SEAL Multilingual
Models answer 1,000 private prompts per language, written by native speakers on general and cultural topics. Annotators rate each answer and compare pairs side by side, and boards rank models by Elo.
Spanish was a launch board covering Spain, Mexico and Latin America. Japanese, Chinese, Arabic and Korean boards followed. Spanish was deprecated in 2025-03 with 22 models, led by Gemini 2.0 Pro.
- Level
- Everyday Most adults, without training
- Scored
- Graded by people Human experts grade or compare the outputs.
- Answers
- Open-ended Free-form text, documents, designs or media judged as a whole.
Gemini 2.0 Pro (December 2024) tops the leaderboard with 1,176
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 best model we track is o1, at 1,134.
The newest model with a score here came out in Jan 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
- 1,176 Gemini 2.0 Pro (December 2024)
- 1,134 o1
- 1,119
Gemini 2.0 Flash
- 1,111 o1-preview
- 1,108
Gemini 2.0 Flash Thinking
- 1,105 Gemini 1.5 Pro (November 2024)
- 1,084 GPT-4o
- 1,079 o3-mini
- 1,069
Gemini 1.5 Pro
- 1,067 Gemini 1.5 Pro (August 27, 2024)
- 1,067 GPT-4o
- 1,034 GPT-4 Turbo
- 1,032
Mistral Large 2
- 1,020 GPT-4 Turbo
- 1,005
Gemini 1.5 Pro
- 992 Claude 3.5 Sonnet
- 983
Aya Expanse 32B
- 980
Gemini 1.5 Flash
- 951
Gemma 2 27B
- 944
Llama 3.2 90B
- 919 Claude 3 Opus
- 915
Llama 3.1-405B
Bars start at 900.
- 1 Gemini 2.0 Pro (December 2024) 1,176
- 2 o1 1,134
- 3
Gemini 2.0 Flash Dec 2024 1,119
- 4 o1-preview 1,111
- 5
Gemini 2.0 Flash Thinking Jan 2025 1,108
- 6 Gemini 1.5 Pro (November 2024) 1,105
- 7 GPT-4o May 2024 1,084
- 8 o3-mini high 1,079
- 9
Gemini 1.5 Pro May 2024 1,069
- 10 Gemini 1.5 Pro (August 27, 2024) 1,067
- 11 GPT-4o Aug 2024 1,067
- 12 GPT-4 Turbo Nov 2023 1,034
- 13
Mistral Large 2 Jul 2024 1,032
- 14 GPT-4 Turbo Apr 2024 1,020
- 15
Gemini 1.5 Pro Feb 2024 1,005
- 16 Claude 3.5 Sonnet 992
- 17
Aya Expanse 32B 983
- 18
Gemini 1.5 Flash May 2024 980
- 19
Gemma 2 27B 951
- 20
Llama 3.2 90B 944
- 21 Claude 3 Opus 919
- 22
Llama 3.1-405B 915
| # | Entry | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | Gemini 2.0 Pro (December 2024) | 1,176 | Official leaderboard | ||
| 2 | o1 | 1,134 | Dec 2024 | Official leaderboard | |
| 3 | | 1,119 | Dec 2024 | Official leaderboard | |
| 4 | o1-preview | 1,111 | Sep 2024 | Official leaderboard | |
| 5 | | 1,108 | Jan 2025 | Official leaderboard | |
| 6 | Gemini 1.5 Pro (November 2024) | 1,105 | Official leaderboard | ||
| 7 | GPT-4o May 2024 | 1,084 | May 2024 | Official leaderboard | |
| 8 | o3-mini | 1,079 | high | Jan 2025 | Official leaderboard |
| 9 | | 1,069 | May 2024 | Official leaderboard | |
| 10 | Gemini 1.5 Pro (August 27, 2024) | 1,067 | Official leaderboard | ||
| 11 | GPT-4o Aug 2024 | 1,067 | Aug 2024 | Official leaderboard | |
| 12 | GPT-4 Turbo Nov 2023 | 1,034 | Nov 2023 | Official leaderboard | |
| 13 | | 1,032 | Jul 2024 | Official leaderboard | |
| 14 | GPT-4 Turbo Apr 2024 | 1,020 | Apr 2024 | Official leaderboard | |
| 15 | | 1,005 | Feb 2024 | Official leaderboard | |
| 16 | Claude 3.5 Sonnet | 992 | Jun 2024 | Official leaderboard | |
| 17 | | 983 | Oct 2024 | Official leaderboard | |
| 18 | | 980 | May 2024 | Official leaderboard | |
| 19 | | 951 | Jun 2024 | Official leaderboard | |
| 20 | | 944 | Sep 2024 | Official leaderboard | |
| 21 | Claude 3 Opus | 919 | Feb 2024 | Official leaderboard | |
| 22 | | 915 | Jul 2024 | Official leaderboard |
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.
More in Multilingual
- MMMLU In use MMLU professionally translated into 14 languages. Multiple-choice accuracy. Claude Mythos Preview 92.7%
- WMT24++ In use English-to-55-language translation of WMT24 test data. Scored with automatic metrics such as MetricX or xCOMET.
K-EXAONE 90.5%
- MMLU-ProX In use MMLU-Pro translated into up to 29 languages with expert review. Multiple-choice accuracy per language.
Qwen3.7-Max 87%
- CLIcK In use Models answer 1,995 multiple-choice questions on Korean language and culture. Questions come from official Korean exams and textbooks in eleven categories.
Solar Open 2 90.7%
- Global MMLU Lite 3.0 In use Models answer 400 human-translated MMLU questions per language in 23 languages. Version 3.0 adds Czech, Hungarian, Oriya, Slovak and Tajik and updates Italian. Accuracy.
Inkling 88.7%
- MMMB In use Models answer multiple-choice questions about images in six languages across 15 categories. The set has about 12,000 questions. LFM2.5-VL-3B 83%