glm-4.5

completions

On:parasailzai

glm-4.5

completions

Published by: z-aiProviders:

parasail zai

GLM-4.5 is our latest flagship foundation model, purpose-built for agent-based applications. It leverages a Mixture-of-Experts (MoE) architecture and supports a context length of up to 128k tokens. GLM-4.5 delivers significantly enhanced capabilities in reasoning, code generation, and agent alignment. It supports a hybrid inference mode with two options, a "thinking mode" designed for complex reasoning and tool use, and a "non-thinking mode" optimized for instant responses.

Provider	Input	Output	Cached
parasail	$0.59 / 1M tokens	$2.1 / 1M tokens	-
zai	$0.6 / 1M tokens	$2.2 / 1M tokens	$0.11 / 1M tokens

Released

Jul 28, 2025

Knowledge

Jan 29, 2025

Context

131072

Input

$0.59 / 1M tokens

Output

$2.1 / 1M tokens

Accepts: text

Returns: text

Providers	Context	Input Price	Cached	Output Price	Input Formats	Output Formats	License
parasail	131072 tokens	$0.59 / 1M tokens	_	$2.1 / 1M tokens	text	text	MIT
zai	131072 tokens	$0.6 / 1M tokens	$0.11 / 1M tokens	$2.2 / 1M tokens	text	text	MIT

Released Jul 28, 2025Knowledge Cutoff: Jan 29, 2025

Access glm-4.5 through LangDB AI Gateway

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Available from 2 providers

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Benchmark Results for glm-4.5

Category Performance Scores:

Academia: Score 64.02 (Top 9% - Rank #32)
Finance: Score 61.55 (Top 18% - Rank #63)
Marketing: Score 57.60 (Top 14% - Rank #49)
Maths: Score 73.70 (Top 18% - Rank #63)
Programming: Score 54.30 (Top 7% - Rank #25)
Science: Score 73.37 (Top 13% - Rank #45)
Writing: Score 57.13 (Top 20% - Rank #69)

Overall Performance: 63.09666666666667 average score across all categories

Detailed Benchmark Scores:

Benchmark	Score	Percentile	Domain
AIME	87.30	Top 6%	Mathematics
AA Coding Index	54.30	Top 7%	Programming
AAII	49.40	Top 11%	General
AA Math Index	73.70	Top 18%	Mathematics
GPQA	78.65	Top 12%	STEM (Physics, Chemistry, Biology)
HLE	12.20	Top 9%	General Knowledge
LiveCodeBench	73.80	Top 6%	Programming
MATH-500	97.90	Top 5%	Mathematics
MMLU-Pro	84.05	Top 9%	General Knowledge
SciCode	34.80	Top 27%	Scientific

GPQA Score: 78.65 - Graduate-level reasoning benchmark

Model Comparison:

Provider: parasail

Model Type: completions

Context Size: 131072 tokens

Comparing against 345 models in the database

Category Scores

Benchmark Tests

View Other Benchmarks

AIME

87.3

Mathematics

AA Coding Index

54.3

Programming

AAII

49.4

General

AA Math Index

73.7

Mathematics

GPQA

78.6

STEM (Physics, Chemistry, Biology)

HLE

12.2

General Knowledge

LiveCodeBench

73.8

Programming

MATH-500

97.9

Mathematics

MMLU-Pro

84.0

General Knowledge

SciCode

34.8

Scientific

Metric	AIME	AA Coding Index	AAII	AA Math Index	GPQA	HLE	LiveCodeBench	MATH-500	MMLU-Pro	SciCode
Score	87.3	54.3	49.4	73.7	78.6	12.2	73.8	97.9	84.0	34.8

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Code Examples

Integration samples and API usage

Code Samples for glm-4.5

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

Model: glm-4.5

Provider: parasail

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

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

glm-4.5

glm-4.5

Access glm-4.5 through LangDB AI Gateway

Category Scores

Benchmark Tests

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Code Examples

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