Model Comparison

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

OpenAI

GPT-4

OpenAI

GPT-4 is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 77.7% across 12 benchmarks. It excels particularly in AI2 Reasoning Challenge (ARC) (96.3%), HellaSwag (95.3%), Uniform Bar Exam (90.0%). The model shows particular specialization in reasoning tasks with an average performance of 93.0%. The model is available through 2 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly.

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.

OpenAI

GPT-4

OpenAI

2023-06-13

Meta

Llama 3.3 70B Instruct

Meta

2024-12-06

1 year newer

Pricing Comparison

Cost per million tokens (USD)

OpenAI

GPT-4

Input:$30.00
Output:$60.00
Meta

Llama 3.3 70B Instruct

$89.60 cheaper
Input:$0.20
Output:$0.20

Performance Metrics

Context window and performance specifications

OpenAI

GPT-4

Max Context:65.5K
Meta

Llama 3.3 70B Instruct

Larger context
Max Context:256.0K
Parameters:70.0B

Average performance across 5 common benchmarks

OpenAI

GPT-4

Average Score:61.1%
Meta

Llama 3.3 70B Instruct

+17.5%
Average Score:78.6%

Performance comparison across key benchmark categories

OpenAI

GPT-4

code
67.0%
math
68.5%
general
+5.5%
76.2%
Meta

Llama 3.3 70B Instruct

code
+22.4%
89.4%
math
+15.5%
84.0%
general
70.7%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

GPT-4

2022-12-31

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

OpenAI

GPT-4

2 providers

Azure

Throughput: 104 tok/s
Latency: 0.3ms

OpenAI

Throughput: 100 tok/s
Latency: 0.5ms
Meta

Llama 3.3 70B Instruct

9 providers

Sambanova

Throughput: 1096 tok/s
Latency: 0.65ms

Together

Throughput: 65 tok/s
Latency: 0.65ms

Hyperbolic

Throughput: 42 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

Lambda

Throughput: 42 tok/s
Latency: 0.65ms

Cerebras

Throughput: 2220 tok/s
Latency: 0.65ms
OpenAI

GPT-4

Avg Score:61.1%
Providers:2
Meta

Llama 3.3 70B Instruct

+17.5%
Avg Score:78.6%
Providers:9