glm-4.6

completions

byzai

glm-4.6

completions

Published by: z-aiProvider:

zai

GLM-4.6 achieves comprehensive enhancements across multiple domains, including real-world coding, long-context processing, reasoning, searching, writing, and agentic applications.

Released

Sep 30, 2025

Knowledge

Apr 3, 2025

License

MIT

Context

200K

Input

$0.6 / 1M tokens

Output

$2.2 / 1M tokens

Capabilities: tools, reasoning

Accepts: text

Returns: text

Released Sep 30, 2025Knowledge Cutoff: Apr 3, 2025License: MIT

Context: 200K Input: $0.6 / 1M tokensOutput: $2.2 / 1M tokensCapabilities: tools, reasoningAccepts: textReturns: text

Access glm-4.6 through LangDB AI Gateway

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Benchmark Results for glm-4.6

Category Performance Scores:

Maths: Score 44.30 (Top 54% - Rank #174)
Finance: Score 44.50 (Top 51% - Rank #165)
Science: Score 71.57 (Top 29% - Rank #94)
Writing: Score 48.02 (Top 50% - Rank #161)
Academia: Score 62.85 (Top 25% - Rank #81)
Marketing: Score 47.02 (Top 50% - Rank #161)
Programming: Score 38.70 (Top 36% - Rank #116)

Overall Performance: 50.993809523809524 average score across all categories

Detailed Benchmark Scores:

Benchmark	Score	Percentile	Domain
HLE	5.20	Top 45%	General Knowledge
GPQA	81.00	Top 16%	STEM (Physics, Chemistry, Biology)
SciCode	33.10	Top 44%	Scientific
MMLU-Pro	78.40	Top 43%	General Knowledge
LiveCodeBench	56.10	Top 37%	Programming
AA Math Index	44.30	Top 54%	Mathematics
AA Coding Index	38.70	Top 36%	Programming
AAII	44.70	Top 32%	General

GPQA Score: 81.00 - Graduate-level reasoning benchmark

Model Comparison:

Provider: zai

Model Type: completions

Context Size: 200000 tokens

Comparing against 322 models in the database

Category Scores

Benchmark Tests

View Other Benchmarks

HLE

5.2

General Knowledge

GPQA

81.0

STEM (Physics, Chemistry, Biology)

SciCode

33.1

Scientific

MMLU-Pro

78.4

General Knowledge

LiveCodeBench

56.1

Programming

AA Math Index

44.3

Mathematics

AA Coding Index

38.7

Programming

AAII

44.7

General

Metric	HLE	GPQA	SciCode	MMLU-Pro	LiveCodeBench	AA Math Index	AA Coding Index	AAII
Score	5.2	81.0	33.1	78.4	56.1	44.3	38.7	44.7

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Code Examples

Integration samples and API usage

Code Samples for glm-4.6

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-4.6",
    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-4.6",
    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-4.6",
    "messages": [
        {"role": "user", "content": "Hello, how are you?"}
    ]
  }'

Model: glm-4.6

Provider: zai

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

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