Every GLM (Z.ai) Model Explained and Compared [2026] - Second Talent
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Every GLM (Z.ai) Model Explained and Compared [2026]

Matt Li By Matt Li 11 min read
TL;DR: Z.ai's flagship is GLM-5.3, released on August 18, 2026 at $1.40 per million input tokens and $4.40 per million output tokens. GLM-5.3-Flash is the cheap open model at $0.15 and $0.50 under an MIT licence, and GLM-4.7-Flash costs nothing on the API. Developers who want GLM inside Claude Code or Cursor can buy the GLM Coding Plan from $18 a month.

Z.ai earned RMB825 million from its open platform and GLM API in the first half of 2026, up 2,735.7% on a year earlier. Over the same six months its average API selling price rose about 101%, and API sales grew to 86.5% of company revenue.

Key takeaways
  1. 1GLM-5.3 is the first GLM flagship since GLM-4.5 not released under MIT. Its licence adds a Z.ai security review for AI service firms above $10 billion in revenue.
  2. 2GLM-5.3 scores 44.9 on the Artificial Analysis Intelligence Index, the highest of any open-weights model.
  3. 3Z.ai stopped publishing SWE-bench Verified scores after GLM-4.7, which it put at 73.8%.
  4. 4The company behind GLM has been on the US Entity List since January 16, 2025.

The GLM Models at a Glance

Z.ai’s pricing page lists 19 GLM text and vision models today, from the free GLM-4.7-Flash to the GLM-5.3 flagship. Most have open weights on Hugging Face. The table covers the current text models and the vision model most teams use.

ModelReleasedSize (total / active)ContextLicence
GLM-5.3Aug 18, 2026GLM-5 architecture1MCustom GLM-5.3 licence
GLM-5.3-FlashAug 26, 2026320B / 18B1MMIT
GLM-5.2Jun 16, 2026GLM-5 architecture1MMIT
GLM-5.1Apr 7, 2026GLM-5 architecture200KMIT
GLM-5Feb 12, 2026744B / 40B200KMIT
GLM-4.7Dec 22, 2025GLM-4.5 architecture200KMIT
GLM-4.7-FlashJan 19, 202630B / 3B200KMIT
GLM-4.6Sep 30, 2025GLM-4.5 architecture200KMIT
GLM-4.5Jul 28, 2025355B / 32B128KMIT
GLM-4.5-AirJul 28, 2025106B / 12B128KMIT
GLM-4.6VDec 8, 2025106B128KMIT
Where the sizes come from. Z.ai states parameter counts for GLM-5 (744B total, 40B active) and GLM-4.5 (355B, 32B), but not for the point releases built on them. Dates and context windows are from Z.ai’s release notes and model guides, read on September 15, 2026.

GLM-5.3: The Flagship

#19 on Arena text128K max output$0.26 cached input

Z.ai shipped GLM-5.3 on the same base model as GLM-5.2 and at the same price: $1.40 input and $4.40 output. Z.ai’s model card compares the two on long coding and security tasks, where GLM-5.3 beats GLM-5.2 on every shared test, by 4.7 points on Agents’ Last Exam up to 30 points on ExploitBench.

Column chart of the Artificial Analysis Intelligence Index v4.3: Claude Fable 5.1 53.4, GPT-6 Astra 52.8, Claude Opus 5 50.7, GLM-5.3 44.9, Kimi K3 43.8, Qwen3.8-Max 40.3 and DeepSeek V4.1 Flash 39.5.

On Artificial Analysis, GLM-5.3 trails Claude Fable 5.1 by 8.5 points and leads every other Chinese model. On the Arena text leaderboard, glm-5.3-max ranks 19th with 1,483 points, two places behind Moonshot’s Kimi K3.

Z.ai’s own model card reports 88.2 on Terminal Bench 2.1, against 88.8 for GPT-5.6 Sol, and 84.5 on CyberGym. Treat those as vendor figures: the card does not report SWE-bench Verified at all.

GLM-5.3 is text only. For images, screenshots or documents, use GLM-5.3-Flash or GLM-4.6V.

