speeches. Pairwise judging against a baseline model gives a win rate.
DeepSeek-V4-Pro 62.6%
- Slide generation human evaluation (Z.ai) Only in system cards People compare HTML slide decks from two models on content, layout and visual quality. Metric is overall win rate. GLM-5 67.5%
- Task-dependent output homogenization evaluation Only in system cards Models answer prompts several times. A judge scores functional diversity where it is wanted and consistency where one answer is right.
Muse Spark 0.21