GLM 4.6V

by Z.ai

Released 69 days after GLM 4.6 Β· All Z.ai releases

GLM 4.6V is Zhipu's next-generation vision-language model on a 106-billion-parameter MoE architecture (9-billion-parameter Flash variant also available) tuned for multimodal reasoning at scale. With a 128K context window, it adds native multimodal function calling, letting images, screenshots, and document pages pass directly as tool parameters without intermediate text conversion, which simplifies agentic integration. The model targets visual document understanding, chart parsing, GUI automation, and spatial reasoning, with improved grounding and long-document comprehension over GLM-4.5V. Its 128K context can hold roughly 150 pages of dense documents, around 200 slides, or about an hour of video in a single pass, and it handles images, video, and mixed-media documents together. Released December 2025 under an MIT license, GLM 4.6V suits developers building document intelligence platforms, web automation, accessibility tools, and vision-driven agents that need both extended context and tool-driven reasoning. The 9B GLM-4.6V-Flash variant offers a lighter option for cost-sensitive deployment.

Key info

Input
Output
Features
Context window
131K
Max output
33K
Input price
$0.30 /1M
Output price
$0.90 /1M
Released
  • US residency available
  • Zero data retention on pay-as-you-go
  • No training by default
  • no-KYC deposit available

Available routes

GLM 4.6V runs on 1 route through the qynio gateway. Compare residency, zero retention, and training posture at a glance β€” full data-handling detail per route below.

ProviderRegionZero data retentionTrainingInputOutput
USZero data retentionNo$0.30$0.90

Uptime and availability

GLM 4.6V runs on a single route through the qynio gateway today, so its availability is that provider's availability.

100%route uptime, last 30 days
Single route, no failover target within this model.

Name a second model in the same request and the gateway tries it on retriable errors, so a busy hour never has to reach your users. .

Measured over the last 30 days from each provider's official status feed via StatusGator. Refreshed hourly. See uptime for every provider qynio monitors.

Data handling per route

Each route hosting GLM 4.6V has its own privacy posture, residency, and no-KYC terms. Postures are maintained by qynio with a last-verification timestamp.

Novita β€” United StatesπŸ‡ΊπŸ‡Έ

Zero data retention is on by default on Pay-as-you-go β€” no action required. No training on customer data. US; wallets; deposit available.

Zero data retention
On by default on Pay-as-you-go. Derived from the logging and moderation facts.
Training
No training on customer data.
Logging
None
Moderation
Not established
Caching
Not established
Subprocessor access
Not established
no-KYC deposit
deposit available
Transfer mechanism
wallets

Benchmarks

Independent benchmark scores β€” composite indices for reasoning, coding, and math, plus individual eval scores where available.

Intelligence Index10.9
Math Index26.3
Reasoning & knowledge
MMLU-Pro
75%
GPQA Diamond
57%
Humanity's Last Exam
4%
Long-context reasoning
14%
Coding
LiveCodeBench
41%
SciCode
27%
Agentic & tool use
Terminal-Bench Hard
3%
τ²-Bench Telecom
31%
Math & instruction following
AIME 2025
26%
IFBench
28%

Get started

Call GLM 4.6V through the qynio gateway with one API key. Let your coding agent set it up, or call it directly β€” qynio is drop-in compatible with the OpenAI, Anthropic, and Google AI SDKs.

Set it up with your agent

Copy this and paste it into a coding agent like Claude Code, Cursor or Codex and it'll wire up qynio for you.

Or call it directly

import OpenAI from "openai";
const client = new OpenAI({
apiKey: process.env.QYN_API_KEY,
baseURL: "https://api.qyn.io/v3/compat",
});
const completion = await client.chat.completions.create({
model: "novita/zai-org/glm-4.6v",
messages: [{ role: "user", content: "Hello" }],
});
console.log(completion.choices[0].message.content);

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Side-by-side on privacy, crypto rails, pricing, and benchmarks.

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