GLM 4.6 vs Qwen2.5 VL 32B Instruct (Comparative Analysis)

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Comparative Analysis: GLM 4.6 vs. Qwen2.5 VL 32B Instruct

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Overview

Qwen2.5 VL 32B Instruct was released 6 months before GLM 4.6.

	GLM 4.6	Qwen2.5 VL 32B Instruct
Model Provider The organization behind this AI's development	Z.AI	Qwen
Input Context Window Maximum input tokens this model can process at once	202.8K tokens	16.4K tokens
Output Token Limit Maximum output tokens this model can generate at once	202.8K tokens	16.4K tokens
Release Date When this model first became publicly available	September 30, 2025 1 month ago September 30th, 2025	March 24, 2025 7 months ago March 24th, 2025

Capabilities & Features

Compare supported features, modalities, and advanced capabilities

	GLM 4.6	Qwen2.5 VL 32B Instruct
Input Types Supported input formats	📝Text	📝Text🖼️Image
Output Types Supported output formats	📝Text	📝Text
Tokenizer Text encoding system	Other	Qwen
Key Features Advanced capabilities	✓Function Calling✓Structured Output✓Reasoning ModeContent Moderation	Function Calling✓Structured OutputReasoning ModeContent Moderation
Open Source Model availability	Proprietary	Available on HuggingFace →

Pricing

GLM 4.6 is roughly 8.0x more expensive compared to Qwen2.5 VL 32B Instruct for input tokens and roughly 8.0x more expensive for output tokens.

	GLM 4.6	Qwen2.5 VL 32B Instruct
Input Token Cost Cost per million input tokens	$0.40 per million tokens	$0.05 per million tokens
Output Token Cost Cost per million outut tokens	$1.75 per million tokens	$0.22 per million tokens

Benchmarks

Compare relevant benchmarks between GLM 4.6 and Qwen2.5 VL 32B Instruct.

	GLM 4.6	Qwen2.5 VL 32B 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 32B Instruct unique.

GLM 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.

Qwen2.5 VL 32B Instruct by Qwen understands both text and images, generates structured data. It can handle standard conversations with its 16.4K token context window. Very affordable at $0.05/M input and $0.22/M output tokens. Released March 24th, 2025.