GLM-5.3-Flash: Open, Multimodal and Cheap

11.65T OpenRouter tokens in one week320B total, 18B activeMIT licence

Under its test name “Ox Alpha”, GLM-5.3-Flash processed 62 trillion tokens in its first six days, Z.ai told investors in its interim results. It is the first GLM-5 model with image input, and it is the default model in the chat.z.ai app.

At $0.15 input and $0.50 output per million tokens, it costs about a ninth of GLM-5.3. It ranked fourth among all models on OpenRouter in the week to September 14, with 11.65 trillion tokens. Z.ai’s Flash launch post reports 84.3 on Terminal Bench 2.1 and 59.1 on OSWorld 2.0, a computer-use test.

The weights ship under plain MIT, so GLM-5.3-Flash is the model to self-host if you want the newest GLM without the custom licence. It activates 18B parameters per token, against 40B for GLM-5, so each token needs less compute.

GLM-5, GLM-5.1 and GLM-5.2

GLM-5 arrived on February 12, 2026 with 744 billion parameters, 40 billion of them active per token. It was the largest GLM model at release. Z.ai still sells it at $1.00 input and $3.20 output, the cheapest route to the GLM-5 architecture.

  • GLM-5.1 (April 7, 2026) kept the 200K context and is listed at $1.40 and $4.40, the price every later flagship has kept.
  • GLM-5.2 (June 16, 2026) extended context to 1 million tokens and stayed under MIT. NIST’s CAISI called it “probably the most capable open-weight AI model when it was released”, with overall capability similar to GPT-5.2.
  • GLM-5-Turbo and GLM-5V-Turbo, two API-only variants priced at $1.20 and $4, disappeared from Z.ai’s pricing page between August 24 and August 29, 2026.

If you call GLM-5.2 or GLM-5.1 through the GLM Coding Plan, Z.ai now routes the request to GLM-5.3. On the pay-as-you-go API both models are still listed at the same price as GLM-5.3, so there is no cost reason to stay on them.

GLM-4.5, GLM-4.6 and GLM-4.7

GLM-4.5 set the pattern the lineup still follows: a large mixture-of-experts model under MIT, with a smaller Air sibling released the same day. It shipped on July 28, 2025 with 355B parameters and 32B active, next to the 106B GLM-4.5-Air.

Two point releases followed on the same architecture. GLM-4.6 (September 30, 2025) raised context to 200K tokens. GLM-4.7 (December 22, 2025) scored 73.8% on SWE-bench Verified by Z.ai’s count, the last time the company published that benchmark. Both cost $0.60 input and $2.20 output today.

The GLM-4 line also carries Z.ai’s free models. GLM-4.7-Flash, a 30B model with 3B active, is free on the API, as are GLM-4.5-Flash and the vision model GLM-4.6V-Flash. Two proprietary variants, GLM-4.5-X at $2.20 and $8.90 and GLM-4.5-AirX at $1.10 and $4.50, are API-only versions of the same pair. We reviewed the older GLM-4.6 in our GLM-4.6 coding review and against Claude in GLM vs Claude Sonnet.

Vision, Image, Speech and Phone Models

Z.ai’s API also covers vision, documents, images, video, speech and phone control, most of it cheap enough to run on every file or call:

GLM-4.6VVision
$0.30 / $0.90
106B, MIT. A 9B Flash version is free
GLM-OCRDocuments
$0.03 / $0.03
0.9B, MIT, released February 3, 2026
GLM-ImageImages
$0.015 an image
MIT. CogView-4 costs $0.01
CogVideoX-3Video
$0.20 a video
API only, released July 15, 2025
GLM-ASR-2512Speech to text
$0.03 per 1M
About $0.0024 a minute; 1.5B Nano weights under MIT
AutoGLM-PhonePhone agent
Free for now
9B, MIT; a phone-control agent model

Z.ai also open-sourced GLM-TTS, a text-to-speech model, under MIT in December 2025. It has no API price yet. The prices above are from Z.ai’s pricing page.

