Model Comparison

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

Llama 3.2 3B Instruct

Meta

Llama 3.2 3B Instruct is a language model developed by Meta. The model shows competitive results across 15 benchmarks. It excels particularly in NIH/Multi-needle (84.7%), ARC-C (78.6%), GSM8k (77.7%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, it represents Meta's latest advancement in AI technology.

o1

OpenAI

o1 is a language model developed by OpenAI. It achieves strong performance with an average score of 71.6% across 19 benchmarks. It excels particularly in GSM8k (97.1%), MATH (96.4%), GPQA Physics (92.8%). It supports a 300K 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.

Llama 3.2 3B Instruct

Pricing Comparison

Cost per million tokens (USD)

Llama 3.2 3B Instruct

$74.97 cheaper

Input:$0.01

Output:$0.02

Input:$15.00

Output:$60.00

Performance Metrics

Context window and performance specifications

Llama 3.2 3B Instruct

Max Context:256.0K

Parameters:3.2B

Larger context

Max Context:300.0K

Average performance across 5 common benchmarks

Llama 3.2 3B Instruct

Average Score:56.0%

+34.5%

Average Score:90.5%

Performance comparison across key benchmark categories

Llama 3.2 3B Instruct

code

77.4%

math

61.3%

general

42.5%

code

+10.7%

88.1%

math

+10.7%

72.0%

general

+29.4%

71.8%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

Llama 3.2 3B Instruct

1 providers

DeepInfra

Throughput: 171.5 tok/s

Latency: 0.24ms

2 providers

Azure

Throughput: 16 tok/s

Latency: 0.54ms

OpenAI

Throughput: 66 tok/s

Latency: 16.2ms

Llama 3.2 3B Instruct

Avg Score:56.0%

Providers:1

+34.5%

Avg Score:90.5%

Providers:2