GLM-5V-Turbo: Toward a Native Foundation Model for Multimodal Agents
On the map: LLM agents and tool use → Multimodal and embodied agents
Abstract (arXiv)
We present GLM-5V-Turbo, a step toward native foundation models for multimodal agents. As foundation models are increasingly deployed in real environments, agentic capability depends not only on language reasoning, but also on the ability to perceive, interpret, and act over heterogeneous contexts such as images, videos, webpages, documents, GUIs. GLM-5V-Turbo is built around this objective: multimodal perception is integrated as a core component of reasoning, planning, tool use, and execution, rather than as an auxiliary interface to a language model. This report summarizes the main improvements behind GLM-5V-Turbo across model design, multimodal training, reinforcement learning, toolchain expansion, and integration with agent frameworks. These developments lead to strong performance in multimodal coding, visual tool use, and framework-based agentic tasks, while preserving competitive text-only coding capability. More importantly, our development process offers practical insights for building multimodal agents, highlighting the central role of multimodal perception, hierarchical optimization, and reliable end-to-end verification.
Key facts. Cited by 30 papers in the map (data through 7 Oct 2026). Placed in Multimodal and embodied agents, one of 16 directions in LLM agents and tool use. Builds on 26 of its 41 references that are in the map. First posted on arXiv 29 Apr 2026.
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- 2026Vision2Web: A Hierarchical Benchmark for Visual Website Development with Agent Verificationcited by 16
- 2025UI2Code^N: UI-to-Code Generation as Interactive Visual Optimizationcited by 12
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Citing papers per year: 2026: 30.
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- 2026MMSkills: Towards Multimodal Skills for General Visual Agentscited by 13
- 2026MineExplorer: Evaluating Open-World Exploration of MLLM Agents in Minecraftcited by 3
- 2026Thinking With Tools, Not With Pixels: Tool Calls as Text Scaffolds for Visual Reasoningcited by 2
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- 2026PhysFieldBench: Can Multimodal Models Understand Physical Fields?28 Sep 2026
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- 2026VideoGAIA: A Benchmark for General AI Assistants on Agentic Video Understanding12 Aug 2026
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- 2026VideoSeeker: Incentivizing Instance-level Video Understanding via Native Agentic Tool Invocation15 May 2026
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- 2026MineExplorer: Evaluating Open-World Exploration of MLLM Agents in Minecraft29 May 2026
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- 2026PerceptionRubrics: Calibrating Multimodal Evaluation to Human Perceptioncited by 1
- 2026FIKA-Bench: From Fine-grained Recognition to Fine-Grained Knowledge Acquisitioncited by 0
- 2026Architect-Ant: Editable Automatic Furnishing of Architectural Floor Planscited by 0
- 2026Efficient Spatio-Temporal Grounding with Multimodal Large Models via Second-Level Tracking and RL Verificationcited by 0
- 2026Ancient-Bench: A Comprehensive Multi-millennial, Multi-medium, and Multi-script Benchmark for Ancient Chinese Artifact Text Recognitioncited by 0
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- 2026Block-Sparse Attention with Semantic-Geometric Decoupled Routingcited by 0
- 2026Convergence of Practical Muoncited by 0
- 2026SciGen-Verifier: A Multimodal Reasoner for Explainable Verification in Scientific Image Generationcited by 0
- 2026SciGen-Verifier: A Multimodal Reasoner for Explainable Verification in Scientific Image Generation27 Sep 2026
- 2026Convergence of Practical Muon27 Sep 2026
- 2026Block-Sparse Attention with Semantic-Geometric Decoupled Routing19 Sep 2026
- 2026Inside VLM Chart Reading: Tracing Value Reading from Vertical Bar Charts Across Space and Depth12 Sep 2026
- 2026Ancient-Bench: A Comprehensive Multi-millennial, Multi-medium, and Multi-script Benchmark for Ancient Chinese Artifact Text Recognition27 Aug 2026
- 2026Efficient Spatio-Temporal Grounding with Multimodal Large Models via Second-Level Tracking and RL Verification27 Jun 2026
- 2026PerceptionRubrics: Calibrating Multimodal Evaluation to Human Perception26 Jun 2026
- 2026Architect-Ant: Editable Automatic Furnishing of Architectural Floor Plans9 Jun 2026
- 2026HLL: Can Agents Cross Humanity's Last Line of Verification?1 Jun 2026
- 2026MMSkills: Towards Multimodal Skills for General Visual Agents13 May 2026
- 2026FIKA-Bench: From Fine-grained Recognition to Fine-Grained Knowledge Acquisition13 May 2026
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