GLM-5.1: The Open Source Model That Gets Better the Longer It Runs

GLM-5.1 from Z.ai is the new #1 open source model on SWE-Bench Pro, beating GPT-5.4, Opus 4.6, and Gemini 3.1 Pro. But the benchmark score is not even the most impressive part.

GLM-5.1 is built for long-horizon tasks. It ran for 600+ iterations on a vector database optimization challenge and achieved a 6x performance improvement. On GPU kernel optimization, it delivered 3.6x speedup and kept improving. It even built a complete Linux desktop environment in the browser over 8 hours, from scratch.

In this video, we break down all three scenarios from the GLM-5.1 blog post, compare benchmark numbers across models, and show why this matters for the open source AI coding agent race.

00:00 — Intro: GLM-5.1 Drops
00:35 — The Problem: Why Models Plateau
01:16 — Benchmark Numbers: SWE-Bench Pro, NL2Repo, Terminal-Bench
02:18 — Scenario 1: Vector DB Optimization (6x Improvement)
03:33 — Scenario 2: GPU Kernel Optimization (3.6x Speedup)
04:30 — Scenario 3: Linux Desktop in 8 Hours
05:39 — Works With Your Existing Coding Agents
06:14 — Outro + Links

Source: https://z.ai/blog/glm-5.1
Weights: https://huggingface.co/zai-org/GLM-5.1
API: https://docs.z.ai/guides/llm/glm-5.1
GitHub: https://github.com/zai-org/GLM-5

#GLM51 #ZAI #OpenSource #AI #CodingAgent #SWEBench #MachineLearning #LLM #ArtificialIntelligence

Видео GLM-5.1: The Open Source Model That Gets Better the Longer It Runs канала TechWealth Hub