We just added GLM 5.2 to Gleap, and honestly, this one's a big deal.

Z.ai (formerly Zhipu) released GLM-5.2 on June 13, 2026, and it's their most capable model yet. Here's why we're excited to bring it into the platform:

A genuinely usable 1M context window. The window jumps from 200K in GLM-5.1 to 1 million tokens, with outputs capped at 131,072 tokens per response. For Kai working across whole repos, long ticket histories, and sprawling conversation threads, that's exactly the kind of headroom that matters.

Built for real engineering work, not just chat. The GLM series emphasizes coding, tool usage, multi-step reasoning, repository analysis, and long-running agent workflows — which lines up perfectly with how Kai actually operates.

The benchmarks back it up. On SWE-bench Pro, GLM-5.2 scored 62.1, beating GPT-5.5 (58.6) and its own predecessor GLM-5.1 (58.4). On the long-horizon FrontierSWE test it hit 74.4%, surpassing GPT-5.5 (72.6%) and finishing in a near-tie with Claude Opus 4.8 (75.1%). It also took first place on the Design Arena benchmark with an ELO of 1360 — not bad for an open model.

Open weights, no borders. Z.ai released the weights under an MIT license, with their docs explicitly noting no regional limits and technical access without borders. Great news for anyone who cares about model sovereignty.

Running on our own EU GPU cluster. We're provisioning GLM 5.2 ourselves on our own GPU cluster in the EU — no third-party API, no data leaving the region. Your prompts, your code, your customer data stay inside our infrastructure. That's the whole point of an open-weights model: we get frontier-class capability and full control over where it runs.

And it's seriously cost-effective. It beats GPT-5.5 on multiple long-horizon coding benchmarks at roughly 1/6th the cost.

GLM 5.2 is available in Gleap now — pick it from the model selector and give it a spin.