GLM 5.2
Zhipu AI's GLM-5.2 — the top open-weight coding model of mid-2026. A ~750B sparse MoE (≈40B active) under an MIT license, with a 1-million-token context window and benchmarks (81.0 Terminal-Bench, 62.1 SWE-Bench Pro) sitting just behind Claude Opus 4.8.
✅ Our verdict
GLM-5.2 is the best open-weight model for coding in mid-2026: top open Terminal-Bench score, a 1M-token context window and an MIT license, at roughly a sixth of GPT-5.5's cost. It is the standout choice for teams that want to build on and ship open weights without restrictive licensing.
👍 Pros
- +Top open-weight coding model (81.0 Terminal-Bench)
- +Huge 1M-token context window
- +Permissive MIT license for commercial use
- +Beats GPT-5.5 on cost (about 1/6th)
- +Two reasoning modes (High / Max)
👎 Cons
- −~750B params heavy to self-host
- −Less brand recognition outside China
- −Smaller third-party tooling
- −Top mode trades speed for depth
🎯 Use cases
ℹ️ Key facts
Last updated: Jun 2026
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Try GLM 5.2 Now
Zhipu AI's GLM-5.2 — the top open-weight coding model of mid-2026. A ~750B sparse MoE (≈40B active) under an MIT license, with a 1-million-token context window and benchmarks (81.0 Terminal-Bench, 62.1 SWE-Bench Pro) sitting just behind Claude Opus 4.8.
❓ Frequently Asked Questions
Is GLM 5.2 free?
Yes — GLM 5.2 offers a free plan (Open weights (MIT) / GLM Coding Plan from $10/mo) plus a paid tier for advanced features and higher usage limits. You can start for free and upgrade only if you need more.
What is GLM 5.2 used for?
GLM 5.2 is an AI writing tool. Zhipu AI's GLM-5.2 — the top open-weight coding model of mid-2026. A ~750B sparse MoE (≈40B active) under an MIT license, with a 1-million-token context window and benchmarks (81.0 Terminal-Bench, 62.1 SWE-Bench Pro) sitting just behind Claude Opus 4.8. It currently holds a 4.6/5 rating on Aiverse from real users.
Is GLM 5.2 worth it in 2026?
Yes — GLM 5.2 holds a strong 4.6/5 rating on Aiverse, making it one of the top-rated writing tools in 2026. It's a solid pick if it matches your use case.