Z.ai: GLM 4.7
Analysis Summary
GLM 4.7 is Z.ai's tool-oriented model with a 204.8K context window, function calling, and broad support for coding and agentic workflows. Its available evaluations show strong coding, mathematical reasoning, instruction following, and tool interaction, while its general intelligence index is more modest than its specialist results. Pricing is $0.40 per million input tokens and $1.75 per million output tokens.
That profile makes it a strong candidate for coding assistants, structured SEO production, browser or API tool workflows, and long-document analysis. Function calling and strong tool interaction are useful for agency automation, while the context window supports substantial repositories and briefs. Use it for practical engineering and agent tasks, with human review for open-ended strategy and premium editorial work.
Assessed September 7, 2026
Editorial notes
GLM 4.7 pairs strong coding and tool-use results with a 200K context window, excellent instruction following, and function calling, although its general intelligence profile trails the newest flagship models.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
GLM 4.7 pairs strong coding and tool-use results with a 200K context window, excellent instruction following, and function calling, although its general intelligence profile trails the newest flagship models.
Benchmark scores
Magenta = intelligence · Ink = technical/agentic · Cyan = content & long-context · Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
22.2 Intelligence Index·45.3 Coding Index·26.2 Agentic Index·95 Math Index
How Z.ai: GLM 4.7 compares
Z.ai: GLM 4.7 ranks #121 of 437 AI models we track for overall intelligence, #84 of 209 for coding, #66 of 191 for agentic tasks. Its 205K-token context window is larger than 55% of the models we list. At $0.40 per million input tokens it is cheaper than 42% 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 | $0.40 | $0.000400 |
| Output | $1.75 | $0.001750 |
What would Z.ai: GLM 4.7 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 772 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Z.ai: GLM 4.7 for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout Z.ai: GLM 4.7
GLM-4.7 is Z.ai’s latest flagship model, featuring upgrades in two key areas: enhanced programming capabilities and more stable multi-step reasoning/execution. It demonstrates significant improvements in executing complex agent tasks while..
Frequently asked questions about Z.ai: GLM 4.7
How much does Z.ai: GLM 4.7 cost?
Z.ai: GLM 4.7 costs $0.40 per million input tokens and $1.75 per million output tokens.
What is the context window of Z.ai: GLM 4.7?
Z.ai: GLM 4.7 has a context window of 204,800 tokens (205K).
Is Z.ai: GLM 4.7 good for coding?
On our coding benchmark index, Z.ai: GLM 4.7 ranks #84 of 209 models, placing it in the broader range of the field for code generation and debugging.
What can Z.ai: GLM 4.7 do?
Z.ai: GLM 4.7 supports tool use and function calling.
Who created Z.ai: GLM 4.7?
Z.ai: GLM 4.7 is developed by Z.ai and was released on December 22, 2025.