GLM-5.2 Is Open-Source and Actually Free. I Tested Every Platform So You Don’t Have To.
Last week, a model I’ve been watching quietly took the top spot on the Artificial Analysis open-source leaderboard. GLM-5.2 from Zhipu AI scored 51 points and held its own against GPT-5.5 in agent benchmarks. That would’ve been headline news six months ago. But what caught my attention wasn’t the benchmark number — it was the price tag.
Free. Actually free.
Not a free trial that expires. Not a limited-time promotion. Six different platforms where you can run this model right now without paying anything. I went through all of them so you don’t have to.
Here’s what I found.
**The Model Worth Knowing About First**
GLM-5.2 is a 744B parameter mixture-of-experts model with a 1 million token context window. MIT license. It handles agent workflows — multi-step reasoning, tool use, context retention — about as well as GPT-5.5 according to the benchmarks. For developers building AI agents, this is the part that matters. Raw intelligence scores are fine, but if the model can’t maintain state across a long task or call external tools reliably, the benchmark number doesn’t mean much in practice.
What makes it unusual is the open-source + free combination. Most models this capable cost money to run. GLM-5.2 doesn’t. That’s the story.
**Platform 1 — Z.ai ZCode: 3 Million Tokens Per Day**
Zhipu’s own platform. This one has a permanent free tier — no promotional window, no credit card required. You get 3 million tokens per day of GLM-5.2, which is genuinely generous. Most developers could run a full day of active coding work on that alone.
The web interface is clean. You can also route it through Claude Code or any Anthropic-compatible client by pointing the base URL to `https://api.z.ai/api/anthropic` and selecting `glm-5.2`. That makes it a drop-in replacement for local development if you’ve already got a workflow set up.
The catch: this is the official platform, so it’s subject to fair-use rate limits. If you’re running heavy production traffic, you’ll burn through the daily allocation fast. For individual use and prototyping, it’s the most reliable free option.
**Platform 2 — Hugging Face: Zero Dollars**
This is the one most developers are using right now. Hugging Face has GLM-5.2 available through their Inference Providers at $0. No credit card, no paid account needed. The requests route to backends like DeepInfra, Fireworks, and Novita depending on load.
You need a free HF_TOKEN, which takes about two minutes to generate. After that, it’s API access just like any other provider — point your client at the HF endpoint, pass your token, and you’re running. People have been plugging this into Cursor, OpenCode, and Claude Code without issues.
One thing to know: this is a shared infrastructure, so response times vary. During peak hours, it can be slow. But the price is hard to argue with.
The window on this might close eventually — free shared inference isn’t something providers can sustain indefinitely. If you’re going to use it, now is the time.
**Platform 3 — SiliconFlow: 14 Yuan Signup Bonus**
SiliconFlow is a Chinese AI API platform that’s become popular in the domestic developer community. They give new users 14 yuan in free credits — roughly equivalent to 20 million tokens of GLM-5.2 at their rates. Input runs at ¥8 per million tokens, output at ¥28 per million.
The signup bonus is enough to run meaningful tests. Speed and stability are solid from what I’ve seen in the forums. If you’re based in Asia or working with Chinese-language content, this is the most convenient option. Their API documentation is in Chinese, which some people find slower to work through.
It’s not free beyond the signup bonus, but the rates are competitive compared to Western providers.
**Platform 4 — DeepInfra: The Backend Behind the Free HF Route**
DeepInfra is one of the providers powering the Hugging Face free tier. If you skip HF and go direct, the pricing is $1.2 to $4.2 per million tokens depending on model configuration and throughput tier.
What DeepInfra offers over the HF route is consistency. You get your own dedicated capacity rather than sharing infrastructure with everyone else hitting HF at the same time. Latency is lower and more predictable. For anything where response speed matters — real-time applications, production systems — the direct route is worth paying for.
**Platform 5 — NVIDIA NIM: Free API Key**
NVIDIA’s build.nvidia.com hosts GLM-5.2 as part of their model catalog. You register, get a free API key, and can make calls immediately. There’s no free credit attached, but there’s also no cost to start testing.
The NIM offering is primarily aimed at developers doing prototyping and evaluation. It’s a good option if you want to validate how GLM-5.2 performs on your specific use case before committing to a paid provider. Once you’ve validated, you’d typically move to a cheaper per-token provider for volume.
**Platform 6 — ZenMux: Actually 100% Free**
ZenMux has a dedicated `z-ai/glm-5.2-free` endpoint. No credit card, no rate limits that would surprise you — just a free model endpoint you can hit. Basic usage limits exist to prevent abuse, but they’re reasonable for personal use and agent testing.
1M context window is supported. For a hobbyist or independent developer who just wants to experiment without creating any accounts or spending any money, this is the path of least resistance.
**What the Paid Tiers Look Like**
If you exhaust the free options and need more, Z.ai ZCode has three paid plans. Lite at $18/month gets you roughly 80 prompts per month on the 5-hour plan. Pro at $72/month gets around 400. Max at $160/month gets approximately 1,600.
One detail worth knowing: GLM-5.2 counts 3x during peak hours and 2x during off-peak. Before the end of September, off-peak usage counts as 1x — effectively a discount window if you can schedule heavy use outside busy periods. Each prompt in a coding context typically triggers 15-20 model calls, so the per-prompt cost is lower than it initially sounds.
**My Take**
Start with Hugging Face if you’re outside China. Takes two minutes to get a token, works with any standard AI client, and the price is exactly right.
If you’re in China or prefer Chinese-language support, SiliconFlow is the most frictionless path.
If you want the most tokens for free on a single platform, ZCode’s 3 million daily limit is the strongest offering.
If this is a project you care about long-term, the ZCode free tier plus a small paid plan during the September discount window is probably the most cost-effective path.
GLM-5.2 is genuinely a strong model. The open-source release, the 1M context, the agent capability numbers — any one of those would be worth writing about. The fact that you can run it for free on six different platforms today makes it worth trying right now.
