ERQA
400 multiple-choice visual questions from robot and egocentric footage on spatial, trajectory, action and state reasoning. Accuracy.
Not saturated: best 78.5 (Gemini Robotics ER 2, DeepMind chart), chance ~25%. Source tables (DeepMind, Unitree, Embodied Arena) use different setups. Do not pool.
- Made by
- Google DeepMind
- Released
- March 2025
- Kind
- Embodied reasoning
- Level
- Everyday
- Scored
- Checked automatically
- Answers
- Multiple choice
- Tasks
- All public
- Strongest model tested
-
Qwen 3.8 Max #29 on the capability index
- Last in a launch post
- September 2026
- Last model added
- October 2026
- Scores refreshed
- November 12th, 2026
Gemini Robotics ER 2 leads with 78.5%
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.
Gemini 2.5 Pro leads with 55.6% across all independent runs
Best score per model across the official leaderboard, Epoch AI’s own runs and any board Epoch AI copied. Each bar and row names its source.
Gemini Robotics ER 2 leads with 78.5%, claims included
Best score per model from every source, including labs’ own numbers and claims Epoch AI collected from reports and papers. Labs pick their own settings, so a claim can beat an independent run of the same model.
- 78.5
Gemini Robotics ER 2
- 78.3
Qwen3.8 Max (0902)
- 77.8
Qwen 3.8 Max
- 72.3
Qwen3.8 Flash
- 72.0
Seed2.1 Pro
- 71.5
Seed2.0 Lite (0428)
- 71.0
Qwen3.8-Omni-Flash
- 69.8
Qwen3.7-Plus
- 68.5
Seed2.0 Pro
- 67.5
Qwen3.5 397B-A17B
- 65.7 GPT-5
- 65.7
Qwen 3.6 Plus
- 65.5
Qwen 3.8 27B
- 64.8
Qwen3.5-35B-A3B
- 64.7
Muse Spark
- 62.9 GPT-5 mini
- 62.5
Qwen3.6 27B
- 62.0
Qwen3.5-122B-A10B
- 60.5
Qwen3.5-27B
- 58.8
Seed1.8
- 57.5
Nemotron 3.5 Super VL
- 55.5
Qwen3.5-9B
- 54.8
gemini-robotics-er-1.5-preview
- 54.8
Qwen3.5-Omni-Plus
- 54.0
Qwen3.5-4B
- 52.5
Qwen3-VL-235B-A22B
- 50.1 GPT-5 nano
- 50.0 GLM-4.5V
- 48.9
STEP3-VL-10B
- 47.8 GLM-4.6V
- 46.8
InternVL3.5-241B-A28B
- 45.8 GLM-4.1V-9B-Thinking
- 44.0
Cosmos3-Nano
- 43.8
Qwen3.5-2B
- 42.0
Cosmos3-Edge
- 34.5
Qwen3.5-0.8B
- 1
Gemini Robotics ER 2 78.5%
- 2
Qwen3.8 Max (0902) 78.3%
- 3
Qwen 3.8 Max 77.8%
- 4
Qwen3.8 Flash 72.3%
- 5
Seed2.1 Pro 72%
- 6
Seed2.0 Lite (0428) 71.5%
- 7
Qwen3.8-Omni-Flash 71%
- 8
Qwen3.7-Plus 69.8%
- 9
Seed2.0 Pro 68.5%
- 10
Qwen3.5 397B-A17B 67.5%
- 11 GPT-5 65.7%
- 12
Qwen 3.6 Plus 65.7%
- 13
Qwen 3.8 27B 65.5%
- 14
Qwen3.5-35B-A3B 64.8%
- 15
Muse Spark 64.7%
- 16 GPT-5 mini 62.9%
- 17
Qwen3.6 27B 62.5%
- 18
Qwen3.5-122B-A10B 62%
- 19
Qwen3.5-27B 60.5%
- 20
