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LLM Zhipu AI China

GLM-5.2

Deploy GLM-5.2 by Zhipu AI (Z.ai) as an open-source alternative for agentic AI. AI consultancy from Rosenheim supports GDPR-compliant self-hosted GLM integration.

License MIT
GDPR Hosting Available
Context 1M (GLM-5.2), 200k (GLM-5.1) Tokens
Modality Text → Text

Versions

Overview of available model variants

ModelReleaseEUStrengthsWeaknessesStatus
GLM-5.2 Recommended
June 2026
Strongest openly available open-weight model (Intelligence Index v4.1: 51, ahead of DeepSeek V4 Pro and Kimi K2.6) 1M token context window, up to 131k token output 62.1% SWE-Bench Pro, 81.0% Terminal-Bench 2.1 Beats GPT-5.5 on several long-horizon coding benchmarks at roughly one sixth the cost 744B parameters (40B active) MoE architecture with IndexShare (2.9x less compute per token at max context) Open source under MIT licence, no regional usage restrictions Two reasoning modes: High (fast) and Max (deeper for complex coding)
No native EU cloud integration Requires own infrastructure for GDPR compliance High hardware requirements (1M context especially memory-intensive)
Current
GLM-5.1
April 2026
State-of-the-art coding: 58.4% SWE-Bench Pro (beat GPT-5.4 and Claude Opus 4.6) Long-horizon agentic tasks (up to 8h autonomous work across thousands of tool calls) Open source under MIT licence (unrestricted commercial use) 200k token context window, 131k token output 744B parameters (40B active) MoE architecture
Surpassed by GLM-5.2 in coding, context length and agentic tasks No native EU cloud integration Requires own infrastructure for GDPR compliance
Deprecated
GLM-5
February 2026
744B parameters (40B active) with MoE architecture 200k token context window Open source (MIT licence) Strong coding and reasoning performance Agentic AI capabilities
Surpassed by GLM-5.1 and GLM-5.2 in coding and agentic tasks No native EU cloud integration Requires own infrastructure for GDPR compliance
Deprecated

Use Cases

Typical applications for this model

Agentic AI workflows
Software engineering & coding
Research & science
Document analysis
Complex reasoning tasks
Long-form content creation
Multi-step task planning

Technical Details

API, features and capabilities

API & Availability
Availability Public
Latency (TTFT) ~3ms
Throughput 30-76 Tokens/Sec
Features & Capabilities
Tool Use Function Calling Structured Output Reasoning Mode Web Browsing File Upload
Training & Knowledge
Knowledge Cutoff Late 2025
Fine-Tuning Available (Full Fine-tuning, LoRA)
Language Support
Best Quality English, Chinese
Supported Multilingual
Best quality in English and Chinese

Hosting & Compliance

GDPR-compliant hosting options and licensing

GDPR-Compliant Hosting Options
Self-Hosted
EU (your choice)
Deployment on own infrastructure in EU data centres possible
License & Hosting
License MIT
Security Filters Configurable
On-Premise

Benchmarks

Performance comparison with standardized tests

Intelligence Index v4.1 (GLM-5.2)
51 2026-06
SWE-Bench Pro (GLM-5.2)
62.1 2026-06
Terminal-Bench 2.1 (GLM-5.2)
81 2026-06
SWE-Bench Pro (GLM-5.1)
58.4 2026-04
Terminal-Bench 2.0 (GLM-5.1)
63.5 2026-04
BrowseComp (GLM-5.1)
68 2026-04
MMLU
85 2026-02
SWE-bench Verified
77.8 2026-02
AIME 2025
84 2026-02
GSM8k
97 2026-02
GPQA
68.2 2026-02

As an AI consultancy from Rosenheim, we support companies in the DACH region (Germany, Austria, Switzerland) with GDPR-compliant integration of open-source models such as GLM-5.2. Through self-hosting in EU data centres, you can deploy GLM-5.2 in compliance with data protection regulations.

GLM-5.2 – The Strongest Open Model

GLM-5.2 (June 13, 2026) is Zhipu AI’s (Z.ai) new flagship and currently the most capable openly available open-weight model on the market. On the Artificial Analysis Intelligence Index v4.1, GLM-5.2 scores 51, placing it ahead of MiniMax-M3 (44), DeepSeek V4 Pro (44) and Kimi K2.6 (43). On several long-horizon coding benchmarks GLM-5.2 even beats GPT-5.5 – at roughly one sixth of the cost. Like its predecessors, the model remains fully open source under the MIT licence with no regional usage restrictions.

