Gemini 3.6 FlashvsGLM-5
Gemini 3.6 Flash | GLM-5 | |
|---|---|---|
| Specifications | ||
Parameters | — | 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 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. | 49% | — |
ML engineering MLE-BenchCan the AI do the work of a machine-learning engineer? It competes in real Kaggle competitions — building, training, and tuning models end to end — and the score reflects how well it places. Higher is better. | 63.9% | — |
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% |
Browser agent BU BenchCan the AI drive a real web browser to finish tasks — clicking, filling forms, and navigating sites the way a person would? Run by Browser Use on their BU Bench task set. Higher is better. | 68% | — |
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. | 83% | — |
Knowledge work GDPval-AA v2economically valuable knowledge work (v2, re-based Elo) | 1421 | — |
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. | — | 1430 |
| Timeline | ||
| Release gap | GLM-5 shipped 159 days before Gemini 3.6 Flash | |
| Overview | ||
| Company | Z.ai | |
| Release date | Jul 21 2026 | Feb 12 2026 |
| Access | Proprietary | Open Weight |
Which is better: Gemini 3.6 Flash or GLM-5?
Gemini 3.6 Flash 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 159 days before Gemini 3.6 Flash, so benchmark comparisons should account for the intervening progress.
Gemini 3.6 Flash is proprietary, while GLM-5 is open weight.
Direct benchmark comparisons are unavailable — Gemini 3.6 Flash and GLM-5 don't publish scores on any of the same benchmarks.
Frequently asked questions
Gemini 3.6 Flash was released by Google on Jul 21 2026.
GLM-5 was released by Z.ai on Feb 12 2026.
Gemini 3.6 Flash is a proprietary model released by Google. GLM-5 is an open weight model released by Z.ai.
Other comparisons
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