Seed1.8 58.8%
- 21
Nemotron 3.5 Super VL 57.5%
- 22
Qwen3.5-9B 55.5%
- 23
gemini-robotics-er-1.5-preview 54.8%
- 24
Qwen3.5-Omni-Plus 54.8%
- 25
Qwen3.5-4B 54%
- 26
Qwen3-VL-235B-A22B 52.5%
- 27 GPT-5 nano 50.1%
- 28 GLM-4.5V 50%
- 29
STEP3-VL-10B 48.9%
- 30 GLM-4.6V 47.8%
- 31
InternVL3.5-241B-A28B 46.8%
- 32 GLM-4.1V-9B-Thinking 45.8%
- 33
Cosmos3-Nano 44%
- 34
Qwen3.5-2B 43.8%
- 35
Cosmos3-Edge 42%
- 36
Qwen3.5-0.8B 34.5%
Source: Labs’ model cards
- 55.6
Gemini 2.5 Pro
- 41.7
InternVL3-38B
- 41.5 o3
- 41.5 GPT-5.2
- 40.2
Gemini 2.0 Flash
- 39.3 Qwen-VL-Max
- 38.8
InternVL3-14B
- 37.1
InternVL3-8B
- 36.3
InternVL3.5-8B
- 34.8 GPT-4o
- 34.4
LLaVA-OneVision 7B
- 34.4 Qwen2-VL-7B-Instruct
- 34.4
Qwen2.5-VL-7B
- 33.6
VILA1.5-13B
- 32.6
Qwen2.5-VL-3B
- 30.7 o4-mini
- 14.3 Claude 3.7 Sonnet
- 1
Gemini 2.5 Pro Jun 2025 55.6%
- 2
InternVL3-38B 41.7%
- 3 o3 41.5%
- 4 GPT-5.2 41.5%
- 5
Gemini 2.0 Flash Feb 2025 40.2%
- 6 Qwen-VL-Max 39.3%
- 7
InternVL3-14B 38.8%
- 8
InternVL3-8B 37.1%
- 9
InternVL3.5-8B 36.3%
- 10 GPT-4o Mar 2025 34.8%
- 11
LLaVA-OneVision 7B 34.4%
- 12 Qwen2-VL-7B-Instruct 34.4%
- 13
Qwen2.5-VL-7B 34.4%
- 14
VILA1.5-13B 33.6%
- 15
Qwen2.5-VL-3B 32.6%
- 16 o4-mini 30.7%
- 17 Claude 3.7 Sonnet 14.3%
Source: Official ERQA leaderboard
- 78.5
Gemini Robotics ER 2
- 78.3
Qwen3.8 Max (0902)
- 77.8
Qwen 3.8 Max
- 72.3
Qwen3.8 Flash
- 72.0
Seed2.1 Pro
- 71.5
Seed2.0 Lite (0428)
- 71.0
Qwen3.8-Omni-Flash
- 69.8
Qwen3.7-Plus
- 68.5
Seed2.0 Pro
- 67.5
Qwen3.5 397B-A17B
- 65.7 GPT-5
- 65.7
Qwen 3.6 Plus
- 65.5
Qwen 3.8 27B
- 64.8
Qwen3.5-35B-A3B
- 64.7
Muse Spark
- 62.9 GPT-5 mini
- 62.5
Qwen3.6 27B
- 62.0
Qwen3.5-122B-A10B
- 60.5
Qwen3.5-27B
- 58.8
Seed1.8
- 57.5
Nemotron 3.5 Super VL
- 55.6
Gemini 2.5 Pro
- 55.5
Qwen3.5-9B
- 54.8
gemini-robotics-er-1.5-preview
- 54.8
Qwen3.5-Omni-Plus
- 54.0
Qwen3.5-4B
- 52.5
Qwen3-VL-235B-A22B
- 50.1 GPT-5 nano
- 50.0 GLM-4.5V
- 48.9
STEP3-VL-10B
- 47.8 GLM-4.6V
- 46.8
InternVL3.5-241B-A28B
- 45.8 GLM-4.1V-9B-Thinking
- 44.0
Cosmos3-Nano
- 43.8
Qwen3.5-2B
- 42.0
Cosmos3-Edge
- 41.7
InternVL3-38B
- 41.5 o3
- 41.5 GPT-5.2
- 40.2
Gemini 2.0 Flash
- 39.3 Qwen-VL-Max
- 38.8
InternVL3-14B
- 37.1
InternVL3-8B
- 36.3
InternVL3.5-8B
- 34.8 GPT-4o
- 34.5
Qwen3.5-0.8B
- 34.4
LLaVA-OneVision 7B
- 34.4 Qwen2-VL-7B-Instruct
- 34.4
Qwen2.5-VL-7B
- 33.6
VILA1.5-13B
- 32.6
Qwen2.5-VL-3B
- 30.7 o4-mini
- 14.3 Claude 3.7 Sonnet
- 1
Gemini Robotics ER 2 78.5%
- 2
Qwen3.8 Max (0902) 78.3%
- 3
Qwen 3.8 Max 77.8%
- 4
Qwen3.8 Flash 72.3%
