Model Comparison

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

Gemma 2 9B

Google

Gemma 2 9B is a language model developed by Google. It achieves strong performance with an average score of 64.6% across 16 benchmarks. It excels particularly in ARC-E (88.0%), BoolQ (84.2%), HellaSwag (81.9%). The model shows particular specialization in reasoning tasks with an average performance of 79.7%. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Google's latest advancement in AI technology.

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.

Gemma 2 9B

Google

2024-06-27

Llama 3.2 3B Instruct

Performance Metrics

Context window and performance specifications

Gemma 2 9B

Max Context:-

Parameters:9.2B

Llama 3.2 3B Instruct

Larger context

Max Context:256.0K

Parameters:3.2B

Average performance across 5 common benchmarks

Gemma 2 9B

Average Score:65.4%

Llama 3.2 3B Instruct

+2.1%

Average Score:67.5%

Performance comparison across key benchmark categories

Gemma 2 9B

reasoning

+5.5%

79.7%

code

48.5%

general

+23.9%

66.4%

math

52.6%

Llama 3.2 3B Instruct

reasoning

74.2%

code

+28.9%

77.4%

general

42.5%

math

+8.7%

61.3%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

Gemma 2 9B

0 providers

Llama 3.2 3B Instruct

1 providers

DeepInfra

Throughput: 171.5 tok/s

Latency: 0.24ms

Gemma 2 9B

Avg Score:65.4%

Providers:0

Llama 3.2 3B Instruct

+2.1%

Avg Score:67.5%

Providers:1