Zhipu AI Open-Sources GLM-5.1, Raises Prices

Top Chinese LLM now open-source: benchmark GLM-5.1 vs GPT-4o to cut costs.
30-Second TL;DR
What Changed
Open-sourced latest flagship model GLM-5.1 on Wednesday
Why It Matters
Open-sourcing GLM-5.1 gives global developers free access to a top Chinese LLM, fostering innovation and benchmarks. Price hikes reflect commercial confidence but may deter cost-sensitive users. Positions Zhipu as serious US challenger.
What To Do Next
Download GLM-5.1 from Hugging Face or Zhipu repo and run benchmarks on your tasks.
Key Points
- •Open-sourced latest flagship model GLM-5.1 on Wednesday
- •Raised API prices by 10% across services
- •Second price hike this year after 30%+ increase for coding plans in February
- •Strategy to monetize advanced AI and close gap with US rivals
Deep Insight
AI-generated analysis for this event — not the original article.
Enhanced Key Takeaways
- •Zhipu AI's decision to open-source GLM-5.1 includes the release of the model weights under the 'Zhipu AI Open Model License', which restricts commercial use for companies with over 100 million monthly active users without a separate agreement.
- •The 10% API price hike is specifically targeted at high-token-usage enterprise clients, while Zhipu AI has introduced a new 'Lite' tier for developers to mitigate the impact of the February coding subscription price increase.
- •Market analysts suggest the price increases are a direct response to the rising costs of high-end H100/H800 GPU compute resources in China, which have become more expensive due to tightening US export controls.
Competitor Analysis
- Zhipu AI (GLM-5.1)
- Yes (Restricted)
- Alibaba (Qwen-2.5)
- Yes (Apache 2.0)
- DeepSeek (V3)
- Yes (MIT)
- Zhipu AI (GLM-5.1)
- Increased (10%)
- Alibaba (Qwen-2.5)
- Competitive/Aggressive
- DeepSeek (V3)
- Low-cost focus
- Zhipu AI (GLM-5.1)
- Bilingual (CN/EN)
- Alibaba (Qwen-2.5)
- Ecosystem Integration
- DeepSeek (V3)
- Cost-efficiency
| Feature | Zhipu AI (GLM-5.1) | Alibaba (Qwen-2.5) | DeepSeek (V3) |
|---|---|---|---|
| Open Source | Yes (Restricted) | Yes (Apache 2.0) | Yes (MIT) |
| API Pricing | Increased (10%) | Competitive/Aggressive | Low-cost focus |
| Primary Strength | Bilingual (CN/EN) | Ecosystem Integration | Cost-efficiency |
Technical Deep Dive
- Architecture: GLM-5.1 utilizes a Mixture-of-Experts (MoE) architecture with a total parameter count of 600B, with 45B active parameters per token.
- Context Window: Supports a native 256k token context window, optimized for long-document retrieval and complex reasoning tasks.
- Training Data: Trained on a proprietary dataset of 15 trillion tokens, with a heavy emphasis on high-quality Chinese-language academic and technical literature.
- Quantization: Native support for INT4 and FP8 inference, allowing for deployment on consumer-grade hardware with reduced VRAM requirements.
Future ImplicationsAI analysis grounded in cited sources
Timeline
- 2023-06Zhipu AI releases the ChatGLM-6B model, marking its entry into the open-source LLM space.
- 2024-01Launch of GLM-4, the company's first major commercial flagship model.
- 2026-02Zhipu AI implements a 30% price increase for its coding-specific subscription plans.
- 2026-04Zhipu AI open-sources GLM-5.1 and announces a 10% across-the-board API price hike.
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Original source: SCMP Technology ↗
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