GLM 4.6

by Z.ai

Released 50 days after GLM 4.5V · All Z.ai releases

GLM 4.6 is Zhipu's iterative advance over GLM-4.5, with 357 billion total parameters (32 billion active) in a Mixture-of-Experts configuration tuned for extended reasoning and agent workflows. Its 200K context window, with up to 128K output, supports long documents, multi-turn technical conversations, and complex tool-driven agentic systems. Released September 2025, GLM 4.6 improves coding performance, function calling, and search-based agent integration over GLM-4.5, making it well suited to retrieval-augmented generation, support automation, and information synthesis. It keeps the bilingual training and hybrid reasoning design of the earlier release, balancing depth and speed. Available as open weights under an MIT license, GLM 4.6 targets developers building production agents that need deeper context for sophisticated multi-step reasoning, tool coordination, and long-horizon planning, including code review automation, document-heavy question answering, and multi-document reasoning.

Key info

Input
Output
Features
Context window
203K
Max output
203K
Input price
$0.50 /1M
Output price
$2.00 /1M
Released
  • US residency available
  • Zero data retention on pay-as-you-go
  • No training by default
  • GDPR DPA available

Available routes

GLM 4.6 runs on 2 different routes through the Opper gateway. Compare residency, ZDR, and training posture at a glance — full data-handling detail per route below.

ProviderRegionZero data retentionTrainingInputOutput
USZero data retentionNo$0.50$2.00
USZero data retentionNo$0.55$2.20

Uptime and availability

GLM 4.6 runs on 2 independently monitored routes through the Opper gateway. A direct integration leaves you on one of them, the gateway serves whichever is healthy.

100%effective uptime, last 30 days
Averaged across these routes on their own, a single provider reached 100% over the same window.
Daily status through the gateway, which serves each request from whichever route is healthy.
2 monitored providers serve GLM 4.6.

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

Data handling per route

Each route hosting GLM 4.6 has its own privacy posture, residency, and GDPR terms. Postures are maintained by Opper with a last-verification timestamp.

DeepInfra United States🇺🇸

Zero data retention is on by default on Pay-as-you-go — no action required. No training on customer data. US; unknown; DPA available.

Zero data retention
On by default on Pay-as-you-go.
Training
No training on customer data.
Logging
None
Third-party access
None disclosed
GDPR DPA
DPA available
Transfer mechanism
unknown

Novita United States🇺🇸

Zero data retention is on by default on Pay-as-you-go — no action required. No training on customer data. US; SCCs; DPA available.

Zero data retention
On by default on Pay-as-you-go.
Training
No training on customer data.
Logging
None
Third-party access
Provider may share with subprocessors / partners
GDPR DPA
DPA available
Transfer mechanism
SCCs

Benchmarks

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

Intelligence Index23.4
Math Index44.3
Reasoning & knowledge
MMLU-Pro
78%
GPQA Diamond
63%
Humanity's Last Exam
6%
Long-context reasoning
28%
Coding
LiveCodeBench
56%
SciCode
33%
Agentic & tool use
Terminal-Bench Hard
29%
τ²-Bench Telecom
77%
Math & instruction following
AIME 2025
44%
IFBench
37%

Get started

Call GLM 4.6 through the Opper gateway with one API key. Let your coding agent set it up, or call it directly — Opper 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 Opper for you.

Or call it directly

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

Compare GLM 4.6 with…

Side-by-side on privacy, EU hosting, pricing, and benchmarks.

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