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GLM 4.5V vs GPT-4o (2024-08-06)

How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for GLM 4.5V and GPT-4o (2024-08-06).

Zhipu AI

GLM 4.5V

GLM-4.5V is a vision-language foundation model for multimodal agent applications. Built on a Mixture-of-Experts (MoE) architecture with 106B parameters and 12B activated parameters, it achieves state-of-the-art results in video understanding,...

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OpenAI

GPT-4o (2024-08-06)

The 2024-08-06 version of GPT-4o offers improved performance in structured outputs, with the ability to supply a JSON schema in the respone_format. Read more [here](https://openai.com/index/introducing-structured-outputs-in-the-api/). GPT-4o ("o" for "omni") is...

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Technical Specifications

SpecificationGLM 4.5VGPT-4o (2024-08-06)
ProviderZhipu AIOpenAI
Context Window65,536 tokens128,000 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2025-08-112024-08-06

API Pricing Comparison

Input Price per Million Tokens

GLM 4.5V

$0.60

GPT-4o (2024-08-06)

$2.50

Output Price per Million Tokens

GLM 4.5V

$1.80

GPT-4o (2024-08-06)

$10.00

Want to test both models live?

Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.

GLM 4.5V Quirks & Gotchas

No developer gotchas reported.

GPT-4o (2024-08-06) Quirks & Gotchas

No developer gotchas reported.