Z.ai: GLM 4.7
Analysis Summary
GLM 4.7 is Z.ai's capable general and development model, with a 34.5 intelligence index, a 45.3 coding index, and strong supplied results for mathematics, coding, instruction following, and tool interaction. It supports function calling and offers a 204.8K context window, which is useful for repositories, detailed briefs, and multi-step operational prompts.
The model fits software engineering, structured SEO production, research assistance, and agents that need predictable tool calls. Its instruction-following and terminal-oriented results support bounded automation, while the text-only modality makes it less suitable for workflows centred on images or video. General reasoning remains below the latest flagship tier, so high-stakes decisions still warrant review.
Pricing of $0.40 per million input tokens and $1.75 per million output tokens makes it attractive for frequent technical workloads. Use it as a value-focused coding and automation specialist.
Assessed August 9, 2026
Editorial notes
GLM 4.7 combines strong coding and instruction-following results with a 204.8K context window, tool use, and very low token pricing. Its general reasoning is below flagship level, but it is well suited to engineering and structured automation.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
GLM 4.7 combines strong coding and instruction-following results with a 204.8K context window, tool use, and very low token pricing. Its general reasoning is below flagship level, but it is well suited to engineering and structured automation.
Benchmark scores
Magenta = intelligence · Ink = technical/agentic · Cyan = content & long-context · Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
34.5 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 #89 of 420 AI models we track for overall intelligence, #72 of 193 for coding, #66 of 175 for agentic tasks. Its 205K-token context window is larger than 59% of the models we list. At $0.40 per million input tokens it is cheaper than 43% 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 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 | $0.40 | $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 688 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 #72 of 193 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.
