glm-5v-turbo

completions

byopenrouter

glm-5v-turbo

completions

Published by: zaiProvider:

openrouter

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, and task execution, and works seamlessly with agents to complete the full loop of “perceive → plan → execute“.

Released

Apr 2, 2026

Knowledge

Oct 4, 2025

License

Proprietary

Context

202752

Input

$1.2 / 1M tokens

Output

$4 / 1M tokens

Cached

$0.24 / 1M tokens

Capabilities: tools, reasoning

Accepts: text, image

Returns: text

Released Apr 2, 2026Knowledge Cutoff: Oct 4, 2025License: Proprietary

Context: 202752 Input: $1.2 / 1M tokensOutput: $4 / 1M tokensCached: $0.24 / 1M tokensCapabilities: tools, reasoningAccepts: text, imageReturns: text

Access glm-5v-turbo through LangDB AI Gateway

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Benchmark Results for glm-5v-turbo

Category Performance Scores:

Science: Score 69.06 (Top 45% - Rank #157)
Writing: Score 58.99 (Top 32% - Rank #112)
Academia: Score 61.90 (Top 16% - Rank #56)
Marketing: Score 59.95 (Top 28% - Rank #98)
Programming: Score 36.20 (Top 16% - Rank #56)

Overall Performance: 57.220727272727274 average score across all categories

Detailed Benchmark Scores:

Benchmark	Score	Percentile	Domain
HLE	15.80	Top 23%	General Knowledge
GPQA	80.90	Top 29%	STEM (Physics, Chemistry, Biology)
SciCode	43.50	Top 10%	Scientific
AA Coding Index	36.20	Top 16%	Programming
AAII	42.90	Top 9%	General

GPQA Score: 80.90 - Graduate-level reasoning benchmark

Model Comparison:

Provider: openrouter

Model Type: completions

Context Size: 202752 tokens

Comparing against 348 models in the database

Category Scores

Benchmark Tests

View Other Benchmarks

HLE

15.8

General Knowledge

GPQA

80.9

STEM (Physics, Chemistry, Biology)

SciCode

43.5

Scientific

AA Coding Index

36.2

Programming

AAII

42.9

General

Metric	HLE	GPQA	SciCode	AA Coding Index	AAII
Score	15.8	80.9	43.5	36.2	42.9

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Code Examples

Integration samples and API usage

Code Samples for glm-5v-turbo

Python SDK Example:

from openai import OpenAI

client = OpenAI(
    base_url="https://api.us-east-1.langdb.ai/projects/<your_project_id>",
    api_key="<your_api_key>"
)

response = client.chat.completions.create(
    model="glm-5v-turbo",
    messages=[
        {"role": "user", "content": "Hello, how are you?"}
    ]
)

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

TypeScript SDK Example:

import OpenAI from 'openai';

const client = new OpenAI({
    baseURL: "https://api.us-east-1.langdb.ai/projects/<your_project_id>",
    apiKey: "<your_api_key>"
});

const response = await client.chat.completions.create({
    model: "glm-5v-turbo",
    messages: [
        { role: "user", content: "Hello, how are you?" }
    ]
});

console.log(response.choices[0].message.content);

cURL Example:

curl -X POST "https://api.us-east-1.langdb.ai/projects/<your_project_id>/v1/chat/completions" \
  -H "Authorization: Bearer <your_api_key>" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "glm-5v-turbo",
    "messages": [
        {"role": "user", "content": "Hello, how are you?"}
    ]
  }'

Model: glm-5v-turbo

Provider: openrouter

API Endpoint: $https://api.us-east-1.langdb.ai

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