GLM-4.7

Name: GLM-4.7
Author: Zhipu AI

Zhipu AI

GLM-4.7 is a large language model by Zhipu AI, delivering strong performance in reasoning, coding, mathematics, and multi-turn conversation. It features an improved architecture over GLM-4.5 with enhanced long-context processing and instruction following.

Key Specifications

Parameters

358.0B

Context

204.8K

Release Date

December 21, 2025

Average Score

72.9%

API Documentation Research Paper Model Weights Results Blog

Timeline

Key dates in the model's history

Announcement

December 21, 2025

Last Update

January 12, 2026

Today

September 4, 2026

Technical Specifications

Parameters

358.0B

Training Tokens

Knowledge Cutoff

Family

Capabilities

MultimodalZeroEval

Pricing & Availability

Input (per 1M tokens)

$0.60

Output (per 1M tokens)

$2.20

Max Input Tokens

204.8K

Max Output Tokens

131.1K

Supported Features

Function CallingStructured OutputCode ExecutionWeb SearchBatch InferenceFine-tuning

Benchmark Results

Model performance metrics across various tests and benchmarks

Programming

Programming skills tests

SWE-Bench Verified

• Self-reported

73.8%

Reasoning

Logical reasoning and analysis

GPQA

Diamond subset • Self-reported

86.0%

Other Tests

Specialized benchmarks

AIME 2025

• Self-reported

96.0%

τ²-Bench

• Self-reported

87.0%

LiveCodeBench v6

• Self-reported

85.0%

MMLU-Pro

• Self-reported

84.0%

IMO-AnswerBench

• Self-reported

82.0%

Terminal-Bench

• Self-reported

41.0%

BrowseComp

• Self-reported

51.0%

HLE

• Self-reported

42.8%

License & Metadata

License

mit

Announcement Date

December 21, 2025

Last Updated

January 12, 2026

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