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GLM 4.6 vs Qwen2.5-VL 7B Instruct (Comparative Analysis)

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Comparative Analysis: GLM 4.6 vs. Qwen2.5-VL 7B Instruct
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Overview

Qwen2.5-VL 7B Instruct was released 1 year before GLM 4.6.
GLM 4.6GLM 4.6
Qwen2.5-VL 7B InstructQwen2.5-VL 7B Instruct
Model Provider
The organization behind this AI's development
Z.AI logoZ.AI
Qwen logoQwen
Input Context Window
Maximum input tokens this model can process at once
202.8K
tokens
32.8K
tokens
Output Token Limit
Maximum output tokens this model can generate at once
202.8K
tokens
Not specified
tokens
Release Date
When this model first became publicly available
September 30th, 2025
August 28th, 2024

Capabilities & Features

Compare supported features, modalities, and advanced capabilities
GLM 4.6
Qwen2.5-VL 7B Instruct
Input Types
Supported input formats
📝Text
📝Text🖼️Image
Output Types
Supported output formats
📝Text
📝Text
Tokenizer
Text encoding system
OtherQwen
Key Features
Advanced capabilities
Function CallingStructured OutputReasoning ModeContent Moderation
Function CallingStructured OutputReasoning ModeContent Moderation
Open Source
Model availability
ProprietaryAvailable on HuggingFace →

Pricing

GLM 4.6 is roughly 2.0x more expensive compared to Qwen2.5-VL 7B Instruct for input tokens and roughly 8.8x more expensive for output tokens.
GLM 4.6GLM 4.6
Qwen2.5-VL 7B InstructQwen2.5-VL 7B Instruct
Input Token Cost
Cost per million input tokens
$0.40
per million tokens
$0.20
per million tokens
Output Token Cost
Cost per million outut tokens
$1.75
per million tokens
$0.20
per million tokens

Benchmarks

Compare relevant benchmarks between GLM 4.6 and Qwen2.5-VL 7B Instruct.
GLM 4.6GLM 4.6
Qwen2.5-VL 7B InstructQwen2.5-VL 7B Instruct
MMLU
Measures knowledge across 57 subjects like law, math, history, and science
Benchmark not available.
Benchmark not available.
MMMU
Measures understanding of combined text and images across various domains
Benchmark not available.
Benchmark not available.
HellaSwag
Measures common sense reasoning by having models complete sentences about everyday situations
Benchmark not available.
Benchmark not available.

At a Glance

Quick overview of what makes GLM 4.6 and Qwen2.5-VL 7B Instruct unique.
Z.AI logoGLM 4.6 by Z.AI can use external tools and APIs, offers advanced reasoning, generates structured data. It can handle standard conversations with its 202.8K token context window. Very affordable at $0.40/M input and $1.75/M output tokens. Released September 30th, 2025.
Qwen logoQwen2.5-VL 7B Instruct by Qwen understands both text and images, generates structured data. It can handle standard conversations with its 32.8K token context window. Very affordable at $0.20/M input and $0.20/M output tokens. Released August 28th, 2024.

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