GLM 4.5V vs GPT-4 (Comparative Analysis)
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Overview
GPT-4 was released 2 years before GLM 4.5V.
Model Provider The organization behind this AI's development | ||
Input Context Window Maximum input tokens this model can process at once | 65.5K tokens | 8.2K tokens |
Output Token Limit Maximum output tokens this model can generate at once | 16.4K tokens | 4.1K tokens |
Release Date When this model first became publicly available | August 11, 2025 1 year ago August 11th, 2025 | May 28, 2023 3 years ago May 28th, 2023 |
Knowledge Cutoff Latest training-data date reported by the provider | December 31, 2024 | September 30, 2021 |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
GLM 4.5V | GPT-4 | |
|---|---|---|
Input Types Supported input formats | 📝Text🖼️Image | 📝Text |
Reasoning Controls Defaults and configurable reasoning effort | Optional | Not reported |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | Other | GPT |
Key Features Advanced capabilities | ✓Function Calling✓Structured Output✓Reasoning ModeContent Moderation | ✓Function Calling✓Structured OutputReasoning ModeContent Moderation |
Open Source Model availability | Available on HuggingFace → | Proprietary |
Pricing
GLM 4.5V is roughly 0.02x less expensive compared to GPT-4 for input tokens and roughly 0.03x less expensive for output tokens.
Input Token Cost Cost per million input tokens | $0.60 per million tokens | $30.00 per million tokens |
Output Token Cost Cost per million output tokens | $1.80 per million tokens | $60.00 per million tokens |
Cache Read Cost Cost to reuse cached input tokens | $0.11 per million tokens | Not specified |
Benchmarks
Compare relevant benchmarks between GLM 4.5V and GPT-4.
Coding Index Programming performance across independent evaluations | Benchmark not available. | 13.1 (Artificial Analysis index; higher is better) |
At a Glance
Quick overview of what makes GLM 4.5V and GPT-4 unique.
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