Atlas / Models / Z Ai / Z.ai: GLM 4.6 (exacto)

Z.ai: GLM 4.6 (exacto)✓ Catalog verified

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.

Input price
$0.44 /1M
Output price
$1.76 /1M
Context
205K
Modalities
text
Released
Sep 30, 2025
Tool calling
✓ Yes
Atlas signal
90/100
01

Overview

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.

Access: available through the official Z Ai API. Context window: 205K.

Pricing and metadata from the ModelsAtlas catalog.Last refreshed Aug 5, 2026
02

Specifications

API identifierz-ai/glm-4.6:exacto
ProviderZ Ai
Model typeText LLM
Context window205K catalog
Input modalitiestext
Output modalitiestext
ReleasedSep 30, 2025
ModeratedNo
Architecture modalitytext->text
Supported parameters
frequency_penaltyinclude_reasoningmax_tokenspresence_penaltyreasoningrepetition_penaltyresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_ktop_p
Source: provider documentation + catalog feedMethodology →

API defaults

Default parameters
{
  "top_p": null,
  "temperature": 0.6,
  "frequency_penalty": null
}
03

Pricing

Live pricing components for z-ai/glm-4.6:exacto as published in the catalog.

$0.44
Input /1M
$1.76
Output /1M
Per request
Per image
Pricing componentRaw unit priceNormalizedUnit
Prompt tokens$4.4e-7$0.44 / 1MPer input token
Completion tokens$0.00000176$1.76 / 1MPer output token
Request feeN/AN/APer request
Image feeN/AN/APer image unit
Web search feeN/AN/APer search request
Source: catalog pricing feedCompare all pricing →Cheapest models →
04

Cost calculator

Estimate monthly spend from your own token volumes.

Scale / Volume

Estimated Total Cost

$0.57Calculated from current list pricing in the ModelsAtlas catalog.
05

Capabilities

CapabilityStatusWhat it means
Visual UnderstandingNot advertisedImage and document analysis support
Audio ProcessingNot advertisedSpeech and voice aligned flows
Tool Calling✓ SupportedSupports tools / function calling
Self-HostingNot advertisedDeploy outside managed APIs
Derived from catalog capability tags and supported parameters
06

Capability signals

Directional signals derived from model metadata and capability tags — not official benchmark submissions.

Z.ai: GLM 4.6 (exacto)
MMLU Signal (Reasoning)
97signal
Coding Signal (HumanEval proxy)
97signal
Math Signal (GSM8K proxy)
83signal
Science Signal (GPQA proxy)
83signal
Estimated from metadata — not an official benchmark runAll benchmarks →Methodology →
07

Quick start

Call Z.ai: GLM 4.6 (exacto) through an OpenAI-compatible client.

from openai import OpenAI

client = OpenAI(
    base_url="https://openrouter.ai/api/v1",
    api_key="YOUR_API_KEY"
)

response = client.chat.completions.create(
    model="z-ai/glm-4.6:exacto",
    messages=[{"role": "user", "content": "Explain quantum physics."}]
)

print(response.choices[0].message.content)
08

Alternatives

Closest models by context window from a different provider.

09

Sources & attribution

Pricing and metadata are maintained in the ModelsAtlas catalog.

Capability bars use metadata tags — directional estimates onlyHow we source and verify data →
10

Frequently asked questions

How much does Z.ai: GLM 4.6 (exacto) cost?

$0.44 per 1M input tokens and $1.76 per 1M output tokens on the official Z Ai API.

What is the context window of Z.ai: GLM 4.6 (exacto)?

Z.ai: GLM 4.6 (exacto) supports up to 205K tokens of context.

Does Z.ai: GLM 4.6 (exacto) support tool / function calling?

Yes, Z.ai: GLM 4.6 (exacto) supports tool / function calling — you can register tools and the model will emit structured tool calls.

How do I access Z.ai: GLM 4.6 (exacto)?

Use the official Z Ai API with the model id `z-ai/glm-4.6:exacto`. See the Quick start section above for code examples.