Z.ai: GLM 5.2
Analysis Summary
Z.ai GLM 5.2 is a high-capability model with strong measured coding, reasoning, and agentic results. Its 1M token context is suited to large codebases, long documents, and multi-stage research, while tool use, function calling, and very strong tool-task measurements support practical automation.
It can handle software engineering, document analysis, structured content, and agents that need to execute external actions. Instruction following and long-context results are useful for client workflows, although its general intelligence remains below the newest frontier flagships and its text-only modality limits image-aware tasks.
The pricing is competitive for the capability provided, making it a strong secondary model and a credible primary choice for many engineering and automation workloads. Use a more capable flagship when maximum reasoning quality is essential.
Assessed September 7, 2026
Editorial notes
GLM 5.2 combines strong coding, long-context reasoning, reliable tool use, and a 1M token context at competitive pricing, making it a versatile option for engineering and agentic workflows.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
GLM 5.2 combines strong coding, long-context reasoning, reliable tool use, and a 1M token context at competitive pricing, making it a versatile option for engineering and agentic workflows.
Benchmark scores
Magenta = intelligence · Ink = technical/agentic · Cyan = content & long-context · Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
38.6 Intelligence Index·68.8 Coding Index·39.4 Agentic Index
How Z.ai: GLM 5.2 compares
Z.ai: GLM 5.2 ranks #41 of 437 AI models we track for overall intelligence, #37 of 209 for coding, #44 of 191 for agentic tasks. Its 1M-token context window is larger than 94% of the models we list. At $0.60 per million input tokens it is cheaper than 36% 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 business fit. The pulled-in intelligence 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 | $0.60 | $0.000600 |
| Output | $2.00 | $0.002000 |
What would Z.ai: GLM 5.2 cost your business?
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A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 772 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,..
Frequently asked questions about Z.ai: GLM 5.2
How much does Z.ai: GLM 5.2 cost?
Z.ai: GLM 5.2 costs $0.60 per million input tokens and $2.00 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 #37 of 209 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.