- 5
Seed2.1 Pro 72%
- 6
Seed2.0 Lite (0428) 71.5%
- 7
Qwen3.8-Omni-Flash 71%
- 8
Qwen3.7-Plus 69.8%
- 9
Seed2.0 Pro 68.5%
- 10
Qwen3.5 397B-A17B 67.5%
- 11 GPT-5 65.7%
- 12
Qwen 3.6 Plus 65.7%
- 13
Qwen 3.8 27B 65.5%
- 14
Qwen3.5-35B-A3B 64.8%
- 15
Muse Spark 64.7%
- 16 GPT-5 mini 62.9%
- 17
Qwen3.6 27B 62.5%
- 18
Qwen3.5-122B-A10B 62%
- 19
Qwen3.5-27B 60.5%
- 20
Seed1.8 58.8%
- 21
Nemotron 3.5 Super VL 57.5%
- 22
Gemini 2.5 Pro Jun 2025 55.6%
- 23
Qwen3.5-9B 55.5%
- 24
gemini-robotics-er-1.5-preview 54.8%
- 25
Qwen3.5-Omni-Plus 54.8%
- 26
Qwen3.5-4B 54%
- 27
Qwen3-VL-235B-A22B 52.5%
- 28 GPT-5 nano 50.1%
- 29 GLM-4.5V 50%
- 30
STEP3-VL-10B 48.9%
- 31 GLM-4.6V 47.8%
- 32
InternVL3.5-241B-A28B 46.8%
- 33 GLM-4.1V-9B-Thinking 45.8%
- 34
Cosmos3-Nano 44%
- 35
Qwen3.5-2B 43.8%
- 36
Cosmos3-Edge 42%
- 37
InternVL3-38B 41.7%
- 38 o3 41.5%
- 39 GPT-5.2 41.5%
- 40
Gemini 2.0 Flash Feb 2025 40.2%
- 41 Qwen-VL-Max 39.3%
- 42
InternVL3-14B 38.8%
- 43
InternVL3-8B 37.1%
- 44
InternVL3.5-8B 36.3%
- 45 GPT-4o Mar 2025 34.8%
- 46
Qwen3.5-0.8B 34.5%
- 47
LLaVA-OneVision 7B 34.4%
- 48 Qwen2-VL-7B-Instruct 34.4%
- 49
Qwen2.5-VL-7B 34.4%
- 50
VILA1.5-13B 33.6%
- 51
Qwen2.5-VL-3B 32.6%
- 52 o4-mini 30.7%
- 53 Claude 3.7 Sonnet 14.3%
Sources: Labs’ model cards and official ERQA leaderboard
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | | 78.5% | Jul 2026 | Lab model card | |
| 2 | | 78.3% | Sep 2026 | Lab model card | |
| 3 | | 77.8% | Aug 2026 | Lab model card | |
| 4 | | 72.3% | Aug 2026 | Lab model card | |
| 5 | | 72% | Jun 2026 | Lab model card | |
| 6 | | 71.5% | Apr 2026 | Lab model card | |
| 7 | | 71% | Sep 2026 | Lab model card | |
| 8 | | 69.8% | Jun 2026 | Lab model card | |
| 9 | | 68.5% | Feb 2026 | Lab model card | |
| 10 | | 67.5% | Feb 2026 | Lab model card | |
| 11 | GPT-5 | 65.7% | Aug 2025 | Lab model card | |
| 12 | | 65.7% | Apr 2026 | Lab model card | |
| 13 | | 65.5% | Aug 2026 | Lab model card | |
| 14 | | 64.8% | Feb 2026 | Lab model card | |
| 15 | | 64.7% | Apr 2026 | Lab model card | |
| 16 | GPT-5 mini | 62.9% | Aug 2025 | Lab model card | |
| 17 | | 62.5% | Apr 2026 | Lab model card | |
| 18 | | 62% | Feb 2026 | Lab model card | |
| 19 | | 60.5% | Feb 2026 | Lab model card | |
| 20 | | 58.8% | Dec 2025 | Lab model card | |
| 21 | | 57.5% | Oct 2026 | Lab model card | |
| 22 | | 55.5% | Mar 2026 | Lab model card | |
| 23 | | 54.8% | Sep 2025 | Lab model card | |
| 24 | | 54.8% | Mar 2026 | Lab model card | |
