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 newest, GLM 4.6, is being hailed as among the best but. This mannequin rivals Claude 4.5 Sonnet in coding and matches GPT-5 and Gemini 2.5 Professional in textual content technology and reasoning. And right here’s the kicker: whereas the massive tech gamers cost anyplace between $10 to $30 monthly for related options, GLM 4.6 provides you entry to all of it free of charge. On this publish, we’ll discover GLM 4.6, how you can 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 newest massive language mannequin and an improve over its predecessor, GLM 4.5. It’s a textual content technology 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 fitting instrument for a given activity from the set of instruments accessible.
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 very best half?
The GLM 4.6 mannequin weights are publicly accessible on Hugging Face below the MIT license, making it an open-access mannequin. Actually, it at the moment ranks #1 amongst open fashions and #4 total on the LMArena leaderboard.
Is GLM 4.6 Free or Paid?
The mannequin may be accessed freely by means of its chat platform. Right here the chatbot assists you with all potential duties be it involving textual content technology, coding, modifying. However the API it incurs some price which is dependent upon the utilization and the price 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.
Find out how 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 course of the display, choose the mannequin GLM-4.6
- Add the immediate within the chatbox in the course of the display.
To entry GLM-4.6 utilizing API:
- Go to this web site and click on on ‘API keys’
- If you happen to 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’ll put this newest LLM to check on three primary duties round:
- Coding
- Reasoning
- Agentic Capabilities
Let’s begin with the primary one!
Coding
Immediate: “Create a inventory market evaluation app, that means individuals how you can diversify their funding primarily based on their future targets”
Output:
Discover full output right here!
Assessment:
I obtained a stellar output from this LLM. I chosen the “Full Stack” instrument after writing my immediate to verify the mannequin understood it wanted to construct a prototype for my concept. The request was to create a market evaluation app that might assist customers determine how a lot to speculate and how you can align their investments with future targets.
The generated webpage included a number of tabs: Dashboard, Funding Targets, Portfolio Evaluation, and AI Suggestions. Every tab served a transparent objective, serving to customers plan, observe, and optimize their investments primarily based on their targets. I discovered your entire interface user-friendly and interactive, particularly the sections on Funding Targets and AI Suggestions, which offered actionable insights and a clean expertise.
Reasoning
Immediate: “Analyze the picture and describe what’s occurring. Observe 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 targeted deep-dive into the way forward for open-source fashions. Assist your conclusions with easy, clear charts or visuals to make insights simple to grasp.”
Output:
Assessment:
The mannequin first gave the response in Chinese language, so I requested it to offer 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 stated the divide is rising. It additionally created a thoughts map for the way forward for open-source fashions, which appeared good, however the content material was largely incorrect.
Agentic Capabilities
Immediate: “I need the entire checklist of tariffs imposed by Trump on completely different international locations, the change in tax charges earlier than and after tariffs and the potential impression 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 international locations and the graph of the financial impression.”
Output:
Assessment:
At first look, the output appears detailed and full. It appears to cowl all the things you requested for. However as at all times, it’s vital to learn it rigorously earlier than counting on it. The mannequin begins properly, explaining the impression 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 newest 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, exhibiting noticeable features over GLM 4.5 and competing fashions:
- AIME 25: Highest total 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: Reasonable scores with room for enchancment.
- τ²-Bench: Barely behind Claude Sonnet however nonetheless stable.
Additionally Learn: 14 In style LLM Benchmarks to Know in 2025
Is GLM-4.6 higher than GPT-5 or Gemini 2.5 Professional or Claude Sonnet 4.5?
Up to now 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 one way or the other hallucinates in the best way it retrieves and processes info. On the coding entrance, it exhibits vital enchancment from the final mannequin and with its integrations on high coding instruments like Claude Code – this mannequin is about 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. As compared, GLM 4.6 nonetheless falls wanting that customary. Nonetheless, it has obtained optimistic suggestions for its coding efficiency. We will count on its outputs to enhance within the coming days.
Give it a try to let me know in case you agree with my overview.
Anu Madan is an professional in tutorial design, content material writing, and B2B advertising, with a expertise for reworking advanced concepts into impactful narratives. Along with her give attention to Generative AI, she crafts insightful, modern content material that educates, evokes, and drives significant engagement.
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