Open-Source Powerhouse

MIT Licence

GLM-5.2 (June 2026) is fully open source and available under the MIT licence:

  • Free commercial use without licensing fees
  • Modification and customisation possible
  • Deployment on your own infrastructure
  • Full control over data and model
  • No vendor lock-in

Mixture-of-Experts Architecture

With 744 billion parameters (40 billion active), GLM-5.2 offers one of the most powerful open-source architectures:

  • Efficient resource utilisation through sparse activation
  • Comparable to or better than proprietary frontier models
  • IndexShare – reuses the same indexer across every four sparse attention layers, cutting per-token compute by 2.9x at maximum context
  • Two reasoning modes: High (fast, for routine tasks) and Max (deeper for complex coding and architecture)
  • Optimised for complex reasoning and coding tasks

Agentic AI Capabilities

Autonomous Workflows

GLM-5.2 – like GLM-5.1 – was specifically designed for long-horizon agentic AI:

  • Autonomous task execution across thousands of tool calls
  • Multi-step planning and execution
  • Native tool-calling and function-calling
  • Web browsing integration
  • Z.ai describes this shift as “from vibe coding to agentic engineering”

Coding Excellence

State-of-the-art performance in software engineering benchmarks:

  • 62.1% on SWE-Bench Pro (GLM-5.2, a clear jump from 58.4% with GLM-5.1)
  • 81.0% on Terminal-Bench 2.1
  • Second only to Claude Opus 4.8 across three multi-hour coding benchmarks (FrontierSWE, PostTrainBench, SWE-Marathon)
  • Beats GPT-5.5 on several long-horizon coding benchmarks at roughly one sixth of the cost
  • Strong code generation, debugging, code reviews and refactoring

Context Window & Performance

1 Million Token Context

GLM-5.2 offers one of the largest context windows among open-source models:

  • 1M token context window, up to 131k token output
  • Processing entire codebases
  • Analysis of extensive document collections
  • Long conversations without context loss
  • Ideal for research and enterprise applications

Benchmark Results

GLM-5.2 outperforms many commercial frontier models:

  • Intelligence Index v4.1: 51 (#1 among open models)
  • SWE-Bench Pro: 62.1% (state-of-the-art among open models)
  • Terminal-Bench 2.1: 81.0%
  • For comparison (GLM-5.1): SWE-Bench Pro 58.4%, Terminal-Bench 2.0 63.5%, BrowseComp 68.0%, MMLU 85%, GSM8k 97%, AIME 2025 84%, GPQA 68.2%

EU Deployment Options

Self-Hosting in EU Data Centres

For GDPR compliance, we offer support with:

  • Deployment on AWS EU regions (Frankfurt, Ireland)
  • Azure EU regions (West Europe, Germany)
  • Google Cloud EU regions (Frankfurt, Belgium)
  • Private cloud or on-premise solutions

Hardware Requirements

GLM-5.2 is available in various quantisations:

  • BF16: Full precision (8× NVIDIA H100 or Ascend NPUs)
  • FP8: Production deployment (reduced VRAM requirements)
  • INT4/INT8: Efficient quantisation for limited resources

Alternative API Access

For rapid prototyping without your own infrastructure:

  • Z.ai / Zhipu AI API (open.bigmodel.cn): Official API access
  • Third-party providers: OpenRouter, Together.ai, Lambda Cloud and others
  • Costs: Approx. $0.80/1M input tokens, $2.56/1M output tokens

Note: Direct API usage occurs via Chinese or US infrastructure and may not be GDPR-compliant without a data processing agreement.

Integration & Support

Our Recommendation

Self-hosting in EU data centres is the best option for GDPR compliance. We support you with:

  • Infrastructure planning and hardware sizing
  • Deployment and optimisation
  • Integration into existing systems
  • Compliant usage
  • Fine-tuning for specific use cases

For companies seeking a leading open-source model with strong agentic and coding capabilities, GLM-5.2 is an excellent choice – provided the appropriate infrastructure is available. As the strongest openly available open-weight model, with a 1 million token context window and an MIT licence, GLM-5.2 delivers frontier performance without vendor lock-in.

Cost estimation for this model

For up-to-date token pricing, model variants and EU availability, see our sister project ai-prices.eu. It helps you compare and estimate the operational cost of leading AI models for your specific use case.

Compare prices on ai-prices.eu

ai-prices.eu is a project by innFactory AI Consulting GmbH and provides transparent cost estimates for leading AI models.

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