| 25 | | 54% | Mar 2026 | Lab model card | |
| 26 | | 52.5% | Sep 2025 | Lab model card | |
| 27 | GPT-5 nano | 50.1% | Aug 2025 | Lab model card | |
| 28 | GLM-4.5V | 50% | Aug 2025 | Lab model card | |
| 29 | | 48.9% | Jan 2026 | Lab model card | |
| 30 | GLM-4.6V | 47.8% | Jan 2026 | Lab model card | |
| 31 | | 46.8% | Aug 2025 | Lab model card | |
| 32 | GLM-4.1V-9B-Thinking | 45.8% | Jul 2025 | Lab model card | |
| 33 | | 44% | May 2026 | Lab model card | |
| 34 | | 43.8% | Mar 2026 | Lab model card | |
| 35 | | 42% | May 2026 | Lab model card | |
| 36 | | 34.5% | Mar 2026 | Lab model card |
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | | 55.6% | Jun 2025 | Official leaderboard | |
| 2 | | 41.7% | Apr 2025 | Official leaderboard | |
| 3 | o3 | 41.5% | Apr 2025 | Official leaderboard | |
| 4 | GPT-5.2 | 41.5% | Dec 2025 | Official leaderboard | |
| 5 | | 40.2% | Feb 2025 | Official leaderboard | |
| 6 | Qwen-VL-Max | 39.3% | Jan 2024 | Official leaderboard | |
| 7 | | 38.8% | Apr 2025 | Official leaderboard | |
| 8 | | 37.1% | Apr 2025 | Official leaderboard | |
| 9 | | 36.3% | Aug 2025 | Official leaderboard | |
| 10 | GPT-4o Mar 2025 | 34.8% | Mar 2025 | Official leaderboard | |
| 11 | | 34.4% | Aug 2024 | Official leaderboard | |
| 12 | Qwen2-VL-7B-Instruct | 34.4% | Aug 2024 | Official leaderboard | |
| 13 | | 34.4% | Jan 2025 | Official leaderboard | |
| 14 | | 33.6% | Apr 2024 | Official leaderboard | |
| 15 | | 32.6% | Jan 2025 | Official leaderboard | |
| 16 | o4-mini | 30.7% | Apr 2025 | Official leaderboard | |
| 17 | Claude 3.7 Sonnet | 14.3% | Feb 2025 | Official leaderboard |
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | | 78.5% | Jul 2026 | Lab model card | |
| 2 | | 78.3% | Sep 2026 | Lab model card | |
| 3 | | 77.8% | Aug 2026 | Lab model card | |
| 4 | | 72.3% | Aug 2026 | Lab model card | |
| 5 | | 72% | Jun 2026 | Lab model card | |
| 6 | | 71.5% | Apr 2026 | Lab model card | |
| 7 | | 71% | Sep 2026 | Lab model card | |
| 8 | | 69.8% | Jun 2026 | Lab model card | |
| 9 | | 68.5% | Feb 2026 | Lab model card | |
| 10 | | 67.5% | Feb 2026 | Lab model card | |
| 11 | GPT-5 | 65.7% | Aug 2025 | Lab model card | |
| 12 | | 65.7% | Apr 2026 | Lab model card | |
| 13 | | 65.5% | Aug 2026 | Lab model card | |
| 14 | | 64.8% | Feb 2026 | Lab model card | |
| 15 | | 64.7% | Apr 2026 | Lab model card | |
| 16 | GPT-5 mini | 62.9% | Aug 2025 | Lab model card | |
| 17 | | 62.5% | Apr 2026 | Lab model card | |
