When was GLM-5 released?

GLM-5 was released by Z.ai on Thursday, Feb 12 2026.

GLM-5 was built by Z.ai. Chinese AI lab spun out of Tsinghua University (formerly Zhipu AI), building the open-weight GLM family. Rebranded internationally as Z.ai in 2025.

What benchmark scores did GLM-5 get?

GLM-5 reports 8 tracked benchmark scores — BullshitBench v2: 28%; SWE-Bench Verified: 77.8%; SWE-Bench Multilingual: 73.3%; Terminal-Bench 2.0: 56.2%; BrowseComp: 75.9%; Humanity's Last Exam (with tools): 50.4%; GPQA Diamond: 86%; Arena Elo (Code): 1435. Scores are the figures published at release by Z.ai.

How many parameters does GLM-5 have?

GLM-5 is reported at 744B parameters.

Is GLM-5 open source?

Partly. GLM-5 is an open-weight model: the trained weights are free to download and run locally or on your own infrastructure, but the training data and code are not fully released and the license may restrict some commercial uses. It is not open source in the strict sense.

What came before and after GLM-5?

Z.ai's previous tracked release was GLM-4.7 on Dec 22 2025, 52 days earlier. It was followed by GLM-5.1 on Apr 7 2026.

GLM-5Open Weight

GLM-5 is an AI model released by Z.ai on Thursday, Feb 12 2026, 52 days after GLM-4.7. It is an open-weight model — the trained weights are available to download and run. It is a 744B parameter model. Benchmark results (shown below) cover BullshitBench v2, SWE-Bench Verified, SWE-Bench Multilingual, Terminal-Bench 2.0, BrowseComp, Humanity's Last Exam, and 2 more.

Benchmarks

Nonsense detection

BullshitBench v2

28%

#39 of 67

Coding

SWE-Bench Verified

77.8%

#10 of 39

Multilingual coding

SWE-Bench Multilingual

73.3%

#7 of 10

Agentic terminal coding

Terminal-Bench 2.0

56.2%

#9 of 13

Web browsing

BrowseComp

75.9%

#14 of 17

Multidisciplinary reasoning

Humanity's Last Exam

50.4%

with tools

#17 of 21

Science

GPQA Diamond

86%

#25 of 50

Community preference (code)

Arena Elo (Code)

1435

#32 of 48

About GLM-5

GLM-5, released February 12, 2026, doubled Z.ai's flagship to 744B parameters while keeping the weights open. It scored 77.8% on SWE-Bench Verified, 86.0% on GPQA, and 75.9% on BrowseComp — at release the strongest agentic-research score of any open-weight model — with 50.4% on Humanity's Last Exam with tools.

Landing a week after Claude Opus 4.6 and GPT-5.3-Codex, GLM-5 kept open weights within striking distance of the closed frontier through early 2026. GLM-5.1 followed in April with a 200K context window, and GLM-5.2 pushed the family to a 1M-token context in June 2026.

GLM-5 — frequently asked questions

When was GLM-5 released?: GLM-5 was released by Z.ai on Thursday, Feb 12 2026.
Who made GLM-5?: GLM-5 was built by Z.ai. Chinese AI lab spun out of Tsinghua University (formerly Zhipu AI), building the open-weight GLM family. Rebranded internationally as Z.ai in 2025.
What benchmark scores did GLM-5 get?: GLM-5 reports 8 tracked benchmark scores — BullshitBench v2: 28%; SWE-Bench Verified: 77.8%; SWE-Bench Multilingual: 73.3%; Terminal-Bench 2.0: 56.2%; BrowseComp: 75.9%; Humanity's Last Exam (with tools): 50.4%; GPQA Diamond: 86%; Arena Elo (Code): 1435. Scores are the figures published at release by Z.ai.
How many parameters does GLM-5 have?: GLM-5 is reported at 744B parameters.
Is GLM-5 open source?: Partly. GLM-5 is an open-weight model: the trained weights are free to download and run locally or on your own infrastructure, but the training data and code are not fully released and the license may restrict some commercial uses. It is not open source in the strict sense.
What came before and after GLM-5?: Z.ai's previous tracked release was GLM-4.7 on Dec 22 2025, 52 days earlier. It was followed by GLM-5.1 on Apr 7 2026.

Compare GLM-5 with

GLM-5vsGLM-5.3 GLM-5vsGPT-5.6-Cyber GLM-5vsClaude Opus 5 GLM-5vsGemini 3.7 Flash GLM-5vsMuse Glimmer GLM-5vsGrok 4.6 GLM-5vsDeepSeek-V4-Pro-0813 GLM-5vsMistral Medium 3.5 GLM-5vsKimi K3 GLM-5vsComposer 2.5 GLM-5vsQwen3.8-27B