LLaMA 3.3 vs GLM-5
Meta LLaMA 3.3 | Z.ai GLM-5 | |
|---|---|---|
| Overview | ||
| Company | Meta | Z.ai |
| Release date | Dec 6 2024 | Feb 12 2026 |
| Access | Open Weight | Open Weight |
| Specifications | ||
Parameters | 70B | 744B |
| Benchmarks | ||
Nonsense detection BullshitBench v2Given a confidently-worded but nonsensical prompt, does the AI spot that it makes no sense and push back — instead of playing along and inventing an answer? The score is how often it clearly called out the nonsense. Higher is better. | — | 28% |
Coding SWE-Bench VerifiedReal coding tasks pulled from open-source projects — the AI has to find and fix actual bugs. A human-checked version of the original SWE-Bench. Higher is better. | — | 77.8% |
Multilingual coding SWE-Bench MultilingualLike SWE-Bench, but the coding problems span many programming languages, not just one. Tests how broadly the AI can code. Higher is better. | — | 73.3% |
Agentic terminal coding Terminal-Bench 2.0Can the AI work in a command-line terminal — running commands and finishing technical setup tasks the way a developer would? (Version 2.0 of the test.) Higher is better. | — | 56.2% |
Web browsing BrowseCompCan the AI browse the web and track down hard-to-find answers? Higher is better. | — | 75.9% |
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. | — | 50.4% |
Science GPQA DiamondGraduate-level science questions in biology, physics, and chemistry — hard enough that subject-matter PhDs score around 65%. Higher is better. | — | 86% |
| Timeline | ||
| Release gap | LLaMA 3.3 shipped 433 days before GLM-5 | |
Which is better: LLaMA 3.3 or GLM-5?
LLaMA 3.3 and GLM-5 don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. LLaMA 3.3 shipped 433 days before GLM-5, so benchmark comparisons should account for the intervening progress.
LLaMA 3.3 has 70B parameters, while GLM-5 has 744B.
Direct benchmark comparisons are unavailable — LLaMA 3.3 and GLM-5 don't publish scores on any of the same benchmarks.
Frequently asked questions
LLaMA 3.3 was released by Meta on Dec 6 2024.
GLM-5 was released by Z.ai on Feb 12 2026.