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GLM 5.2

4.6/5Open weights (MIT) / GLM Coding Plan from $10/mo
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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.

What is 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.

GLM 5.2 sits in the writing category and is listed in the AIverse AI tools directory, where it holds an editorial rating of 4.6 out of 5 based on its capabilities, usability, value for money and reliability. It is developed by Zhipu AI, founded in 2023.

GLM 5.2 features and use cases

People typically use GLM 5.2 for Commercial use of open weights, Agentic coding on a budget, Whole-repo / long-context coding and Private deployments.

It is often associated with LLM, Open Weights, MIT License, Coding and Long Context. Developers can integrate GLM 5.2 into their own products through its API.

GLM 5.2 pricing

GLM 5.2 offers a free plan, with paid tiers (Open weights (MIT) / GLM Coding Plan from $10/mo) that unlock more advanced features and higher usage limits.

As with any AI tool, the right plan depends on how heavily you use it. We recommend trying GLM 5.2 before committing to a paid plan.

Is GLM 5.2 worth it? Our bottom line

Overall, GLM 5.2 is a strong choice in the writing category for 2026. Its standout strengths include Top open-weight coding model (81.0 Terminal-Bench) and Huge 1M-token context window. Bear in mind ~750B params heavy to self-host and Less brand recognition outside China. If it matches your workflow, GLM 5.2 is well worth a try — especially since you can start on a free plan.

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

Commercial use of open weightsAgentic coding on a budgetWhole-repo / long-context codingPrivate deployments

💡 Expert tips

  • GLM-5.2’s MIT licence lets you ship it commercially — a real edge over Llama’s more restrictive licence.
  • Use the "Max" reasoning mode for hard multi-file changes and "High" for everyday generation to balance speed and depth.

ℹ️ Key facts

Company
Zhipu AI
Founded
2023
API
Yes

Last updated: Jun 2026

4.6
Rating
13.0k
Views
Freemium
Pricing

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.