Z.ai: GLM 4.6
Analysis Summary
GLM 4.6 is Z.ai's latest general-purpose model, with a coding index of 45.8 and agentic index of 47.7 that place it in the upper-mid tier for technical tasks. Tool use and function calling are supported, and its LiveCodeBench score of 0.695 and tau2 of 0.705 indicate reliable performance on coding and multi-step agentic tasks. The 202K context window is adequate for most business document and codebase workflows.
For businesses, GLM 4.6 suits coding assistance, automated tool-calling pipelines, and structured data workflows. Its intelligence index of 28.7 is good but not frontier-level, so it is better suited to well-defined tasks than open-ended complex reasoning. Instruction following (ifbench 0.43) is moderate.
At $0.43 input / $1.74 output per 1M tokens, it offers strong technical capability at a competitive price. Teams needing a reliable coding and agentic model without frontier pricing will find it a practical option, noting that adoption and support infrastructure may be less mature than major providers.
Assessed July 10, 2026
Editorial notes
GLM 4.6 from Z.ai combines a strong coding index of 45.8 with an agentic index of 47.7, tool use, and competitive pricing, making it a capable mid-tier model for technical workflows.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
GLM 4.6 from Z.ai combines a strong coding index of 45.8 with an agentic index of 47.7, tool use, and competitive pricing, making it a capable mid-tier model for technical workflows.
Benchmark scores
Magenta = intelligence Ā· Ink = technical/agentic Ā· Cyan = content & long-context Ā· Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
28.7 Intelligence IndexĀ·45.8 Coding IndexĀ·47.7 Agentic IndexĀ·86 Math Index
How Z.ai: GLM 4.6 compares
Z.ai: GLM 4.6 ranks #100 of 393 AI models we track for overall intelligence, #45 of 157 for coding, #87 of 300 for agentic tasks. Its 203K-token context window is larger than 64% of the models we list. At $0.50 per million input tokens it is cheaper than 37% of comparable models.
Dark bar = input Ā· light bar = output, scaled to the priciest peer.
1M tokens ā 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on value. 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 āPricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.50 | $0.000500 |
| Output | $2.00 | $0.002000 |
What would Z.ai: GLM 4.6 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 612 models ā Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Z.ai: GLM 4.6 for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout Z.ai: GLM 4.6
Compared with GLM-4.5, this generation brings several key improvements: Longer context window: The context window has been expanded from 128K to 200K tokens, enabling the model to handle more complex..
Frequently asked questions about Z.ai: GLM 4.6
How much does Z.ai: GLM 4.6 cost?
Z.ai: GLM 4.6 costs $0.50 per million input tokens and $2.00 per million output tokens.
What is the context window of Z.ai: GLM 4.6?
Z.ai: GLM 4.6 has a context window of 202,752 tokens (203K).
Is Z.ai: GLM 4.6 good for coding?
On our coding benchmark index, Z.ai: GLM 4.6 ranks #45 of 157 models, placing it in the broader range of the field for code generation and debugging.
What can Z.ai: GLM 4.6 do?
Z.ai: GLM 4.6 supports tool use and function calling.
Who created Z.ai: GLM 4.6?
Z.ai: GLM 4.6 is developed by Z.ai and was released on September 30, 2025.
