Model Comparison

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

Google

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.

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.

Google

Gemma 2 9B

Google

2024-06-27

Meta

Llama 3.2 90B Instruct

Meta

2024-09-25

3 months newer

Performance Metrics

Context window and performance specifications

Google

Gemma 2 9B

Max Context:-
Parameters:9.2B
Meta

Llama 3.2 90B Instruct

Larger context
Max Context:256.0K
Parameters:90.0B

Average performance across 2 common benchmarks

Google

Gemma 2 9B

Average Score:53.9%
Meta

Llama 3.2 90B Instruct

+23.1%
Average Score:77.0%

Performance comparison across key benchmark categories

Google

Gemma 2 9B

general
66.4%
math
52.6%
Meta

Llama 3.2 90B Instruct

general
+7.1%
73.5%
math
+18.1%
70.7%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

Google

Gemma 2 9B

0 providers
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
Google

Gemma 2 9B

Avg Score:53.9%
Providers:0
Meta

Llama 3.2 90B Instruct

+23.1%
Avg Score:77.0%
Providers:5