1
DeepSeek
DeepSeek offers highly cost-effective open-weight models with strong performance in algorithmic reasoning and competitive programming, alongside a 1M token context window.
AI Tool
GLM-5.2 Review
GLM-5.2 is a 750 billion parameter, open-source large language model from Zhipu AI, designed for coding tasks with a focus on cost-effectiveness and long-horizon task execution.
shipped Jun 22, 2026aifreemium
1Features 750 billion parameters and a 1-million-token context window.
2Achieved a 62.1% score on SWE-bench Pro, surpassing GPT-5.5 (58.6%).
3Launched on June 13, 2026, with MIT-licensed open weights announced.
4Incorporates IndexShare, reducing per-token FLOPs by 2.9x at 1M context length.
GLM-5.2 at a Glance
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overview
What is GLM-5.2?
GLM-5.2 is a large language model tool developed by Zhipu AI that enables software engineers and developers to perform agentic coding and long-horizon software engineering tasks. It is a 750 billion parameter, open-source model with a 1-million-token context window, announced on June 13, 2026, as a flagship in the GLM-5 series.
quick facts
Quick Facts
| Attribute | Value |
|---|---|
| Developer | Zhipu AI |
| Business Model | Freemium / Open Source |
| Pricing | Freemium (via GLM Coding Plan), standalone API (usage-based, details pending), MIT-licensed open weights |
| Platforms | API, Chatbot (announced) |
| API Available | Yes (live June 16, 2026) |
| License | MIT-licensed (open weights) |
| Parameters | 750 billion |
| Context Window | 1 million tokens |
| Launch Date | June 13, 2026 |
features
Key Features of GLM-5.2
GLM-5.2 integrates several architectural and functional advancements to support its primary use cases in autonomous software engineering and long-horizon tasks. Its design emphasizes efficiency, reasoning capabilities, and flexibility for developers.
- 1750 billion parameter large language model.
- 21-million-token context window, a 5x increase from GLM-5.1.
- 3Agentic AI model designed for autonomous, long-term project execution with self-correction capabilities.
- 4Specialized "Thinking Mode" for breaking down complex problems into logical steps, enhancing STEM and mathematical problem-solving.
- 5IndexShare architecture reuses indexers across every four sparse attention layers, reducing per-token FLOPs by 2.9x at 1M context length.
- 6Improved Multi-Token Prediction (MTP) layer for speculative decoding, increasing acceptance length by up to 20%.
- 7Trained entirely on domestic Huawei Ascend chips.
- 8MIT-licensed open weights for self-hosting and customization.
- 9Low built-in moderation, offering flexibility for creative outputs and natural story flow.
use cases
Who Should Use GLM-5.2?
GLM-5.2 is engineered for specific professional applications requiring advanced AI capabilities in code generation, complex problem-solving, and extensive data processing. Its design targets users who benefit from autonomous agents and large context windows.
- 1**Software Engineers and Developers:** For autonomous software engineering, including building entire applications (front-end, back-end, database) from a single prompt, and for long-horizon coding projects requiring minimal human intervention.
- 2**Researchers and Analysts:** For long-horizon tasks involving processing and reasoning over vast amounts of text or code, such as summarizing entire regulatory handbooks or multi-year audit trails.
- 3**STEM Professionals:** For advanced reasoning and mathematical problem-solving, leveraging its "Thinking Mode" to handle high-level logic and perform deep, step-by-step analysis.
- 4**Content Creators and Data Processors:** For high-volume text processing tasks like document summarization, content moderation, and classification, benefiting from its efficiency and cost-effectiveness. Its low moderation also suits creative fields requiring unrestricted outputs.
pricing
GLM-5.2 Pricing & Plans
GLM-5.2 operates on a freemium model, with access provided through existing GLM Coding Plan subscriptions. A standalone API was announced to go live on June 16, 2026, with specific usage-based pricing details expected upon release. Additionally, MIT-licensed open weights for GLM-5.2 were announced for release "next week" following the June 13, 2026 launch, allowing for free self-hosted deployment.
