Grok 4.6vsGLM-5.3
Grok 4.6 | GLM-5.3 | |
|---|---|---|
| Specifications | ||
Parameters | — | 743B |
| Benchmarks | ||
Agentic coding CursorBench v3.2Cursor's own test of harder, real-world coding tasks inside a code editor, on the refreshed v3.2 task set. Scores aren't comparable with v3.1. Higher is better. | 69.9% | — |
Agentic coding DeepSWE 1.1Artificial Analysis' independent test of deep, agentic software-engineering work — the AI has to plan and carry out substantial coding tasks end to end. (Version 1.1 of the test.) Higher is better. | 65.9% | 66.9%Best |
Agentic coding FrontierCode v1.1 (Extended) · extended splitfrontier-difficulty agentic coding tasks (v1.1, extended split) | 61.3% | — |
Expert software engineering APEX-SWEexpert-level software-engineering tasks (AI Productivity Index) | 56.4% | — |
Agentic terminal coding Terminal-Bench 3.0command-line task completion (v3.0, much harder task set) | 26% | 28.3%Best |
Expert agentic work APEX-Agentsexpert-level agentic work tasks (AI Productivity Index) | 57.5% | — |
Cybersecurity CyberGymTests the AI on cybersecurity challenges — finding and exploiting software weaknesses inside a safe sandbox. Higher is better. | — | 84.5% |
Cybersecurity ExploitBenchA 'capability ladder' for security research, built by CMU researchers: the AI is given known bugs in Chrome's V8 engine and scored on how far it gets toward a working exploit inside a research sandbox — from understanding the patch to triggering a crash. Higher is better. | — | 54.4% |
Cybersecurity ExploitGym · 6-hour budgetCan an AI agent turn a known software vulnerability into a working attack in a controlled lab? Built by MPI-SP researchers, the score is how many of 898 real cases (userspace programs, the V8 engine, the Linux kernel) it cracks — here with a 6-hour compute budget per case. Higher is better. | — | 130 |
Cybersecurity ExploitGym · 2-hour budgetCan an AI agent turn a known software vulnerability into a working attack in a controlled lab? Built by MPI-SP researchers, the score is how many of 898 real cases (userspace programs, the V8 engine, the Linux kernel) it cracks — here with a 2-hour compute budget per case. Higher is better. | — | 105 |
Multidisciplinary reasoning Humanity's Last Exam · with toolsHumanity's Last Exam — extremely hard expert questions across many subjects. “With tools” means the AI is allowed to search the web or run code while answering. Higher is better. | — | 62.5% |
Agentic computer use Agent's Last ExamA hard set of desktop and operating-system tasks an AI agent has to finish by looking at the screen and working the machine itself. The score is the share it passes outright — partial credit does not count. Higher is better. | — | 28.5% |
Business workflows AutomationBenchTests whether the AI can run real multi-step business workflows — the kind of end-to-end office processes companies want to automate — from start to finish. Higher is better. | — | 48.2% |
Agentic legal work Harvey's Legal Agent BenchmarkHarvey's test of whether an AI agent can complete real legal work — drafting and reviewing documents, working with spreadsheets and presentations, and navigating files the way a lawyer's assistant would. Higher is better. | 15.8% | — |
Overall intelligence AA Intelligence IndexArtificial Analysis composite intelligence index across evals | 61 | — |
Knowledge work GDPval-AA v2economically valuable knowledge work (v2, re-based Elo) | 1753 | 1769Best |
Knowledge work AA-BriefcaseArtificial Analysis agentic office-work eval (Elo) | 1577 | — |
| Overview | ||
| Company | SpaceXAI | Z.ai |
| Release date | Aug 12 2026 | Aug 14 2026 |
| Access | Proprietary | Proprietary |
Which is better: Grok 4.6 or GLM-5.3?
GLM-5.3 leads Grok 4.6 on 3 of the 3 benchmarks they both report (DeepSWE 1.1, Terminal-Bench 3.0, GDPval-AA v2). Grok 4.6 shipped 2 days before GLM-5.3, so benchmark comparisons should account for the intervening progress.
Published specifications for these two models are limited — see each model page for the latest details.
On DeepSWE 1.1, GLM-5.3 leads at 66.9% vs Grok 4.6 at 65.9%. On Terminal-Bench 3.0, GLM-5.3 leads at 28.3% vs Grok 4.6 at 26%. On GDPval-AA v2, GLM-5.3 leads at 1769 vs Grok 4.6 at 1753.
Frequently asked questions
Grok 4.6 was released by SpaceXAI on Aug 12 2026.
GLM-5.3 was released by Z.ai on Aug 14 2026.
GLM-5.3 leads on DeepSWE 1.1 — Grok 4.6 65.9% vs GLM-5.3 66.9%.