Model Comparison

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

OpenAI

GPT-4 Turbo

OpenAI

GPT-4 Turbo is a language model developed by OpenAI. It achieves strong performance with an average score of 78.1% across 6 benchmarks. It excels particularly in MGSM (88.5%), HumanEval (87.1%), MMLU (86.5%). It supports a 132K token context window for handling large documents. The model is available through 2 API providers. Released in 2024, it represents OpenAI's latest advancement in AI technology.

Meta

Llama 3.2 90B Instruct

Meta

Llama 3.2 90B Instruct is a multimodal language model developed by Meta. It achieves strong performance with an average score of 71.3% across 13 benchmarks. It excels particularly in AI2D (92.3%), DocVQA (90.1%), MGSM (86.9%). It supports a 256K token context window for handling large documents. The model is available through 5 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 2024, it represents Meta's latest advancement in AI technology.

OpenAI

GPT-4 Turbo

OpenAI

2024-04-09

Meta

Llama 3.2 90B Instruct

Meta

2024-09-25

5 months newer

Pricing Comparison

Cost per million tokens (USD)

OpenAI

GPT-4 Turbo

Input:$10.00
Output:$30.00
Meta

Llama 3.2 90B Instruct

$39.25 cheaper
Input:$0.35
Output:$0.40

Performance Metrics

Context window and performance specifications

OpenAI

GPT-4 Turbo

Max Context:132.1K
Meta

Llama 3.2 90B Instruct

Larger context
Max Context:256.0K
Parameters:90.0B

Average performance across 4 common benchmarks

OpenAI

GPT-4 Turbo

+2.0%
Average Score:73.9%
Meta

Llama 3.2 90B Instruct

Average Score:71.9%

Performance comparison across key benchmark categories

OpenAI

GPT-4 Turbo

math
+9.8%
80.5%
general
+0.0%
73.5%
Meta

Llama 3.2 90B Instruct

math
70.7%
general
73.5%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

GPT-4 Turbo

2023-12-31

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

OpenAI

GPT-4 Turbo

2 providers

Azure

Throughput: 97 tok/s
Latency: 0.6ms

OpenAI

Throughput: 100 tok/s
Latency: 0.5ms
Meta

Llama 3.2 90B Instruct

5 providers

Together

Throughput: 57 tok/s
Latency: 0.5ms

Hyperbolic

Throughput: 42 tok/s
Latency: 0.5ms

DeepInfra

Throughput: 24 tok/s
Latency: 0.5ms

Fireworks

Throughput: 50 tok/s
Latency: 0.5ms

Bedrock

Throughput: 100 tok/s
Latency: 0.5ms
OpenAI

GPT-4 Turbo

+2.0%
Avg Score:73.9%
Providers:2
Meta

Llama 3.2 90B Instruct

Avg Score:71.9%
Providers:5