- 1Freemium: Included with GLM Coding Plan subscriptions.
- 2Standalone API: Usage-based pricing (details to be announced post-June 16, 2026 launch).
- 3Open Weights: MIT-licensed, available for free self-hosting.
competitors
GLM-5.2 vs Competitors
GLM-5.2 is positioned as a leading open-source large language model, particularly strong in agentic coding and long-horizon tasks, and is competitive with proprietary frontier models. Its 1-million-token context window and performance on coding benchmarks place it among top-tier offerings.
1
DeepSeek↗
DeepSeek offers highly cost-effective open-weight models with strong performance in algorithmic reasoning and competitive programming, alongside a 1M token context window.
DeepSeek V4 Flash is significantly cheaper per token than GLM-5.2, while DeepSeek V4 Pro excels in algorithms where GLM-5.2 leads in general software engineering tasks. Both are open-weight and MIT-licensed, targeting developers seeking frontier coding without proprietary lock-in.
2
Qwen (Alibaba Cloud)↗
Qwen provides a family of open-weight large language models, including variants optimized for demanding agentic coding and long context windows, with competitive performance against frontier models.
Qwen 3.6 Plus is a top open-weight choice for agentic coding with a 1M token context, similar to GLM-5.2's focus on long-horizon tasks, and is noted for its cost-effectiveness.
3
MiniMax↗
MiniMax M3 is a recently released open-weight model that combines frontier-tier coding capabilities with a 1M-token context and native multimodal input support.
MiniMax M3 directly competes with GLM-5.2 in agentic coding and long-horizon task execution, offering similar performance on benchmarks like SWE-Bench Pro, but also includes multimodal capabilities.
4
Kimi specializes in long-context processing and agent-oriented workflows, particularly strong in coordinating multi-agent swarms for complex coding tasks.
Kimi K2.6 is an open-weight model that, like GLM-5.2, targets agentic coding and long-context reasoning, but emphasizes its ability to manage extensive autonomous runs and agent swarms.
❓
Frequently Asked Questions
+What is GLM-5.2?
GLM-5.2 is a large language model tool developed by Zhipu AI that enables software engineers and developers to perform agentic coding and long-horizon software engineering tasks. It is a 750 billion parameter, open-source model with a 1-million-token context window, announced on June 13, 2026, as a flagship in the GLM-5 series.
+Is GLM-5.2 free?
GLM-5.2 is available on a freemium model. Access is included with GLM Coding Plan subscriptions. A standalone API with usage-based pricing was announced for June 16, 2026. Additionally, MIT-licensed open weights for GLM-5.2 were announced for free self-hosted deployment.
+What are the main features of GLM-5.2?
Key features of GLM-5.2 include its 750 billion parameters, a 1-million-token context window, agentic AI capabilities for autonomous software engineering, a specialized "Thinking Mode" for complex problem-solving, and architectural improvements like IndexShare and an improved Multi-Token Prediction layer. It was trained on Huawei Ascend chips and offers MIT-licensed open weights.
+Who should use GLM-5.2?
GLM-5.2 is primarily designed for software engineers and developers engaged in autonomous coding and long-horizon software engineering tasks. It is also suitable for researchers and analysts requiring extensive text and code processing, STEM professionals needing advanced reasoning, and content creators seeking flexible, high-volume text generation.
+How does GLM-5.2 compare to alternatives?
GLM-5.2 is a strong contender in the open-source LLM space, offering a 1-million-token context window comparable to proprietary models like Claude Opus 4.8 and GPT-5.5. It outperforms GPT-5.5 on SWE-bench Pro and FrontierSWE, and competes closely with Claude Opus 4.8 on long-horizon tasks. Against open-source alternatives like DeepSeek, Qwen, MiniMax, and Kimi, GLM-5.2 differentiates itself with its specific focus on general software engineering tasks, while maintaining competitive performance and cost-effectiveness.
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