glm-4.7

completions

byopenrouter

glm-4.7

completions

Published by: zaiProvider:

openrouter

GLM-4.7 is Z.ai’s latest flagship model, featuring upgrades in two key areas: enhanced programming capabilities and more stable multi-step reasoning/execution. It demonstrates significant improvements in executing complex agent tasks while delivering more natural conversational experiences and superior front-end aesthetics.

Released

Dec 22, 2025

Knowledge

Jun 25, 2025

License

MIT

Context

202752

Input

$0.39 / 1M tokens

Output

$1.78 / 1M tokens

Cached

$0.14 / 1M tokens

Capabilities: tools, reasoning

Accepts: text

Returns: text

Released Dec 22, 2025Knowledge Cutoff: Jun 25, 2025License: MIT

Context: 202752 Input: $0.39 / 1M tokensOutput: $1.78 / 1M tokensCached: $0.14 / 1M tokensCapabilities: tools, reasoningAccepts: textReturns: text

Access glm-4.7 through LangDB AI Gateway

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Benchmark Results for glm-4.7

Category Performance Scores:

Maths: Score 95.00 (Top 4% - Rank #14)
Finance: Score 68.50 (Top 4% - Rank #14)
Science: Score 78.72 (Top 8% - Rank #27)
Writing: Score 69.59 (Top 11% - Rank #38)
Academia: Score 63.90 (Top 6% - Rank #21)
Marketing: Score 69.30 (Top 6% - Rank #21)
Programming: Score 36.30 (Top 12% - Rank #41)

Overall Performance: 68.75928571428571 average score across all categories

Detailed Benchmark Scores:

Benchmark	Score	Percentile	Domain
HLE	25.10	Top 6%	General Knowledge
GPQA	85.80	Top 6%	STEM (Physics, Chemistry, Biology)
SciCode	45.10	Top 6%	Scientific
MMLU-Pro	84.95	Top 14%	General Knowledge
LiveCodeBench	89.40	Top 2%	Programming
AA Math Index	95.00	Top 4%	Mathematics
AA Coding Index	36.30	Top 12%	Programming
AAII	42.00	Top 6%	General

GPQA Score: 85.80 - Graduate-level reasoning benchmark

Model Comparison:

Provider: openrouter

Model Type: completions

Context Size: 202752 tokens

Comparing against 337 models in the database

Category Scores

maths#6 finance#7

Benchmark Tests

View Other Benchmarks

HLE

25.1

General Knowledge

GPQA

85.8

STEM (Physics, Chemistry, Biology)

SciCode

45.1

Scientific

MMLU-Pro

84.9

General Knowledge

LiveCodeBench

89.4

Programming

AA Math Index

95.0

Mathematics

AA Coding Index

36.3

Programming

AAII

42.0

General

Metric	HLE	GPQA	SciCode	MMLU-Pro	LiveCodeBench	AA Math Index	AA Coding Index	AAII
Score	25.1	85.8	45.1	84.9	89.4	95.0	36.3	42.0

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Code Examples

Integration samples and API usage

Code Samples for glm-4.7

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-4.7",
    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-4.7",
    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-4.7",
    "messages": [
        {"role": "user", "content": "Hello, how are you?"}
    ]
  }'

Model: glm-4.7

Provider: openrouter

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

Create API Key

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glm-4.7 by openrouter - AI Model Details, Pricing, and Performance Metrics

glm-4.7

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Access glm-4.7 through LangDB AI Gateway

Category Scores

Benchmark Tests

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Code Examples

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