GLM Pricing Compared Across the Lineup

The most expensive GLM model on the API is not the flagship. GLM-4.5-X charges $8.90 per million output tokens, twice GLM-5.3, for an API-only version of a 2025 model.

Bar chart of Z.ai API list prices per million output tokens: GLM-4.5-X 8.90 US dollars, GLM-5.3 4.40, GLM-5.2 and 5.1 4.40, GLM-5 3.20, GLM-4.7 and 4.6 2.20, GLM-4.5-Air 1.10, GLM-5.3-Flash 0.50, GLM-4.7-FlashX 0.40 and GLM-4.7-Flash free.

Cached input is where GLM gets cheap for agents that resend long prompts. GLM-5.3 charges $0.26 per million cached tokens, and Z.ai lists cache storage as free for a limited time. GLM-5.3-Flash charges $0.03.

Against rivals, GLM-5.3 sits in the middle of the Chinese flagships. Kimi K3 costs $3 and $15, Qwen3.8-Max $2 and $6, and DeepSeek V4-Pro $1.32 and $3.96 at peak. Our US vs China AI model comparison sets these against GPT-6 and Claude, and the Kimi and DeepSeek guides cover those lineups.

Context Windows and Output Limits

ChatGLM-6B, the open model that started the line in March 2023, read 2,000 tokens. GLM-5.2 and everything after it reads 1 million.

Area chart of GLM context windows by release: ChatGLM-6B 2K tokens, ChatGLM3 8K, GLM-4-9B 128K, GLM-4.5 128K, GLM-4.6 200K, GLM-5 200K and GLM-5.2 1 million.

Output limits moved less. GLM-4.6, GLM-4.7 and every GLM-5 model can write up to 128K tokens in one reply, and GLM-4.5 tops out at 96K. The vision model GLM-4.5V is the outlier, with a 64K context and 16K output.

The GLM Coding Plan

The GLM Coding Plan is a flat monthly subscription that plugs GLM-5.3 and GLM-5.3-Flash into coding tools you already use. Z.ai lists Claude Code, Cursor, Cline, Codex, OpenCode, Roo Code, Kilo Code and TRAE, plus its own ZCode.

Range chart of Z.ai's estimate of GLM-5.3 tokens per week at a 95% cache hit rate: Lite at 18 US dollars a month 48 to 97 million, Pro at 80 dollars 290 to 580 million, Max at 168 dollars 676 to 1,352 million.

Plans cost $18 (Lite), $80 (Pro) and $168 (Max) a month, with 20% off quarterly and 30% off yearly. Z.ai meters usage in credits: Lite gets 10,000 a week, Pro 60,000 and Max 140,000. Off-peak requests use half the credits. Z.ai’s docs define peak as 14:00 to 18:00 Singapore time on weekdays.

Prices have gone up this year. An April 21, 2026 notice listed Pro at $72 and Max at $160, and the interim report confirms the increase. Team seats cost $88 or $188 a month, and Z.ai says team data is not used for training by default.

Licences, the Entity List and Other Things to Check

Every GLM flagship from GLM-4.5 to GLM-5.2 shipped under MIT. GLM-5.3 did not, so check which side of the line your model sits on.

MIT licence
  • GLM-5.3-Flash, GLM-5.2, GLM-5.1, GLM-5
  • GLM-4.7, GLM-4.6, GLM-4.5 and their Air and Flash versions
  • Use, modify and resell with a copyright notice
Custom licence or closed
  • GLM-5.3: model-as-a-service businesses above $10 billion in revenue must pass a Z.ai security review
  • GLM-4.5-X, GLM-4.5-AirX, GLM-4.7-FlashX: API only
  • ChatGLM-6B to ChatGLM3: older custom licences with registration

The US Commerce Department added Beijing Zhipu Huazhang Technology and several affiliates to the Entity List on January 16, 2025. The rule said they advance China’s military modernization through AI research. The listing controls exports of US items to those companies, so check it with counsel before you sell or license technology to Z.ai.

