Off late, I’ve been questioning if I really want paid subscriptions to ChatGPT or Claude anymore. China has been rolling out one spectacular LLM after one other, and the most recent, GLM 4.6, is being hailed as among the finest but. This mannequin rivals Claude 4.5 Sonnet in coding and matches GPT-5 and Gemini 2.5 Professional in textual content era and reasoning. And right here’s the kicker: whereas the large tech gamers cost anyplace between $10 to $30 monthly for related options, GLM 4.6 offers you entry to all of it without cost. On this put up, we’ll discover GLM 4.6, entry it, its options, efficiency benchmarks, and a hands-on check on real-world duties.
Let’s get began with GLM 4.6!
What’s GLM 4.6?
Developed by the Chinese language firm Zhipu AI, GLM 4.6 is the most recent massive language mannequin and an improve over its predecessor, GLM 4.5. It’s a textual content era mannequin that works solely with textual content as each enter and output. The mannequin contains improved coding, reasoning, and agentic capabilities, permitting it to proactively select the proper software for a given process from the set of instruments obtainable.
Key Options of GLM 4.6
- Enhanced Context Window: GLM 4.6 boasts a context window of 200K tokens, which is considerably bigger than GLM 4.5’s 128K window.
- Higher Reasoning and Agentic Capabilities: The mannequin demonstrates improved reasoning and agentic efficiency. It integrates easily with agent frameworks and delivers extra constant, dependable outputs.
- Higher Coding: GLM 4.6 performs exceptionally properly on coding benchmarks and integrates successfully with instruments like Claude Code, Cline, and Kilo Code.
The perfect half?
The GLM 4.6 mannequin weights are publicly obtainable on Hugging Face beneath the MIT license, making it an open-access mannequin. In actual fact, it presently ranks #1 amongst open fashions and #4 general on the LMArena leaderboard.
Is GLM 4.6 Free or Paid?
The mannequin may be accessed freely by way of its chat platform. Right here the chatbot assists you with all attainable duties be it involving textual content era, coding, enhancing. However the API it incurs some value which relies on the utilization and the fee for enter and output tokens. Lastly, GLM-4.6 is available in a Coding Plan the place it prices round $3/month for its mild model to $15/month for the professional model.
Easy methods to Entry GLM-4.6?
Anybody can entry this mannequin utilizing its chat interface or API.
To entry it utilizing Chat interface:
- Head to this hyperlink.
- Login or Signal as much as create your account.
- From the dropdown current on the high, in the midst of the display, choose the mannequin GLM-4.6
- Add the immediate within the chatbox in the midst of the display.
To entry GLM-4.6 utilizing API:
- Go to this web site and click on on ‘API keys’
- When you don’t have a pervious account then create a brand new account or signup with Google
- Now click on on ‘Create new API key’ and provides a reputation to your API and click on on ‘affirm’
Actual World Duties with GLM-4.6
On this part, we are going to put this newest LLM to check on three fundamental duties round:
- Coding
- Reasoning
- Agentic Capabilities
Let’s begin with the primary one!
Coding
Immediate: “Create a inventory market evaluation app, that implies folks diversify their funding based mostly on their future objectives”
Output:
Discover full output right here!
Evaluation:
I acquired a stellar output from this LLM. I chosen the “Full Stack” software after writing my immediate to ensure the mannequin understood it wanted to construct a prototype for my thought. The request was to create a market evaluation app that would assist customers work out how a lot to take a position and align their investments with future objectives.
The generated webpage included a number of tabs: Dashboard, Funding Objectives, Portfolio Evaluation, and AI Suggestions. Every tab served a transparent function, serving to customers plan, monitor, and optimize their investments based mostly on their objectives. I discovered your complete interface user-friendly and interactive, particularly the sections on Funding Objectives and AI Suggestions, which offered actionable insights and a clean expertise.
Reasoning
Immediate: “Analyze the picture and describe what’s taking place. Comply with the arrows to hint the trajectory of closed- vs. open-source fashions on the dimensions proven. Interpret what this implies, discover its implications, and supply a centered deep-dive into the way forward for open-source fashions. Assist your conclusions with easy, clear charts or visuals to make insights simple to know.”
Output:
Evaluation:
The mannequin first gave the response in Chinese language, so I requested it to supply it in English. It accurately learn the picture, figuring out the place every LLM stood and the place the arrows pointed. However its reasoning was not correct. The mannequin’s interpretation was removed from what the picture implied.
The picture confirmed that the hole between open-source and closed-source fashions is reducing, however the mannequin mentioned the divide is growing. It additionally created a thoughts map for the way forward for open-source fashions, which seemed good, however the content material was principally incorrect.
Agentic Capabilities
Immediate: “I would like the entire listing of tariffs imposed by Trump on completely different nations, the change in tax charges earlier than and after tariffs and the attainable influence on each the economies of that nation and USA after the imposition of these tariffs. Create a visualization of the general tariffs imposed by trump on varied nations and the graph of the financial influence.”
Output:
Evaluation:
At first look, the output appears to be like detailed and full. It appears to cowl every part you requested for. However as all the time, it’s necessary to learn it rigorously earlier than counting on it. The mannequin begins properly, explaining the influence of the Trump tariffs, however the issues seem within the particulars. The tariff charges it listed had been solely up to date till April 9, and even after a number of tries, the mannequin failed to incorporate the most recent information. This exhibits a transparent limitation in its agentic capabilities.
Efficiency and Benchmarks
GLM 4.6 performs strongly throughout key benchmarks for reasoning, coding, and agentic duties, displaying noticeable positive factors over GLM 4.5 and competing fashions:
- AIME 25: Highest general rating, main in reasoning with instruments.
- GPQA & LiveCodeBench v6: Sturdy efficiency in problem-solving and coding accuracy.
- BrowseComp: Important enchancment in searching and comprehension duties.
- SWE-bench Verified: Aggressive outcomes, near Claude fashions.
- HLE & Terminal-Bench: Average scores with room for enchancment.
- τ²-Bench: Barely behind Claude Sonnet however nonetheless strong.
Additionally Learn: 14 Fashionable LLM Benchmarks to Know in 2025
Is GLM-4.6 higher than GPT-5 or Gemini 2.5 Professional or Claude Sonnet 4.5?
Thus far for me, I feel the reply to this query is NO. The mannequin comes with an enormous context window, however its reasoning and agentic capabilities don’t stand an opportunity towards the highest fashions by OpenAI or Google. The mannequin is quick however in some way hallucinates in the way in which it retrieves and processes info. On the coding entrance, it exhibits important enchancment from the final mannequin and with its integrations on high coding instruments like Claude Code – this mannequin is ready to be a companion for coders at a less expensive price ticket.
Different main releases:
Conclusion
GLM 4.6 isn’t a mannequin you’d use for on a regular basis duties. Though it’s free, its responses are much less dependable than these from different fashions. LLMs have improved quickly over the previous few months, and lots of open fashions now present spectacular sophistication. Compared, GLM 4.6 nonetheless falls in need of that commonplace. Nevertheless, it has obtained constructive suggestions for its coding efficiency. We are able to count on its outputs to enhance within the coming days.
Give it a attempt to let me know when you agree with my overview.
Anu Madan is an knowledgeable in educational design, content material writing, and B2B advertising and marketing, with a expertise for reworking complicated concepts into impactful narratives. Along with her concentrate on Generative AI, she crafts insightful, progressive content material that educates, conjures up, and drives significant engagement.
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