Analysis Summary
Z.ai's GLM 5.2 combines frontier-level reasoning with exceptional coding and agentic benchmark results, backed by a 1M token context window and strong instruction-following. Its performance profile competes directly with the leading flagship models on the market.
For businesses, this makes it a strong candidate for autonomous coding agents, long-document analysis, and complex multi-step automation where both reasoning depth and reliability matter. Tool use and function calling round out its agentic capability.
Pricing is competitive for the performance on offer, making it a cost-effective choice for teams running demanding coding or agentic workloads without paying premium flagship rates.
Assessed July 29, 2026
Editorial notes
GLM 5.2 delivers frontier-level reasoning with exceptional coding and agentic performance, a 1M token context, and aggressive pricing.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
GLM 5.2 delivers frontier-level reasoning with exceptional coding and agentic performance, a 1M token context, and aggressive pricing.
Benchmark scores
Magenta = intelligence · Ink = technical/agentic · Cyan = content & long-context · Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
51.1 Intelligence Index·68.8 Coding Index·74.9 Agentic Index
How Z.ai: GLM 5.2 compares
Z.ai: GLM 5.2 ranks #9 of 395 AI models we track for overall intelligence, #13 of 160 for coding, #4 of 302 for agentic tasks. Its 1M-token context window is larger than 96% of the models we list. At $0.69 per million input tokens it is cheaper than 32% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on content. The pulled-in value corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side →Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.69 | $0.000692 |
| Output | $2.17 | $0.002174 |
What would Z.ai: GLM 5.2 cost your business?
Pick the job that looks most like yours, then fine-tune with the sliders. Estimates update live.
A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 650 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Z.ai: GLM 5.2 for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout Z.ai: GLM 5.2
GLM 5.2 is a large-scale reasoning model from Z.ai. It supports text input and output with a 1M-token context window, and is suited for long-horizon agent workflows, project-level software engineering,..
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<a href="https://designforonline.com/ai-models/z-ai-glm-5-2/"><img src="https://designforonline.com/?aiml_badge=z-ai-glm-5-2&theme=dark" alt="Z.ai: GLM 5.2, ranked #9 on the Design for Online AI Leaderboard" width="400" height="76"></a>
<a href="https://designforonline.com/ai-models/z-ai-glm-5-2/"><img src="https://designforonline.com/?aiml_badge=z-ai-glm-5-2&theme=light" alt="Z.ai: GLM 5.2, ranked #9 on the Design for Online AI Leaderboard" width="400" height="76"></a>
Frequently asked questions about Z.ai: GLM 5.2
How much does Z.ai: GLM 5.2 cost?
Z.ai: GLM 5.2 costs $0.69 per million input tokens and $2.17 per million output tokens.
What is the context window of Z.ai: GLM 5.2?
Z.ai: GLM 5.2 has a context window of 1,048,576 tokens (1M).
Is Z.ai: GLM 5.2 good for coding?
On our coding benchmark index, Z.ai: GLM 5.2 ranks #13 of 160 models, placing it in the top quartile of the field for code generation and debugging.
What can Z.ai: GLM 5.2 do?
Z.ai: GLM 5.2 supports tool use and function calling.
Who created Z.ai: GLM 5.2?
Z.ai: GLM 5.2 is developed by Z.ai and was released on June 16, 2026.
Data sourced from the OpenRouter API, Artificial Analysis, the Hugging Face Open LLM Leaderboard and our own internal testing. Scores are editorially curated by our team.
Last updated: July 29, 2026 8:38 pm