| 18 | | 62% | Feb 2026 | Lab model card | |
| 19 | | 60.5% | Feb 2026 | Lab model card | |
| 20 | | 58.8% | Dec 2025 | Lab model card | |
| 21 | | 57.5% | Oct 2026 | Lab model card | |
| 22 | | 55.6% | Jun 2025 | Official leaderboard | |
| 23 | | 55.5% | Mar 2026 | Lab model card | |
| 24 | | 54.8% | Sep 2025 | Lab model card | |
| 25 | | 54.8% | Mar 2026 | Lab model card | |
| 26 | | 54% | Mar 2026 | Lab model card | |
| 27 | | 52.5% | Sep 2025 | Lab model card | |
| 28 | GPT-5 nano | 50.1% | Aug 2025 | Lab model card | |
| 29 | GLM-4.5V | 50% | Aug 2025 | Lab model card | |
| 30 | | 48.9% | Jan 2026 | Lab model card | |
| 31 | GLM-4.6V | 47.8% | Jan 2026 | Lab model card | |
| 32 | | 46.8% | Aug 2025 | Lab model card | |
| 33 | GLM-4.1V-9B-Thinking | 45.8% | Jul 2025 | Lab model card | |
| 34 | | 44% | May 2026 | Lab model card | |
| 35 | | 43.8% | Mar 2026 | Lab model card | |
| 36 | | 42% | May 2026 | Lab model card | |
| 37 | | 41.7% | Apr 2025 | Official leaderboard | |
| 38 | o3 | 41.5% | Apr 2025 | Official leaderboard | |
| 39 | GPT-5.2 | 41.5% | Dec 2025 | Official leaderboard | |
| 40 | | 40.2% | Feb 2025 | Official leaderboard | |
| 41 | Qwen-VL-Max | 39.3% | Jan 2024 | Official leaderboard | |
| 42 | | 38.8% | Apr 2025 | Official leaderboard | |
| 43 | | 37.1% | Apr 2025 | Official leaderboard | |
| 44 | | 36.3% | Aug 2025 | Official leaderboard | |
| 45 | GPT-4o Mar 2025 | 34.8% | Mar 2025 | Official leaderboard | |
| 46 | | 34.5% | Mar 2026 | Lab model card | |
| 47 | | 34.4% | Aug 2024 | Official leaderboard | |
| 48 | Qwen2-VL-7B-Instruct | 34.4% | Aug 2024 | Official leaderboard | |
| 49 | | 34.4% | Jan 2025 | Official leaderboard | |
| 50 | | 33.6% | Apr 2024 | Official leaderboard | |
| 51 | | 32.6% | Jan 2025 | Official leaderboard | |
| 52 | o4-mini | 30.7% | Apr 2025 | Official leaderboard | |
| 53 | Claude 3.7 Sonnet | 14.3% | Feb 2025 | Official leaderboard |
The benchmark's own leaderboard has 40 entries, 17 of them models we track. Switch the scores above to rank them together.
6 models have held number one in labs’ own numbers since its release in March 2025 3 models have held number one across all independent runs since its release in March 2025 8 models have held number one with claims included since its release in March 2025
Lab claims count from the day the card came out, independent runs from the model’s release. We draw one row each for the benchmark’s own leaderboard and what labs claim in their cards.
