Gemini 3.6 FlashvsGLM-5.2
Gemini 3.6 Flash | GLM-5.2 | |
|---|---|---|
| Specifications | ||
Parameters | — | 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. | — | 31% |
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. | — | 62.1% |
Agentic coding CursorBench v3.1Cursor's own test of harder, real-world coding tasks inside a code editor. Higher is better. | — | 54.6% |
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%Best | 44% |
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% | — |
Next.js coding Next.js EvalsVercel's open eval of how well AI coding agents build and migrate real Next.js apps — measured as the share of tasks the agent completes successfully. Higher is better. | — | 88% |
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. | — | 81% |
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% | — |
Multidisciplinary reasoning Humanity's Last Exam · no toolsHumanity's Last Exam — extremely hard expert questions across many subjects, written so you can't just look up the answer. “No tools” means the AI answers on its own. Higher is better. | — | 40.5% |
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. | — | 54.7% |
Science GPQA DiamondGraduate-level science questions in biology, physics, and chemistry — hard enough that subject-matter PhDs score around 65%. Higher is better. | — | 91.2% |
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 | 1514Best |
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. | — | 1587 |
| Timeline | ||
| Release gap | GLM-5.2 shipped 35 days before Gemini 3.6 Flash | |
| Overview | ||
| Company | Z.ai | |
| Release date | Jul 21 2026 | Jun 16 2026 |
| Access | Proprietary | Open Weight |
Which is better: Gemini 3.6 Flash or GLM-5.2?
Gemini 3.6 Flash and GLM-5.2 are evenly matched across the 2 benchmarks they both report (DeepSWE 1.1, GDPval-AA v2). GLM-5.2 shipped 35 days before Gemini 3.6 Flash, so benchmark comparisons should account for the intervening progress.
Gemini 3.6 Flash is proprietary, while GLM-5.2 is open weight.
On DeepSWE 1.1, Gemini 3.6 Flash leads at 49% vs GLM-5.2 at 44%. On GDPval-AA v2, GLM-5.2 leads at 1514 vs Gemini 3.6 Flash at 1421.
Frequently asked questions
Gemini 3.6 Flash was released by Google on Jul 21 2026.
GLM-5.2 was released by Z.ai on Jun 16 2026.
Gemini 3.6 Flash leads on DeepSWE 1.1 — Gemini 3.6 Flash 49% vs GLM-5.2 44%.
Gemini 3.6 Flash is a proprietary model released by Google. GLM-5.2 is an open weight model released by Z.ai.
Other comparisons
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