Model Comparison

Comprehensive side-by-side analysis of model capabilities and performance

GLM-4.5V

Zhipu AI

GLM-4.5V is a multimodal language model developed by Zhipu AI. It supports a 197K token context window for handling large documents. The model is available through 2 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Zhipu AI's latest advancement in AI technology.

Meta

Llama 3.2 11B Instruct

Meta

Llama 3.2 11B Instruct is a multimodal language model developed by Meta. It achieves strong performance with an average score of 63.6% across 11 benchmarks. It excels particularly in AI2D (91.1%), DocVQA (88.4%), ChartQA (83.4%). It supports a 256K token context window for handling large documents. The model is available through 6 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents Meta's latest advancement in AI technology.

Meta

Llama 3.2 11B Instruct

Meta

2024-09-25

GLM-4.5V

Zhipu AI

2025-08-11

10 months newer

Pricing Comparison

Cost per million tokens (USD)

GLM-4.5V

Input:$0.60
Output:$2.20
Meta

Llama 3.2 11B Instruct

$2.70 cheaper
Input:$0.05
Output:$0.05

Performance Metrics

Context window and performance specifications

GLM-4.5V

Max Context:196.6K
Parameters:108.0B
Meta

Llama 3.2 11B Instruct

Larger context
Max Context:256.0K
Parameters:10.6B

Average performance across 11 common benchmarks

GLM-4.5V

Average Score:0.0%
Meta

Llama 3.2 11B Instruct

+63.6%
Average Score:63.6%
Knowledge Cutoff
Training data recency comparison

Llama 3.2 11B Instruct

2023-12-31

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

GLM-4.5V

2 providers

Novita

ZeroEval

Throughput: 85 tok/s
Latency: 0.7ms
Meta

Llama 3.2 11B Instruct

6 providers

Sambanova

Throughput: 100 tok/s
Latency: 0.5ms

Together

Throughput: 168 tok/s
Latency: 0.5ms

DeepInfra

Throughput: 108 tok/s
Latency: 0.5ms

Fireworks

Throughput: 125 tok/s
Latency: 0.2ms

Groq

Throughput: 100 tok/s
Latency: 0.5ms

Bedrock

Throughput: 100 tok/s
Latency: 0.5ms

GLM-4.5V

Avg Score:0.0%
Providers:2
Meta

Llama 3.2 11B Instruct

+63.6%
Avg Score:63.6%
Providers:6