Model Comparison

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

OpenAI

GPT-4o mini

OpenAI

GPT-4o mini is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 63.5% across 9 benchmarks. It excels particularly in HumanEval (87.2%), MGSM (87.0%), MMLU (82.0%). It supports a 144K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents OpenAI'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.

OpenAI

GPT-4o mini

OpenAI

2024-07-18

Meta

Llama 3.3 70B Instruct

Meta

2024-12-06

4 months newer

Pricing Comparison

Cost per million tokens (USD)

OpenAI

GPT-4o mini

Input:$0.15
Output:$0.60
Meta

Llama 3.3 70B Instruct

$0.35 cheaper
Input:$0.20
Output:$0.20

Performance Metrics

Context window and performance specifications

OpenAI

GPT-4o mini

Max Context:144.4K
Meta

Llama 3.3 70B Instruct

Larger context
Max Context:256.0K
Parameters:70.0B

Average performance across 5 common benchmarks

OpenAI

GPT-4o mini

Average Score:73.3%
Meta

Llama 3.3 70B Instruct

+5.3%
Average Score:78.6%

Performance comparison across key benchmark categories

OpenAI

GPT-4o mini

code
87.2%
math
71.3%
general
52.7%
Meta

Llama 3.3 70B Instruct

code
+2.2%
89.4%
math
+12.8%
84.0%
general
+18.0%
70.7%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

GPT-4o mini

2023-10-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

OpenAI

GPT-4o mini

1 providers

Azure

Throughput: 92 tok/s
Latency: 0.52ms
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-4o mini

Avg Score:73.3%
Providers:1
Meta

Llama 3.3 70B Instruct

+5.3%
Avg Score:78.6%
Providers:9