GLM 5.2
Z.ai's open-weights MIT-licensed flagship for long-horizon coding and reasoning, with a 524K context, native tool use, and permissionless self-hosting.
Get API keyWhat is GLM 5.2?
GLM 5.2 is Z.ai's open-weights flagship text model, released in June 2026 under the MIT license. It handles long-horizon engineering tasks across a 524K-token context, offers advanced coding with flexible reasoning modes, and supports function calling, web search, and structured output.
Use GLM 5.2 privately on Venice
On Venice, GLM 5.2 runs inside a trusted execution environment with end-to-end encryption and zero retention — your prompts are never stored or profiled. You get the same open-weights MIT-licensed model with native tool use, reasoning, and web search, but with full data sovereignty and no Big-Tech surveillance.
What can GLM 5.2 do?
- •Open-weights MIT license enables permissionless self-hosting, modification, and audit without regional restrictions.
- •Built for long-horizon tasks — stable performance across 524K+ tokens of context for project-scale engineering and codebase understanding.
- •Strong coding and reasoning capabilities with multiple thinking modes, plus competitive scores on SWE-bench Pro and Terminal-Bench.
- •Native tool use, web search, and function calling for agentic workflows and structured JSON output.
- •Runs inside Venice's TEE with end-to-end encryption and zero retention — your prompts are not stored or used for training.
- •Not uncensored — safety filters apply, so it will decline certain requests.
- •Self-hosting requires massive compute infrastructure given the reported ~753B parameter scale.
- •Output pricing is higher than budget open rivals such as DeepSeek V3.2 or Kimi K2.6.
- •Closed-weight flagships like Claude Opus 4.8 still lead on the hardest frontier coding tasks.
GLM 5.2 capabilities
- Tool use / function calling
- Vision (image input)
- Reasoning
- Web search
- Code-optimized
- Structured output (JSON schema)
- Audio input
- Video input
- Multiple image inputs
- Log probabilities
How to use GLM 5.2 via API
Venice exposes an OpenAI-compatible API. Swap your base URL and call e2ee-glm-5-2-p.
curl https://api.venice.ai/api/v1/chat/completions \
-H "Authorization: Bearer $VENICE_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "e2ee-glm-5-2-p",
"messages": [{ "role": "user", "content": "Explain quantum tunneling simply." }]
}'Specifications
Pricing
Billed per token on Venice: $1.75 per 1M input tokens and $5.75 per 1M output tokens.
New Venice accounts include a free daily allowance and 500 welcome credits — no credit card required.
GLM 5.2 vs alternatives
| Model | Context window | Open weights | Price (Venice) | Best for |
|---|---|---|---|---|
| GLM 5.2 | 524K tokens | Yes | $1.75 in · $5.75 out / 1M | Long-horizon coding & reasoning |
| Claude Opus 4.8 | 1M tokens | No | $6 in · $30 out / 1M | Frontier coding & safety |
| DeepSeek V3.2 | 160K tokens | Yes | $0.33 in · $0.48 out / 1M | Efficiency & value |
| Kimi K2.6 | 256K tokens | Yes | $0.75 in · $3.50 out / 1M | Agentic workflows |
| GLM 5.1 | 200K tokens | Yes | $1.10 in · $4.15 out / 1M | Balanced open-source tasks |
Z.ai's latest open flagship with the longest context in the GLM family and native tool support.
What is GLM 5.2 good for?
- •Project-level codebase understanding and long-horizon software engineering across entire repositories.
- •Agentic automation with tool calling, web search, and external MCP integrations.
- •Structured data extraction and JSON output from large documents or long conversations.
- •Local or private deployment where data sovereignty and zero retention are mandatory.
Prompting tips
- •Use the highest thinking-effort mode for complex architecture decisions; switch to lower latency for quick code reviews.
- •Feed entire project directories into context — the model retains module boundaries and API contracts across long sessions.
- •Leverage function calling to connect GLM-5.2 to external MCP tools and data sources for agentic workflows.
- •For long documents, rely on the intelligent caching mechanism to maintain coherence across multi-turn conversations.
Version history
Predecessor with 200K context and strong open-weight performance.
CurrentCurrent — 524K context, IndexShare, MIT license, tool use.
Frequently asked questions
GLM 5.2 is Z.ai's open-weights flagship text model, released in June 2026 under the MIT license. It handles long-horizon engineering tasks across a 524K-token context, offers advanced coding with flexible reasoning modes, and supports function calling, web search, and structured output.
Venice bills GLM 5.2 at $1.75 per 1M input tokens and $5.75 per 1M output tokens. There is no subscription required; you pay per token with credits.
Yes. GLM 5.2 is released under the MIT license with open weights, meaning you can download, self-host, and modify it without regional restrictions.
Yes. GLM 5.2 supports function calling, reasoning, web search, and structured JSON output, making it well-suited for agentic workflows and external integrations.
No. GLM 5.2 is not uncensored and includes safety filters. For fully uncensored inference, choose a model explicitly labeled as uncensored on Venice.
Choose GLM 5.2 for open-weights flexibility, long-context project work, and lower cost. Choose Claude Opus 4.8 if you need the absolute frontier on hardest coding tasks and do not mind a closed, premium-priced model.
GLM 5.2 supports up to 524,288 tokens of context and up to 32,768 tokens of output in a single generation.
Venice runs GLM 5.2 in a private TEE with end-to-end encryption and zero retention. Your prompts are not stored, profiled, or used for training.
Related models
Run GLM 5.2 privately.
No prompt logging. No data used for training. Free to start — no credit card.
