glm-5

completions

byopenrouter

glm-5

completions

Published by: zaiProvider:

openrouter

GLM-5 is Z.ai’s flagship open-source foundation model engineered for complex systems design and long-horizon agent workflows. Built for expert developers, it delivers production-grade performance on large-scale programming tasks, rivaling leading closed-source models. With advanced agentic planning, deep backend reasoning, and iterative self-correction, GLM-5 moves beyond code generation to full-system construction and autonomous execution.

Released

Feb 11, 2026

Knowledge

Aug 15, 2025

License

MIT

Context

204800

Input

$0.75 / 1M tokens

Output

$2.97 / 1M tokens

Cached

$0.19 / 1M tokens

Capabilities: tools, reasoning

Accepts: text

Returns: text

Released Feb 11, 2026Knowledge Cutoff: Aug 15, 2025License: MIT

Context: 204800 Input: $0.75 / 1M tokensOutput: $2.97 / 1M tokensCached: $0.19 / 1M tokensCapabilities: tools, reasoningAccepts: textReturns: text

Access glm-5 through LangDB AI Gateway

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Benchmark Results for glm-5

Category Performance Scores:

Science: Score 72.04 (Top 32% - Rank #108)
Writing: Score 65.23 (Top 20% - Rank #68)
Academia: Score 65.80 (Top 5% - Rank #17)
Marketing: Score 66.32 (Top 12% - Rank #41)
Programming: Score 44.20 (Top 4% - Rank #14)

Overall Performance: 62.716606060606054 average score across all categories

Detailed Benchmark Scores:

Benchmark	Score	Percentile	Domain
HLE	27.20	Top 3%	General Knowledge
GPQA	82.00	Top 16%	STEM (Physics, Chemistry, Biology)
SciCode	46.20	Top 4%	Scientific
AA Coding Index	44.20	Top 4%	Programming
AAII	49.60	Top 1%	General

GPQA Score: 82.00 - Graduate-level reasoning benchmark

Model Comparison:

Provider: openrouter

Model Type: completions

Context Size: 204800 tokens

Comparing against 337 models in the database

Category Scores

academia#9 programming#7

Benchmark Tests

View Other Benchmarks

HLE

27.2

General Knowledge

GPQA

82.0

STEM (Physics, Chemistry, Biology)

SciCode

46.2

Scientific

AA Coding Index

44.2

Programming

AAII

49.6

General

Metric	HLE	GPQA	SciCode	AA Coding Index	AAII
Score	27.2	82.0	46.2	44.2	49.6

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Code Examples

Integration samples and API usage

Code Samples for glm-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-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-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-5",
    "messages": [
        {"role": "user", "content": "Hello, how are you?"}
    ]
  }'

Model: glm-5

Provider: openrouter

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

Create API Key

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