GLM-5V-Turbo

Name: GLM-5V-Turbo
Author: Zhipu AI

Multimodal

Zhipu AI

GLM-5V-Turbo is Z.AI's first multimodal coding foundation model, built for vision-based coding tasks. It natively processes multimodal inputs including images, video, text, and files, while excelling at long-horizon planning, complex coding, and action execution.

Key Specifications

Parameters

Context

200.0K

Release Date

April 2, 2026

Average Score

65.0%

API Documentation Results Blog

Timeline

Key dates in the model's history

Announcement

April 2, 2026

Last Update

August 29, 2026

Technical Specifications

Parameters

Training Tokens

Knowledge Cutoff

Family

Capabilities

MultimodalZeroEval

Pricing & Availability

Input (per 1M tokens)

$1.20

Output (per 1M tokens)

$4.00

Max Input Tokens

200.0K

Max Output Tokens

128.0K

Supported Features

Function CallingStructured OutputCode ExecutionWeb SearchBatch InferenceFine-tuning

Benchmark Results

Model performance metrics across various tests and benchmarks

Other Tests

Specialized benchmarks

AndroidWorld

• Self-reported

75.7%

BrowseComp-VL

• Self-reported

51.9%

CC-Bench-V2 Backend

• Self-reported

22.8%

CC-Bench-V2 Frontend

• Self-reported

68.4%

CC-Bench-V2 Repo Exploration

• Self-reported

72.2%

Claw-Eval

Pass@3 • Self-reported

75.0%

Design2Code

• Self-reported

94.8%

FACTS Grounding

• Self-reported

58.6%

Flame-VLM-Code

• Self-reported

93.8%

ImageMining

• Self-reported

30.7%

MMSearch

• Self-reported

72.9%

MMSearch-Plus

• Self-reported

30.0%

OSWorld

• Self-reported

62.3%

PinchBench

Average • Self-reported

80.7%

SimpleVQA

• Self-reported

78.2%

• Self-reported

89.0%

Vision2Web

• Self-reported

31.0%

WebVoyager

• Self-reported

88.5%

ZClawBench

• Self-reported

57.6%

License & Metadata

License

proprietary

Announcement Date

April 2, 2026

Last Updated

August 29, 2026

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