Qwen3.8-MaxvsGLM-5
Qwen3.8-Max | GLM-5 | |
|---|---|---|
| Specifications | ||
Parameters | 2.4T | 744B |
Context window | 1M | — |
| 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% |
Agentic coding SWE-Bench ProCan the AI fix real bugs in real software? It's handed actual problems from open-source projects and has to write code that genuinely solves them. Higher is better. | 67.7% | — |
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% |
Research reproduction PaperBenchreproducing the results of an ML research paper end to end | 93% | — |
Agentic terminal coding Terminal-Bench 2.1Can the AI work in a command-line terminal — running commands and finishing technical setup tasks the way a developer would? Higher is better. | 86.6% | — |
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% |
Professional tool use JobBenchTests the AI on professional workplace tasks that require using real work tools — the kind of multi-step jobs an office worker handles. Higher is better. | 53.4% | — |
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% |
Agentic computer use OSWorld-VerifiedCan the AI actually operate a computer — clicking, typing, and using real apps — to finish tasks on its own? Higher is better. | 86.1% | — |
Chart reasoning CharXiv ReasoningCan the AI read and reason about complex charts and figures, not just text? Higher is better. | 88.4% | — |
Visual reasoning BabyVisionTests core visual reasoning — seeing and understanding images the way even young children can, which AIs often find surprisingly hard. Higher is better. | 82% | — |
Community preference (code) Arena Elo (Code)Like the text arena, but people vote on which AI writes better code. The votes become a chess-style Elo rating on arena.ai. Higher is better. | — | 1435 |
| Overview | ||
| Company | Qwen | Z.ai |
| Release date | Aug 3 2026 | Feb 12 2026 |
| Access | Proprietary | Open Weight |
Which is better: Qwen3.8-Max or GLM-5?
Qwen3.8-Max and GLM-5 don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. GLM-5 shipped 172 days before Qwen3.8-Max, so benchmark comparisons should account for the intervening progress.
Qwen3.8-Max has 2.4T parameters, while GLM-5 has 744B. Qwen3.8-Max is proprietary, while GLM-5 is open weight.
Direct benchmark comparisons are unavailable — Qwen3.8-Max and GLM-5 don't publish scores on any of the same benchmarks.
Frequently asked questions
Qwen3.8-Max was released by Qwen on Aug 3 2026.
GLM-5 was released by Z.ai on Feb 12 2026.
Qwen3.8-Max is a proprietary model released by Qwen. GLM-5 is an open weight model released by Z.ai.