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Z.ai: GLM 5V Turbo: AI model

GLM 5V Turbo is Z.ai's first native multimodal agent foundation model, built for vision-based coding and agent-driven tasks, accepting image, video and text input. Reachable from inside Iran through Hormouz.

Context window:
202,752 tokens
Input:
$1.2/1M tokens
Output:
$4/1M tokens
Type:
text, image, video
  • Vision
  • Tools
  • Streaming
  • Long context

Thinking levels:

GLM 5V Turbo is Z.ai's first native multimodal agent foundation model, built for vision-based coding and agent-driven tasks. It natively handles image, video and text input.

It excels at long-horizon planning, complex coding and task execution, and works seamlessly with agents to complete the full "perceive → plan → execute" loop. Its roughly 200K-token context window suits long multimodal tasks. Hormouz exposes an OpenAI-compatible API. Point your base URL at Hormouz, drop in a Hormouz key, and existing OpenAI SDK code runs unchanged.

Pricing is usage-based: $1.2/M in · $4/M out. Hormouz provides stable access to the model from inside Iran, with no foreign credit card or circumvention tooling required.

GLM-5V-Turbo is Z.ai’s first native multimodal agent foundation model, built for vision-based coding and agent-driven tasks. It natively handles image, video, and text inputs, excels at long-horizon planning, complex coding,...

Quickstart

curl https://api.hormouz.net/v1/chat/completions \
  -H "Authorization: Bearer ng-YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "z-ai/glm-5v-turbo",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Specs

VendorZ.ai
TypeText, Image, Video
Context window202,752 tokens
Pricing$1.20/M in · $4.00/M out
APIChat Completions
CapabilitiesStreaming · Vision · Tools

Benchmarks

Reasoning

GPQA Diamond
Graduate-level scientific reasoning
80.9%
HLE
Humanity's Last Exam
17.1%
IFBench
Instruction-following
61.1%
AA-LCR
Long-context reasoning
70.3%
CritPt
Research-level physics reasoning
0.6%
AA Omniscience
Broad factual knowledge accuracy
29.3%
Non-Hallucination
Rate of avoiding fabricated answers
31.2%

Coding

Terminal-Bench Hard
Agentic coding & terminal use
32.6%

Agentic

τ²-Bench
Tool-use agents in dual-control scenarios
98.5%

Source: Artificial Analysis

Ranking distribution

First
56,321
Second
62,603
Third
27,105
Fourth
20,348

25833 tournaments ?

Agentic Game Dev
Top 96%
1,102Elo
Win rate: 42.6%
Agentic HTML Slides
Top 78%
1,134Elo
Win rate: 41.7%
Agentic Slides
Top 56%
1,171Elo
Win rate: 51.6%
Agentic Slides (HTML)
Top 78%
1,137Elo
Win rate: 41.8%
Agentic Slides (Python)
Top 56%
1,183Elo
Win rate: 53.9%
Android Native
Top 11%
1,267Elo
Win rate: 54.8%
Full-Stack
Top 61%
1,147Elo
Win rate: 52%
Godot Game Dev
Top 97%
957Elo
Win rate: 26.9%
HTML Slides
Top 91%
1,120Elo
Win rate: 44.6%Avg time: 324s
Mobile Apps
Top 74%
1,131Elo
Win rate: 50.4%
PPTX Slides
Top 62%
1,164Elo
Win rate: 52.1%
Python Slides
Top 62%
1,165Elo
Win rate: 51.9%Avg time: 859s
Web Apps
Top 76%
1,117Elo
Win rate: 44.7%
3D
Top 30%
1,220Elo
Win rate: 52.8%Avg time: 112s
ASCII Art
Top 74%
1,129Elo
Win rate: 43.2%Avg time: 106s
Code
Top 31%
1,235Elo
Win rate: 50.1%Avg time: 198s
Data Viz
Top 39%
1,209Elo
Win rate: 47.6%Avg time: 144s
Game Dev
Top 28%
1,231Elo
Win rate: 50.7%Avg time: 196s
SVG
Top 42%
1,151Elo
Win rate: 49.2%Avg time: 47.1s
UI Component
Top 36%
1,218Elo
Win rate: 48.4%Avg time: 158s
Website
Top 30%
1,237Elo
Win rate: 49.2%Avg time: 232s

Metrics sourced from Design Arena

Code example

cURL
curl https://api.hormouz.net/v1/chat/completions \
  -H "Authorization: Bearer ng-YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "z-ai/glm-5v-turbo",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'
Python
from openai import OpenAI
client = OpenAI(api_key="ng-YOUR_API_KEY", base_url="https://api.hormouz.net/v1")
response = client.chat.completions.create(
    model="z-ai/glm-5v-turbo",
    messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)
JavaScript
import OpenAI from "openai";
const client = new OpenAI({ apiKey: "ng-YOUR_API_KEY", baseURL: "https://api.hormouz.net/v1" });
const response = await client.chat.completions.create({
  model: "z-ai/glm-5v-turbo",
  messages: [{ role: "user", content: "Hello!" }],
});
console.log(response.choices[0].message.content);

Buy the Z.ai: GLM 5V Turbo API, paid in rial

  • Buy credit with an Iranian bank card; no foreign card or account needed.
  • One Hormouz key reaches Z.ai: GLM 5V Turbo and 600+ other models, and you pay only for what you use.
  • No VPN and no risk of a banned account; just change the base URL to api.hormouz.net/v1.
Create an account

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FAQ

How much does GLM 5V Turbo cost?
Billing is usage-based: $1.2/M in · $4/M out. There is no fixed monthly fee. You pay only for what you use.
How do I use GLM 5V Turbo from inside Iran?
Create a Hormouz account and generate an API key. Hormouz gives you a stable route to the model from inside Iran, with no foreign credit card or circumvention tooling needed.
Is GLM 5V Turbo OpenAI-compatible?
Yes. Hormouz serves an OpenAI-compatible API. Point your base URL at Hormouz and swap in a Hormouz key; your existing SDKs and code work without a rewrite.
What inputs does GLM 5V Turbo accept?
It is natively multimodal. It accepts image, video and text input and produces text output.
What is GLM 5V Turbo good for?
Vision-based coding, long-horizon planning, agent-driven task execution and the perceive-plan-execute loop.
How large is GLM 5V Turbo's context window?
The context window is roughly 200K tokens, and the model supports tool calling.

Updated 2026-10-13