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 3.3 70B Instruct

Meta

Llama 3.3 70B Instruct is a language model developed by Meta. It achieves strong performance with an average score of 79.9% across 9 benchmarks. It excels particularly in IFEval (92.1%), MGSM (91.1%), HumanEval (88.4%). The model shows particular specialization in code tasks with an average performance of 89.4%. It supports a 256K token context window for handling large documents. The model is available through 9 API providers. Released in 2024, it represents Meta's latest advancement in AI technology.

Meta

Llama 3.3 70B Instruct

Meta

2024-12-06

GLM-4.5V

Zhipu AI

2025-08-11

8 months newer

Pricing Comparison

Cost per million tokens (USD)

GLM-4.5V

Input:$0.60
Output:$2.20
Meta

Llama 3.3 70B Instruct

$2.40 cheaper
Input:$0.20
Output:$0.20

Performance Metrics

Context window and performance specifications

GLM-4.5V

Max Context:196.6K
Parameters:108.0B
Meta

Llama 3.3 70B Instruct

Larger context
Max Context:256.0K
Parameters:70.0B

Average performance across 9 common benchmarks

GLM-4.5V

Average Score:0.0%
Meta

Llama 3.3 70B Instruct

+79.9%
Average Score:79.9%

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 3.3 70B Instruct

9 providers

Hyperbolic

Throughput: 42 tok/s
Latency: 0.65ms

Sambanova

Throughput: 1096 tok/s
Latency: 0.65ms

Together

Throughput: 65 tok/s
Latency: 0.65ms

DeepInfra

Throughput: 37 tok/s
Latency: 0.65ms

Fireworks

Throughput: 197 tok/s
Latency: 0.65ms

Groq

Throughput: 268 tok/s
Latency: 0.65ms

Bedrock

Throughput: 100 tok/s
Latency: 0.5ms

Cerebras

Throughput: 2220 tok/s
Latency: 0.65ms

Lambda

Throughput: 42 tok/s
Latency: 0.65ms

GLM-4.5V

Avg Score:0.0%
Providers:2
Meta

Llama 3.3 70B Instruct

+79.9%
Avg Score:79.9%
Providers:9