glm-4.5v

completions

On:zaiparasail

glm-4.5v

completions

Published by: z-aiProviders:

zai parasail

GLM-4.5V is a vision-language foundation model for multimodal agent applications. Built on a Mixture-of-Experts (MoE) architecture with 106B parameters and 12B activated parameters, it achieves state-of-the-art results in video understanding, image Q&A, OCR, and document parsing, with strong gains in front-end web coding, grounding, and spatial reasoning. It offers a hybrid inference mode: a "thinking mode" for deep reasoning and a "non-thinking mode" for fast responses.

Provider	Input	Output	Cached
zai	$0.6 / 1M tokens	$1.8 / 1M tokens	$0.11 / 1M tokens
parasail	$0.5 / 1M tokens	$1.8 / 1M tokens	-

Released

Aug 11, 2025

Knowledge

Feb 12, 2025

Context

65536

Input

$0.6 / 1M tokens

Output

$1.8 / 1M tokens

Cached

$0.11 / 1M tokens

Capabilities: tools

Accepts: text, image

Returns: text

Providers	Context	Input Price	Cached	Output Price	Input Formats	Output Formats
zai	65536 tokens	$0.6 / 1M tokens	$0.11 / 1M tokens	$1.8 / 1M tokens	textimage	text
parasail	65536 tokens	$0.5 / 1M tokens	_	$1.8 / 1M tokens	textimage	text

Released Aug 11, 2025Knowledge Cutoff: Feb 12, 2025

Access glm-4.5v through LangDB AI Gateway

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Available from 2 providers

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Benchmark Results for glm-4.5v

Category Performance Scores:

Academia: Score 41.65 (Top 50% - Rank #173)
Finance: Score 20.65 (Top 77% - Rank #266)
Marketing: Score 32.82 (Top 79% - Rank #273)
Maths: Score 15.30 (Top 76% - Rank #263)
Programming: Score 27.00 (Top 56% - Rank #194)
Science: Score 58.26 (Top 52% - Rank #180)
Writing: Score 34.88 (Top 75% - Rank #259)

Overall Performance: 32.93650793650794 average score across all categories

Detailed Benchmark Scores:

Benchmark	Score	Percentile	Domain
AA Coding Index	27.00	Top 56%	Programming
AAII	26.00	Top 57%	General
AA Math Index	15.30	Top 76%	Mathematics
GPQA	57.30	Top 49%	STEM (Physics, Chemistry, Biology)
HLE	3.60	Top 87%	General Knowledge
LiveCodeBench	35.20	Top 40%	Programming
MMLU-Pro	75.10	Top 41%	General Knowledge
SciCode	18.80	Top 72%	Scientific

GPQA Score: 57.30 - Graduate-level reasoning benchmark

Model Comparison:

Provider: zai

Model Type: completions

Context Size: 65536 tokens

Comparing against 345 models in the database

Category Scores

Benchmark Tests

View Other Benchmarks

AA Coding Index

27.0

Programming

AAII

26.0

General

AA Math Index

15.3

Mathematics

GPQA

57.3

STEM (Physics, Chemistry, Biology)

HLE

3.6

General Knowledge

LiveCodeBench

35.2

Programming

MMLU-Pro

75.1

General Knowledge

SciCode

18.8

Scientific

Metric	AA Coding Index	AAII	AA Math Index	GPQA	HLE	LiveCodeBench	MMLU-Pro	SciCode
Score	27.0	26.0	15.3	57.3	3.6	35.2	75.1	18.8

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Code Examples

Integration samples and API usage

Code Samples for glm-4.5v

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-4.5v",
    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-4.5v",
    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-4.5v",
    "messages": [
        {"role": "user", "content": "Hello, how are you?"}
    ]
  }'

Model: glm-4.5v

Provider: zai

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

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glm-4.5v by zai - AI Model Details, Pricing, and Performance Metrics

glm-4.5v

glm-4.5v

Access glm-4.5v through LangDB AI Gateway

Category Scores

Benchmark Tests

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