State rules can bite too. Texas added Zhipu (Z.ai) to its prohibited technology list for state agencies on January 26, 2026. On safety, CAISI found that GLM-5.2’s safeguards allowed help with agentic cyber exploit development. Run your own red-team prompts before a GLM model handles untrusted input.

Which GLM Model Should You Use?

  • Long coding or agent runs: GLM-5.3. It is the strongest GLM model, and its price matches GLM-5.2.
  • High-volume chat, extraction or image input: GLM-5.3-Flash, at about a ninth of the flagship’s price.
  • Self-hosting with no licence questions: GLM-5.3-Flash or GLM-5.2, both MIT.
  • Prototypes and hobby projects: GLM-4.7-Flash, free on the API.
  • Scanned documents: GLM-OCR at $0.03 per million tokens, before a text model reads the result.
  • Daily coding in Claude Code or Cursor: the GLM Coding Plan rather than pay-as-you-go, if you code most working days.

For how GLM compares with the other open Chinese models, see our ranking of Chinese open-source LLMs and the every Qwen model guide.

The Company Behind GLM

Z.ai began as Zhipu AI, founded in 2019, and changed its legal English name to Z.AI Co., Ltd. in July 2026. It trades in Hong Kong under stock code 2513.

Mar 2023
ChatGLM-6B: the first open GLM chat model, 6.2B parameters
Jan 16, 2025
US Entity List: Zhipu and affiliates added
Jan 8, 2026
Hong Kong IPO: priced at HK$116.20, closed its first day at HK$131.50
Jul 17, 2026
Z.AI: new English stock short name takes effect
Sep 12, 2026
Share placing: up to 21.97 million new shares at HK$714, for gross proceeds of about HK$15.7 billion

Hong Kong retail investors subscribed the IPO’s public tranche 1,159 times over, according to Z.ai’s allotment announcement. The September placing price was a 9.96% discount to a HK$793 close, which is more than six times the IPO price.

Treemap of Z.ai revenue for the six months to June 30, 2026: open platform and API 825.2 million yuan, 87%; general-purpose models for enterprises 67.0 million; enterprise agents 55.6 million; other 6.1 million.

The API business is now almost the whole company. In the six months to June 30, 2026, revenue rose 399.7% to RMB953.9 million, and the enterprise model business fell 54.6%, per the interim results. Z.ai still lost RMB2.07 billion over the half, and spent RMB2.13 billion on research. It counts over 7.4 million enterprise and developer users on its platform. Our list of top Chinese AI companies covers its rivals.

Build on GLM With the Right Engineers

Running GLM well means serving a mixture-of-experts model, wiring it into agent tools and checking its licence and safety before launch. Second Talent matches companies with vetted engineers from Asia who do this work. Hire LLM engineers, or find LLM engineers in China who already work with Chinese model stacks.

Tell us the role you need to fill and get a shortlist within 24 hours.

Frequently Asked Questions

Is GLM open source?

Most of it. GLM-5.3-Flash, GLM-5.2, GLM-4.7, GLM-4.6 and GLM-4.5 publish weights under MIT on Hugging Face. GLM-5.3’s weights are public too, but under a custom licence.

Is GLM free to use?

Yes, in two ways. The chat.z.ai app is free after sign-up, and GLM-4.7-Flash, GLM-4.5-Flash and GLM-4.6V-Flash cost nothing on the API. The newer models cost money.

Are Zhipu AI and Z.ai the same company?

Yes. Zhipu AI is the original name of the Beijing company. Its legal English name became Z.AI Co., Ltd. in July 2026, and Z.ai is its international brand for GLM.

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Matt Li

Written by

Matt Li is a tech-driven entrepreneur with deep expertise in global talent strategy, digital experience optimization, e-commerce, and Web3 innovation. He is the Co-Founder of Second Talent, a US-based company that connects businesses with top-tier tech professionals worldwide. Since launching the company in 2024, Matt has led its growth by leveraging technology to streamline remote hiring and scale distributed teams. With a background spanning product, operations, and innovation, Matt brings a cross-disciplinary perspective to the evolving digital economy. His work sits at the intersection of global talent, emerging technology, and scalable digital transformation.

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