Analysis Summary
GLM 4.6 exacto is a text-only model with tool use, function calling, and a 204K context window. Those features make it relevant to structured automation, long technical prompts, and coding-related workflows. Its pricing is accessible enough for routine requests, and the context window supports documents that exceed typical compact-model limits.
However, this exact variant has no supplied benchmark data. Results from the similarly named GLM 4.6 cannot be assumed to transfer, leaving coding quality, reasoning, instruction following, and agentic reliability unverified. Use it only in a controlled comparison against the benchmarked variant, with deterministic checks and fallback routing before allowing client-facing or autonomous production work.
Assessed September 7, 2026
Editorial notes
GLM 4.6 exacto offers tool use, function calling, and a 204K context window at accessible pricing. It has no variant-specific benchmark data, so its coding and reasoning reliability must be confirmed independently.
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DFO Verdict
GLM 4.6 exacto offers tool use, function calling, and a 204K context window at accessible pricing. It has no variant-specific benchmark data, so its coding and reasoning reliability must be confirmed independently.
How Z.ai: GLM 4.6 (exacto) compares
Its 205K-token context window is larger than 56% of the models we list. At $0.44 per million input tokens it is cheaper than 40% 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 | $0.44 | $0.000440 |
| Output | $1.76 | $0.001760 |
What would Z.ai: GLM 4.6 (exacto) 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 756 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Z.ai: GLM 4.6 (exacto) for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout Z.ai: GLM 4.6 (exacto)
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 agentic tasks.
Superior coding performance: The model achieves higher scores on code benchmarks and demonstrates better real-world performance in applications such as Claude Code、Cline、Roo Code and Kilo Code, including improvements in generating visually polished front-end pages.
Advanced reasoning: GLM-4.6 shows a clear improvement in reasoning performance and supports tool use during inference, leading to stronger overall capability.
More capable agents: GLM-4.6 exhibits stronger performance in tool using and search-based agents, and integrates more effectively within agent frameworks.
Refined writing: Better aligns with human preferences in style and readability, and performs more naturally in role-playing scenarios.
Explore Related Models
Frequently asked questions about Z.ai: GLM 4.6 (exacto)
How much does Z.ai: GLM 4.6 (exacto) cost?
Z.ai: GLM 4.6 (exacto) costs $0.44 per million input tokens and $1.76 per million output tokens.
What is the context window of Z.ai: GLM 4.6 (exacto)?
Z.ai: GLM 4.6 (exacto) has a context window of 204,800 tokens (205K).
What can Z.ai: GLM 4.6 (exacto) do?
Z.ai: GLM 4.6 (exacto) supports tool use and function calling.
Who created Z.ai: GLM 4.6 (exacto)?
Z.ai: GLM 4.6 (exacto) is developed by Z.ai and was released on September 30, 2025.
Data sourced from the OpenRouter API, Artificial Analysis, the Hugging Face Open LLM Leaderboard and our own internal testing. Scores are editorially curated by our team.
Last updated: September 7, 2026 8:38 pm