OMIBench: Benchmarking Olympiad-Level Multi-Image Reasoning in Large Vision-Language Model
On the map: LLM reasoning → Multimodal reasoning
Abstract (arXiv)
Large vision-language models (LVLMs) have made substantial advances in reasoning tasks at the Olympiad level. Nevertheless, current Olympiad-level multimodal reasoning benchmarks for these models often emphasize single-image analysis and fail to exploit contextual information across multiple images. We present OMIBench, a benchmark designed to evaluate Olympiad-level reasoning when the required evidence is distributed over multiple images. It contains problems from biology, chemistry, mathematics, and physics Olympiads, together with manually annotated rationales and evaluation protocols for both exact and semantic answer matching. Across extensive experiments on OMIBench, we observe meaningful performance gaps in existing models. Even the strongest LVLMs, such as Gemini-3-Pro, attain only about 50% on the benchmark. These results position OMIBench as a focused resources for studying and improving multi-image reasoning in LVLMs.
Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). Placed in Multimodal reasoning, one of 17 directions in LLM reasoning. Builds on 33 of its 78 references that are in the map. First posted on arXiv 22 Apr 2026.
Builds on
33 of 78 references.
Closest ancestors · 14
Same direction, newest first
- 2025ChainV: Atomic Visual Hints Make Multimodal Reasoning Shorter and Better21 Nov
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- 2025Vision-G1: Towards General Vision Language Reasoning with Multi-Domain Data Curation18 Aug
- 2025Semi-off-Policy Reinforcement Learning for Vision-Language Slow-Thinking Reasoning22 Jul
- 2025Thinking with Images for Multimodal Reasoning: Foundations, Methods, and Future Frontiers30 Jun
- 2025MMReason: An Open-Ended Multi-Modal Multi-Step Reasoning Benchmark for MLLMs Toward AGI30 Jun
- 2025Evaluating MLLMs with Multimodal Multi-image Reasoning Benchmark4 Jun
- 2025MiMo-VL Technical Report4 Jun
- 2025SRPO: Enhancing Multimodal LLM Reasoning via Reflection-Aware Reinforcement Learning2 Jun
- 2025Visual Thoughts: A Unified Perspective of Understanding Multimodal Chain-of-Thought21 May
- 2025Kimi-VL Technical Report10 Apr
2 more
Other references · 19
- 2019RoBERTa: A Robustly Optimized BERT Pretraining Approachcited by 13,372
- 2025Qwen2.5-VL Technical Reportcited by 5,587
- 2021Measuring Mathematical Problem Solving With the MATH Datasetcited by 5,371
- 2024GPT-4o System Cardcited by 4,588
- 2025Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilitiescited by 3,796
- 2025Qwen3-VL Technical Reportcited by 2,793
- 2025InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Modelscited by 1,834
- 2025Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Modelscited by 384
- 2021Inter-GPS: Interpretable Geometry Problem Solving with Formal Language and Symbolic Reasoningcited by 383
- 2025From System 1 to System 2: A Survey of Reasoning Large Language Modelscited by 320
- 2022UniGeo: Unifying Geometry Logical Reasoning via Reformulating Mathematical Expressioncited by 137
- 2025Challenging the Boundaries of Reasoning: An Olympiad-Level Math Benchmark for Large Language Modelscited by 70
7 more
- 2024MMIU: Multimodal Multi-image Understanding for Evaluating Large Vision-Language Modelscited by 67
- 2025AI4Research: A Survey of Artificial Intelligence for Scientific Researchcited by 60
- 2025Kwai Keye-VL Technical Reportcited by 47
- 2024MIBench: Evaluating Multimodal Large Language Models over Multiple Imagescited by 39
- 2024Slow Perception: Let's Perceive Geometric Figures Step-by-stepcited by 24
- 2025HiPhO: How Far Are (M)LLMs from Humans in the Latest High School Physics Olympiad Benchmark?cited by 19
- 2026The Molecular Structure of Thought: Mapping the Topology of Long Chain-of-Thought Reasoningcited by 4
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Citing papers per year: 2026: 5.
5 papers.
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- 2026From Chatbot to Digital Colleague: The Paradigm Shift Toward Persistent Autonomous AI12 Jun 2026
- 2026StemBind: When MLLMs Get Lost Between Rules and Instances in Abstract Visual Reasoning29 May 2026
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