SIQA
Models answer multiple-choice questions about people's motives, reactions, and emotions in everyday social situations. Scored by accuracy.
Test labels are hidden, so model cards usually report the dev set.
- Made by
- Allen Institute for AI and University of Washington
- Released
- April 2019
- Kind
- Commonsense
- Level
- Everyday
- Scored
- Checked automatically
- Answers
- Multiple choice
- Tasks
- Public, plus a private test set
- Strongest model tested
-
Llama 3.1-405B #162 on the capability index
- Last in a launch post
- June 2025, dropped before it saturated
- Last model added
- October 2026
In the authors’ words
We introduce Social IQa, the first largescale benchmark for commonsense reasoning about social situations. Social IQa contains 38,000 multiple choice questions for probing emotional and social intelligence in a variety of everyday situations (e.g., Q: "Jordan wanted to tell Tracy a secret, so Jordan leaned towards Tracy. Why did Jordan do this?" A: "Make sure no one else could hear"). Through crowdsourcing, we collect commonsense questions along with correct and incorrect answers about social interactions, using a new framework that mitigates stylistic artifacts in incorrect answers by asking workers to provide the right answer to a different but related question. Empirical results show that our benchmark is challenging for existing question-answering models based on pretrained language models, compared to human performance (>20% gap). Notably, we further establish Social IQa as a resource for transfer learning of commonsense knowledge, achieving state-of-the-art performance on multiple commonsense reasoning tasks (Winograd Schemas, COPA).
phi-3-medium 14B leads with 80.2%
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.
- 80.2
phi-3-medium 14B
- 79.2
phi-3-small 7.4B
- 78.0
Phi-3.5-MoE
- 76.6
phi-3-mini 3.8B
- 74.7
Phi-3.5-mini
- 72.5
Phi-4 Mini
- 54.9
Gemma 3 27B
- 53.7
Gemma 2 27B
- 53.7
Llama 3.1-405B
- 53.4
Gemma 2 9B
- 53.4
Gemma 3 12B
- 52.2
Llama 3.1-70B
- 51.9
Gemma 3 4B
- 51.8
Gemma 7B
- 50.9
Llama 2-34B
- 50.7
Llama 2-70B
- 50.3
Llama 2-13B
- 50.0
Gemma 3n E4B
- 49.7
Gemma 2B
- 49.5
Llama 3.1-8B
- 49.0
Nemotron 3.5 Super 120B-A12B Base
- 48.9
Gemma 3 1B
- 48.3
Llama 2-7B
- 47.8
Nemotron 3.5 Lightning 30B-A3B Base
- 1
phi-3-medium 14B 80.2%
- 2
phi-3-small 7.4B 79.2%
- 3
Phi-3.5-MoE 78%
- 4
phi-3-mini 3.8B 76.6%
- 5
Phi-3.5-mini 74.7%
- 6
Phi-4 Mini 72.5%
- 7
Gemma 3 27B 54.9%
- 8
Gemma 2 27B 53.7%
- 9
Llama 3.1-405B 53.7%
- 10
Gemma 2 9B 53.4%
- 11
Gemma 3 12B 53.4%
- 12
Llama 3.1-70B 52.2%
- 13
Gemma 3 4B 51.9%
- 14
Gemma 7B 51.8%
- 15
Llama 2-34B 50.9%
- 16
Llama 2-70B 50.7%
- 17
Llama 2-13B 50.3%
- 18
Gemma 3n E4B 50%
- 19
Gemma 2B 49.7%
- 20
Llama 3.1-8B 49.5%
- 21
Nemotron 3.5 Super 120B-A12B Base 49%
- 22
Gemma 3 1B 48.9%
- 23
Llama 2-7B 48.3%
- 24
Nemotron 3.5 Lightning 30B-A3B Base 47.8%
Source: Labs’ model cards
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | | 80.2% | Apr 2024 | Lab model card | |
| 2 | | 79.2% | Aug 2024 | Lab model card | |
| 3 | | 78% | Aug 2024 | Lab model card | |
| 4 | | 76.6% | Aug 2024 | Lab model card | |
| 5 | | 74.7% | Aug 2024 | Lab model card | |
| 6 | | 72.5% | Feb 2025 | Lab model card | |
| 7 | | 54.9% | Mar 2025 | Lab model card | |
