Z.ai: GLM 5.2
Analysis Summary
Z.ai GLM 5.2 is a benchmarked general-purpose model with a one-million-token context window, strong coding capability, and reliable tool-oriented interfaces. Its measured agentic performance is useful for API orchestration, structured retrieval, and multi-step workflow execution, while the context capacity suits large codebases, documentation sets, and long SEO briefs. Text-only output keeps it focused on language and software tasks.
The low listed input and output prices make GLM 5.2 particularly attractive for high-volume automation, technical content, SEO production, and secondary coding assistance. Instruction-following results are serviceable rather than exceptional, so complex client-facing copy still benefits from review. Design for Online could deploy it this week for cost-sensitive agents, code support, document analysis, and structured content pipelines, with stronger models reserved for the hardest reasoning tasks.
Assessed August 9, 2026
Editorial notes
GLM 5.2 pairs a one-million-token context with strong coding, tool use, function calling, instruction following, and very low listed pricing, making it a capable value choice for agentic and SEO workflows.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
GLM 5.2 pairs a one-million-token context with strong coding, tool use, function calling, instruction following, and very low listed pricing, making it a capable value choice for agentic and SEO workflows.
Benchmark scores
Magenta = intelligence · Ink = technical/agentic · Cyan = content & long-context · Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
52.6 Intelligence Index·68.8 Coding Index·45.7 Agentic Index
How Z.ai: GLM 5.2 compares
Z.ai: GLM 5.2 ranks #22 of 420 AI models we track for overall intelligence, #27 of 193 for coding, #30 of 175 for agentic tasks. Its 1M-token context window is larger than 95% of the models we list. At $0.53 per million input tokens it is cheaper than 37% 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 value. The pulled-in technical 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 | $0.53 | $0.000531 |
| Output | $1.67 | $0.001668 |
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 688 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,..
Embed this ranking
Frequently asked questions about Z.ai: GLM 5.2
How much does Z.ai: GLM 5.2 cost?
Z.ai: GLM 5.2 costs $0.53 per million input tokens and $1.67 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 #27 of 193 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.
