GLM-5.2 surfaced in benchmarks tracked by Artificial Analysis and flagged on Hacker News with 35 points and 5 comments. The model posts strong results in quality index while maintaining competitive pricing and latency.
Model: GLM-5.2 | Quality Index: 68 | Speed: 38 tokens/s
Price: $0.35 / M tokens | Context: 128K | License: Commercial
What It Is
GLM-5.2 is a large language model from Zhipu AI evaluated on the Artificial Analysis platform. It supports long context windows and delivers balanced output across reasoning, coding, and multilingual tasks.
Benchmarks and Key Numbers
The model records a quality index of 68, placing it near several frontier-class systems. Output speed reaches 38 tokens per second with 128K context support.
| Metric | GLM-5.2 | GPT-4o | Claude 3.5 Sonnet |
|---|---|---|---|
| Quality Index | 68 | 71 | 70 |
| Speed (tokens/s) | 38 | 85 | 42 |
| Price ($/M tokens) | 0.35 | 2.50 | 3.00 |
| Context Window | 128K | 128K | 200K |
Early HN comments noted the favorable price-to-performance ratio compared with higher-cost closed models.
How to Try It
Access GLM-5.2 through the Artificial Analysis playground or Zhipu AI API endpoints. Developers can run standardized prompts directly on the benchmark site to replicate reported scores.
"API example"
Use the Zhipu AI Python SDK with your API key and specify model name glm-5.2 for inference calls.
Pros and Cons
- Strong quality index at low per-token cost
- Solid 38 tokens/s inference speed on standard hardware
- 128K context window suitable for document tasks
- Limited public fine-tuning options compared with open-weight models
- Fewer third-party integrations than OpenAI or Anthropic offerings
Alternatives and Comparisons
Direct competitors include GPT-4o and Claude 3.5 Sonnet. GLM-5.2 undercuts both on price while delivering within 5% of their quality index scores.
Who Should Use This
Teams running high-volume inference on a budget benefit most. Skip GLM-5.2 if maximum speed or extensive plugin ecosystems are required.
Bottom line: GLM-5.2 delivers near-frontier quality at roughly one-seventh the price of leading alternatives.
Developers tracking cost-efficient models should add GLM-5.2 to their evaluation shortlist for production workloads.
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