GLM 4 Air 250414

A lightweight and cost-effective inference model launched by Zhipu AI, optimized based on the GLM-4 architecture and supporting a 128K long context window. The output style is standardized and concise, with an average generated length of 3,800 characters. The comprehensive cost is 30 times lower than that of similar models, making it suitable for high-frequency inference scenarios.

Intelligence(Weak)

Speed(Relatively Slow)

Input Supported Modalities

Is Reasoning Model

128,000

Context Window

Maximum Output Tokens

2024-10-31

Knowledge Cutoff

Pricing

￥0.5 /M tokens

Input

- /M tokens

Output

￥0.5 /M tokens

Blended Price

Quick Simple Comparison

GLM-4-Air-250414

￥0.07

GLM-4-Plus

￥0.63

Basic Parameters

GPT-4.1 Technical Parameters

Parameter Count

Not Announced

Context Length

128.00k tokens

Training Data Cutoff

2024-10-31

Open Source Category

Proprietary

Multimodal Support

Text Only

Throughput

Release Date

2025-04-15

Response Speed

64 tokens/s

Benchmark Scores

Below is the performance of claude-monet in various standard benchmark tests. These tests evaluate the model's capabilities in different tasks and domains.

Intelligence Index

Large Language Model Intelligence Level

Coding Index

Indicator of AI model performance on coding tasks

Math Index

Capability indicator in solving mathematical problems, mathematical reasoning, or performing math-related tasks

MMLU Pro

Massive Multitask Multimodal Understanding - Testing understanding of text, images, audio, and video

GPQA

Graduate Physics Questions Assessment - Testing advanced physics knowledge with diamond science-level questions

HLE

The model's comprehensive average score on the Hugging Face Open LLM Leaderboard