# GLM-5.3 Now Running on SambaCloud

DevFeed: [GLM-5.3 Now Running on SambaCloud](<https://devfeed.tech/articles/glm-5-3-now-running-on-sambacloud-129327.md>)

Original publisher: [Read original article](<https://sambanova.ai/blog/glm-5.3-now-running-on-sambacloud>)

Author: SambaNova

Published: 2026-11-11T18:16:24Z

Content type: release

Language: en

Sources: [Sambanova](<https://devfeed.tech/sources/sambanova.md>)

Topics: [agentic-coding](<https://devfeed.tech/topics/agentic-coding.md>), [AI Agent](<https://devfeed.tech/topics/ai-agent.md>), [Agent Harness](<https://devfeed.tech/topics/agent-harness.md>), [agentic workflows](<https://devfeed.tech/topics/agentic-workflows.md>), [AI-assisted coding](<https://devfeed.tech/topics/ai-assisted-coding.md>), [llm-reasoning](<https://devfeed.tech/topics/llm-reasoning.md>), [Frontier AI](<https://devfeed.tech/topics/frontier-ai.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>)

Tags: [agent](<https://devfeed.tech/tags/agent.md>), [agent-tasks](<https://devfeed.tech/tags/agent-tasks.md>), [agentic-coding](<https://devfeed.tech/tags/agentic-coding.md>), [agentic-workloads](<https://devfeed.tech/tags/agentic-workloads.md>), [blog](<https://devfeed.tech/tags/blog.md>), [complex](<https://devfeed.tech/tags/complex.md>), [engineering](<https://devfeed.tech/tags/engineering.md>), [glm-5-3](<https://devfeed.tech/tags/glm-5-3.md>), [open-weight-models](<https://devfeed.tech/tags/open-weight-models.md>), [software-engineering](<https://devfeed.tech/tags/software-engineering.md>), [terminal-bench](<https://devfeed.tech/tags/terminal-bench.md>), [tokens](<https://devfeed.tech/tags/tokens.md>)

## AI overview

GLM-5.3 is presented as an open-weight model for long-running coding and agent tasks, with reported scores of 28.3 on Terminal-Bench 3.0 and 66.9 on DeepSWE v1.1. The article also reports 31.4% on Z.ai's internal Code Bench at about 50K output tokens per task, versus Claude Opus 4.8's 29.5% at 120K, and cites strong CyberGym and cybersecurity assessments. SambaCloud offers the model as "GLM-5.3" at over 200 tokens/s; an example agent trace has 41 calls over 17.5 minutes, with more than 91% of input served from cache. The excerpt includes Python API setup and provider configuration for ZCode, Claude Code, OpenCode, and Codex CLI; Codex requires the Responses API and supported reasoning levels in its model catalog.

## Source excerpt

GLM-5.3 is Z.ai's flagship model for complex software engineering and long-horizon agent tasks. It reaches state-of-the-art results among open-weight models on Terminal-Bench 3.0 and Agents' Last Exam, and it does so while using fewer output tokens per task than several closed frontier models. GLM-5.3 is now available on SambaCloud at over 200 tokens/s under the model string GLM-5.3. Read Z.ai's full GLM-5.3 announcement here.