| 8 | | 53.7% | Jun 2024 | Lab model card | |
| 9 | | 53.7% | Nov 2024 | Lab model card | |
| 10 | | 53.4% | Jul 2024 | Lab model card | |
| 11 | | 53.4% | Mar 2025 | Lab model card | |
| 12 | | 52.2% | Nov 2024 | Lab model card | |
| 13 | | 51.9% | Mar 2025 | Lab model card | |
| 14 | | 51.8% | Feb 2024 | Lab model card | |
| 15 | | 50.9% | Jul 2023 | Lab model card | |
| 16 | | 50.7% | Jul 2023 | Lab model card | |
| 17 | | 50.3% | Jul 2023 | Lab model card | |
| 18 | | 50% | Jun 2025 | Lab model card | |
| 19 | | 49.7% | Mar 2024 | Lab model card | |
| 20 | | 49.5% | Nov 2024 | Lab model card | |
| 21 | | 49% | Oct 2026 | Lab model card | |
| 22 | | 48.9% | Mar 2025 | Lab model card | |
| 23 | | 48.3% | Jul 2023 | Lab model card | |
| 24 | | 47.8% | Oct 2026 | Lab model card |
3 models have held number one in labs’ own numbers since 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
No launch post has listed it since June 2025
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 |
|---|---|---|---|
| Jun 26, 2025 | 50 | SocialIQA 0-shot (PT) | |
| Mar 12, 2025 | 54.9 | SocialIQA 0-shot (PT) | |
| Feb 26, 2025 | 72.5 | Social IQA (5-shot) | |
| Aug 20, 2024 | 78 | Social IQA (5-shot) | |
| Jun 27, 2024 | 53.7 | SocialIQA (0-shot) | |
| Apr 22, 2024 | 80.2 | SociQA (5-Shot) | |
| Feb 21, 2024 | 51.8 | SocialIQA (0-shot) | |
| Dec 12, 2023 | SIQA (in Commonsense Reasoning average only) |
23 system cards report it, from 4 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 |
|---|---|---|---|---|
| Oct 15, 2026 | | 49 | SocialIQA, 0-shot acc, Table 6 | Capabilities |
| Oct 15, 2026 | | 47.8 | SocialIQA, 0-shot acc, Table 6 | Capabilities |
| Mar 25, 2025 | | 51.9 | SIQA, PT, 0-shot (Table 9) | Capabilities |
| Mar 25, 2025 | | 54.9 | SIQA, PT, 0-shot (Table 9) | Capabilities |
| Mar 25, 2025 | | 48.9 | SIQA, PT, 0-shot (Table 9) | Capabilities |
| Mar 25, 2025 | | 53.4 | SIQA, PT, 0-shot (Table 9) | Capabilities |
| Mar 3, 2025 | | 72.5 | SociQA (5-Shot) (Table 7) | Capabilities |
| Nov 23, 2024 | | 49.5 | SiQA, pretrained (Table 11) | Capabilities |
| Nov 23, 2024 | | 52.2 | SiQA, pretrained (Table 11) | Capabilities |
| Nov 23, 2024 | | 53.7 | SiQA, pretrained (Table 11) | Capabilities |
| Aug 30, 2024 | | 79.2 | SociQA (5-Shot) (Section 3 table) | Capabilities |
| Aug 30, 2024 | | 76.6 | SociQA (5-Shot) (Section 3 table) | Capabilities |
| Aug 30, 2024 | | 80.2 | SociQA (5-Shot) (Section 3 table) | Capabilities |
| Aug 30, 2024 | | 78 | Social IQA (5-shot) (Table 3) | Capabilities |
| Aug 30, 2024 | | 74.7 | Social IQA (5-shot) (Table 3) | Capabilities |
| Jul 31, 2024 | | 53.4 | SIQA, PT, 0-shot (Table 13) | Capabilities |
| Jul 31, 2024 | | 53.7 | SIQA, PT, 0-shot (Table 13) | Capabilities |
| Mar 13, 2024 | | 51.8 | SIQA, PT, 0-shot (Table 6) | Capabilities |
| Mar 13, 2024 | | 49.7 | SIQA, PT, 0-shot (Table 6) | Capabilities |
| Jul 19, 2023 | | 48.3 | SIQA, 0-shot, pretrained (Table 20) | Capabilities |
| Jul 19, 2023 | | 50.7 | SIQA, 0-shot, pretrained (Table 20) | Capabilities |
| Jul 19, 2023 | | 50.9 | SIQA, 0-shot, pretrained (Table 20) | Capabilities |
| Jul 19, 2023 | | 50.3 | SIQA, 0-shot, pretrained (Table 20) | Capabilities |
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Seed2.0 Pro 73.6%