Sources: Official ERQA leaderboard and 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.
Sources: Official ERQA leaderboard and labs’ model cards
3 labs put it in a launch post in the last six months
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 |
|---|---|---|---|
| Sep 18, 2026 | 71 | ERQA | |
| Sep 2, 2026 | 78.3 | Embodied intelligence, ERQA | |
| Aug 26, 2026 | 72.3 | Embodied intelligence ERQA | |
| Aug 14, 2026 | 65.5 | Embodied intelligence ERQA | |
| Aug 3, 2026 | 77.8 | ERQA | |
| Jul 30, 2026 | 78.5 | Question answering (ERQA) | |
| Jun 23, 2026 | 72 | ERQA | |
| Jun 1, 2026 | 69.8 | ERQA | |
| Apr 28, 2026 | 71.5 | ERQA | |
| Apr 22, 2026 | 62.5 | ERQA | |
| Apr 8, 2026 | 64.7 | ERQA (Embodied Reasoning) | |
| Apr 2, 2026 | 65.7 | ERQA | |
| Mar 30, 2026 | 54.8 | ERQA | |
| Mar 2, 2026 | 34.5 | ERQA 34.5/23.8 (with CI / without CI) | |
| Mar 2, 2026 | 43.8 | ERQA 43.8/33.0 (with CI / without CI) | |
| Mar 2, 2026 | 54 | ERQA | |
| Mar 2, 2026 | 55.5 | ERQA | |
| Feb 24, 2026 | 64.8 | ERQA | |
| Feb 24, 2026 | 60.5 | ERQA | |
| Feb 24, 2026 | 62 | ERQA | |
| Feb 16, 2026 | 67.5 | ERQA | |
| Dec 18, 2025 | 58.8 | ERQA | |
| Sep 23, 2025 | 52.5 | ERQA | |
| Aug 25, 2025 | 46.8 | ERQA | |
| Aug 11, 2025 | GLM-4.5V | 50 | ERQA |
| Aug 7, 2025 | GPT-5 nano | 50.1 | ERQA |
| Aug 7, 2025 | GPT-5 mini | 62.9 | ERQA |
| Aug 7, 2025 | GPT-5 | 65.7 | ERQA Multimodal spatial reasoning |
15 system cards report it, from 7 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 | | 57.5 | ERQA, SpatialClaw harness, with agentic vision training, Table 7 | Capabilities |
| Sep 22, 2026 | | 71 | ERQA (Table 3) | Capabilities |
| Jun 23, 2026 | | 72 | ERQA (Table 9) | Capabilities |
| May 31, 2026 | | 44 | ERQA, Cosmos3-Nano 8B column, Table 10 | Capabilities |
| May 31, 2026 | | 42 | ERQA, Cosmos3-Edge 2B column, Table 10 | Capabilities |
| Apr 17, 2026 | | 54.8 | ERQA (Table 6) | Capabilities |
| Mar 21, 2026 | | 58.8 | ERQA (Table 2) | Capabilities |
| Feb 14, 2026 | | 68.5 | ERQA (Table 8) | Capabilities |
| Jan 14, 2026 | | 48.9 | ERQA, SeRe (Tables 1 and 3). PaCoRe 51.75 | Capabilities |
| Jan 1, 2026 | GLM-4.6V technical report | 47.8 | ERQA, GLM-4.6V thinking (Table 2) | Capabilities |
| Nov 26, 2025 | | 52.5 | ERQA (Table 2) | Capabilities |
| Sep 25, 2025 | | 54.8 | ERQA (Table 19, thinking on). Thinking off 47.0 | Capabilities |
| Aug 25, 2025 | | 46.8 | ERQA (Table 2, Table 11) | Capabilities |
| Aug 13, 2025 | GLM-4.5V technical report | 50 | ERQA, GLM-4.5V thinking (Table 2) | Capabilities |
| Jul 1, 2025 | GLM-4.1V-9B-Thinking technical report | 45.8 | ERQA, GLM-4.1V-9B-Thinking thinking (Table 2) | Capabilities |
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