Benchmark Almanac

VisuLogic

Seed2.1 Pro 54.3% leads since Jun 2026 Fading

Models answer 1,000 visual reasoning puzzles in six categories that cannot be solved by describing the image in words. Scored by accuracy.

The paper reports human accuracy near 51 percent and most models near the 25 percent chance level.

In the authors’ words

Visual reasoning is a core component of human intelligence and a critical capability for advanced multimodal models. Yet current reasoning evaluations of multimodal large language models (MLLMs) often rely on text descriptions and allow language-based reasoning shortcuts, failing to measure genuine vision-centric reasoning. To address this, we introduce VisuLogic: a benchmark of 1,000 human-verified problems across six categories (e.g., quantitative shifts, spatial relations, attribute comparisons). These various types of questions can be evaluated to assess the visual reasoning capabilities of MLLMs from multiple perspectives. We evaluate leading MLLMs on this benchmark and analyze their results to identify common failure modes. Most models score below 30% accuracy-only slightly above the 25% random baseline and far below the 51.4% achieved by humans-revealing significant gaps in visual reasoning. Furthermore, we provide a supplementary training dataset and a reinforcement-learning baseline to support further progress.

Abstract of VisuLogic: A Benchmark for Evaluating Visual Reasoning in Multi-modal Large Language Models (arXiv:2504.15279, CC0)
Made by Shanghai AI Laboratory with several universities Released Apr 2025 Spatial reasoning and counting All tasks public Last in a launch post Feb 2026 , dropped before it saturated Last model added Jun 2026 Scores refreshed 2 Nov 2026
Level
Everyday Most adults, without training
Scored
Checked automatically A program checks the result against an answer key, unit tests or the expected final state.
Answers
Multiple choice
7
Models scored in lab cards
5
Launch posts list it, from 3 labs
6
System cards report it, from 4 labs

Seed2.1 Pro leads with 54.3% among models released by Jun 2026

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.

The newest model with a score here came out in Jun 2026, and nobody has reported a newer one. Among the 20 highest-ranked models on the capability index, these have no score yet:

  1. 1 Seed2.1 Pro 54.3%
  2. 2 Seed2.0 Pro 47.4%
  3. 3 Seed1.5-VL 35%
  4. 4 Qwen3-VL-235B-A22B 34.4%
  5. 5 ERNIE 5.0 32%
  6. 6 ERNIE-4.5-VL-28B-A3B-Thinking 31.1%
  7. 7 STEP3-VL-10B 29.7%
#ModelScoreSettingDateSource
1 Seed2.1 Pro 54.3% Jun 2026 Model card
2 Seed2.0 Pro 47.4% Feb 2026 Model card
3 Seed1.5-VL 35% May 2025 Model card
4 Qwen3-VL-235B-A22B 34.4% Sep 2025 Model card
5 ERNIE 5.0 32% Feb 2026 Model card
6 ERNIE-4.5-VL-28B-A3B-Thinking 31.1% Nov 2025 Model card
7 STEP3-VL-10B 29.7% Jan 2026 Model card

The benchmark's own leaderboard has 25 entries, 17 of them models we track. We plot every source in the charts below.

3 models have held number one since its release in Apr 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.

Google DeepMind OpenAI ByteDance Seed
Own leaderboard Not tested since Sep 2025
Lab claims Not tested since Jun 2026
Seed2.1 Pro 54.3%

Scores over time

All the scores we have, one dot each, so a model tested at several settings appears more than once.

On the benchmark’s own leaderboard Reported by the lab in its model card Best so far
0% 20% 40% 60% 80% 100% 2025 2026 Near the ceiling (85%) Seed2.1 Pro Seed2.0 Pro Seed1.5-VL o3 InternVL2_5-78B LLaVA-OneVision 7B (SI) 0% 20% 40% 60% 80% 100% 2025 2026 Near the ceiling (85%) Seed2.1 Pro Seed2.0 Pro

Labs headline it less often now, last in Feb 2026

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.

ByteDance Seed
Qwen
Baidu
DateLaunch postScoreAs the post writes it
14 Feb 2026 Seed2.0 Pro 47.4 VisuLogic
6 Feb 2026 ERNIE 5.0 32 VisuLogic
11 Nov 2025 ERNIE-4.5-VL-28B-A3B-Thinking 31.1 VisuLogic
23 Sep 2025 Qwen3-VL-235B-A22B 34.4 VisuLogic
12 May 2025 Seed1.5-VL 35 VisuLogic

6 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.

DateDocumentScoreAs the document writes itSection
23 Jun 2026 Seed2.1 Pro model card 54.3 VisuLogic (Table 9) Capabilities
14 Feb 2026 Seed2.0 Pro model card 47.4 VisuLogic (Table 8) Capabilities
4 Feb 2026 ERNIE 5.0 technical report 32 VisuLogic (Table 3) Capabilities
14 Jan 2026 STEP3-VL-10B technical report 29.7 VisuLogic, SeRe (Tables 1 and 3). PaCoRe 32.70 Capabilities
26 Nov 2025 Qwen3-VL-235B-A22B technical report 34.4 VisuLogic (Table 2) Capabilities
11 May 2025 Seed1.5-VL technical report 35 VisuLogic, thinking (Table 6). Non-thinking 33.0 Capabilities

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  • MMMU-Pro In use Harder MMMU: college-level multimodal questions with more options and vision-only inputs to remove text shortcuts. Kimi K3.1 Pro 84.1%
  • CharXiv In use Chart understanding on real arXiv figures. Reasoning questions require synthesizing information from complex charts. Claude Fable 5 93.5%
  • MATH-Vision (MathVision) In use 3,040 competition math problems with visual context. Answer accuracy. Qwen 3.8 Max 97.7%
  • ChartQA In use Models answer human-written and generated questions about chart images that need visual and arithmetic reasoning. Scored by relaxed accuracy with a 5 percent numeric tolerance. Command A Vision 90.9%
  • DocVQA In use Models answer 50,000 questions about 12,000 scanned document images by reading their text and layout. Scoring is ANLS, a string similarity to reference answers. Seed1.5-VL 96.9%